This site provides free access to Iowa geographic map data, including aerial photography, orthophotos, elevation maps, and historical maps. The data is available through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999.

Local Dynamic Map Server Platforms Market Outlook

According to our latest research, the global market size for Local Dynamic Map Server Platforms reached USD 1.56 billion in 2024, with a robust year-on-year growth trajectory. The market is expected to expand at a CAGR of 18.2% from 2025 to 2033, reaching a forecasted value of USD 7.24 billion by 2033. This impressive growth is primarily driven by the rapid adoption of autonomous and connected vehicle technologies, increasing investments in smart infrastructure, and the escalating demand for real-time, high-definition mapping solutions across various sectors. The Local Dynamic Map Server Platforms market is experiencing significant momentum as organizations recognize the critical role of dynamic mapping in enhancing vehicular safety, operational efficiency, and urban mobility.

One of the primary growth drivers for the Local Dynamic Map Server Platforms market is the accelerating deployment of autonomous vehicles and advanced driver-assistance systems (ADAS). The need for real-time, highly precise, and frequently updated mapping data is paramount in ensuring the safe navigation and operation of autonomous vehicles. Local Dynamic Map Server Platforms enable vehicles to access and process dynamic environmental data, such as road conditions, traffic, and temporary obstacles, which are essential for making split-second driving decisions. As automotive OEMs and technology companies intensify their efforts to commercialize autonomous driving, the demand for scalable and reliable map server platforms continues to surge. This trend is further reinforced by regulatory mandates and safety standards that require advanced mapping capabilities for next-generation vehicle platforms.

Another significant factor fueling the growth of the Local Dynamic Map Server Platforms market is the proliferation of connected vehicles and the integration of smart infrastructure solutions. Modern vehicles are increasingly equipped with connectivity features that enable continuous communication with external data sources, infrastructure, and other vehicles. Local Dynamic Map Server Platforms facilitate the real-time exchange of critical information, supporting applications such as cooperative adaptive cruise control, hazard warnings, and route optimization. Furthermore, the rise of smart cities and intelligent transportation systems (ITS) is creating new opportunities for map server platforms to support urban mobility initiatives, traffic management, and emergency response systems. The synergy between connected vehicles and smart infrastructure is expected to drive sustained demand for advanced mapping solutions over the forecast period.

The ongoing digital transformation in transportation and logistics is also contributing to the expansion of the Local Dynamic Map Server Platforms market. Fleet operators and logistics companies are leveraging dynamic mapping technologies to enhance route planning, monitor vehicle movements, and optimize delivery schedules. Real-time map data enables more efficient fleet management, reduces operational costs, and improves customer service by providing accurate ETAs and adapting to changing road conditions. Additionally, the growing adoption of electric and shared mobility services is increasing the complexity of urban transportation networks, further underscoring the need for robust map server platforms. As businesses seek to enhance their competitive edge through digital innovation, investment in dynamic mapping infrastructure is becoming a strategic priority across multiple industries.

From a regional perspective, Asia Pacific is emerging as a key growth engine for the Local Dynamic Map Server Platforms market, driven by rapid urbanization, government-led smart city projects, and the presence of leading automotive manufacturers. North America and Europe continue to be at the forefront of technological innovation, with strong investments in autonomous driving research and the deployment of intelligent transportation systems. Meanwhile, Latin America and the Middle East & Africa are gradually embracing dynamic mapping technologies as part of broader efforts to modernize transportation infrastructure and improve road safety. The global outlook remains highly positive, with all major regions expected to contribute to market expansion through 2033.

Component Analysis

The Local Dynamic Map Server Platforms market is segmented by component into Software, Hardware, and Services

Local Dynamic Map Server Platforms Market Outlook

According to our latest research, the global Local Dynamic Map Server Platforms market size reached USD 1.29 billion in 2024, driven by the rapid adoption of intelligent transportation systems and autonomous mobility solutions. The market is projected to grow at a robust CAGR of 17.4% from 2025 to 2033, reaching an estimated USD 4.57 billion by the end of the forecast period. This substantial growth is attributed to increasing investments in smart infrastructure, the proliferation of autonomous vehicles, and advancements in real-time mapping technologies, underscoring the pivotal role of Local Dynamic Map Server Platforms in the evolving landscape of mobility and transportation.

The growth trajectory of the Local Dynamic Map Server Platforms market is underpinned by the escalating demand for high-precision, real-time mapping data, especially in the context of autonomous vehicles and advanced driver-assistance systems (ADAS). As the automotive industry pivots towards higher levels of automation, the need for platforms capable of aggregating, processing, and distributing dynamic map information becomes indispensable. These platforms enable vehicles to interpret their environment accurately, navigate complex urban landscapes, and respond to rapidly changing road conditions, thereby enhancing safety and operational efficiency. The integration of sensors, IoT devices, and edge computing further amplifies the capabilities of these platforms, making them a critical enabler of next-generation mobility solutions.

Another significant growth factor is the increasing emphasis on smart infrastructure and connected cities. Governments and municipal bodies worldwide are investing heavily in digital infrastructure to support intelligent traffic management, emergency response, and urban planning. Local Dynamic Map Server Platforms play a central role in these initiatives by providing a unified, real-time view of road networks, traffic flows, and infrastructure status. This data-driven approach not only improves traffic efficiency and safety but also supports sustainability goals by optimizing route planning and reducing congestion. The convergence of vehicle-to-everything (V2X) communication and dynamic mapping further enhances the potential of these platforms in creating resilient and adaptive urban ecosystems.

The expanding application scope beyond traditional automotive domains is also propelling market growth. Industries such as logistics, public transportation, and even insurance are leveraging Local Dynamic Map Server Platforms to gain actionable insights, streamline operations, and deliver enhanced services. Fleet management companies, for instance, utilize these platforms to monitor vehicle locations, optimize delivery routes, and ensure compliance with safety regulations. The flexibility to deploy these platforms on-premises or via cloud-based solutions caters to diverse operational requirements, making them accessible to a broader range of end-users. Continuous innovation, coupled with strategic collaborations among technology providers, automotive OEMs, and public sector entities, is fostering a dynamic and competitive market environment.

Regionally, Asia Pacific is emerging as a dominant force in the Local Dynamic Map Server Platforms market, supported by rapid urbanization, government-led smart city projects, and the aggressive rollout of autonomous mobility pilots. North America and Europe also exhibit strong adoption rates, driven by established automotive sectors and robust regulatory frameworks promoting connected and automated vehicles. The Middle East & Africa and Latin America, while currently smaller in market share, are poised for accelerated growth as digital transformation initiatives gain momentum. The interplay of regional policies, investment flows, and technological advancements will continue to shape the competitive landscape and growth opportunities across geographies.

Component Analysis

The Local Dynamic Map Serve

Map Server Platforms for AMRs Market Outlook

According to our latest research, the global map server platforms for AMRs market size reached USD 2.23 billion in 2024, reflecting robust adoption across various industries. The market is experiencing a remarkable growth trajectory, with a recorded CAGR of 16.7% from 2025 to 2033. By the end of 2033, the market is forecasted to achieve a valuation of USD 6.89 billion. This accelerated expansion is primarily driven by the increasing integration of autonomous mobile robots (AMRs) in sectors such as manufacturing, logistics, and healthcare, where real-time navigation and mapping capabilities are critical. As per our research, the rising demand for automation, operational efficiency, and the proliferation of Industry 4.0 initiatives are pivotal factors fueling the growth of the map server platforms for AMRs market globally.

One of the most significant growth factors for the map server platforms for AMRs market is the rapid advancement in robotics and artificial intelligence technologies. Modern AMRs rely heavily on precise and dynamic mapping solutions to navigate complex environments, avoid obstacles, and optimize their routes in real time. The integration of advanced sensors, machine learning algorithms, and cloud-based analytics has substantially improved the accuracy and efficiency of map server platforms. Additionally, the shift towards flexible automation solutions in manufacturing and logistics has led to increased investments in AMR infrastructure, further propelling market growth. The ability of map server platforms to provide seamless updates, support multi-robot coordination, and enable adaptive navigation is becoming indispensable for organizations aiming to boost productivity and reduce operational costs.

Another critical driver for the map server platforms for AMRs market is the surge in e-commerce and the corresponding demand for warehouse automation. The exponential growth of online retail has compelled companies to adopt advanced robotics solutions to streamline inventory management, order fulfillment, and last-mile delivery operations. Map server platforms play a vital role in enabling AMRs to operate autonomously within large, dynamic warehouse environments, ensuring timely and accurate movement of goods. Furthermore, the integration of real-time data analytics and IoT connectivity within these platforms allows for predictive maintenance, route optimization, and enhanced scalability, which are essential for handling fluctuating order volumes and seasonal peaks. This trend is expected to remain a key growth factor throughout the forecast period.

The increasing focus on safety, compliance, and operational transparency is also contributing to the expansion of the map server platforms for AMRs market. Industries such as healthcare and pharmaceuticals are leveraging AMRs for tasks like material transport, disinfection, and patient assistance, where precision and reliability are paramount. Map server platforms facilitate comprehensive monitoring, reporting, and compliance with regulatory standards, thereby enhancing trust and adoption among end-users. Moreover, the ongoing digital transformation across sectors, coupled with government initiatives promoting automation and smart manufacturing, is creating a conducive environment for the widespread deployment of AMRs and their supporting map server platforms.

From a regional perspective, North America currently dominates the map server platforms for AMRs market, accounting for a substantial share of global revenues. This leadership is attributed to the early adoption of automation technologies, a strong presence of leading robotics vendors, and significant investments in research and development. Europe follows closely, with rapid advancements in industrial automation and a growing emphasis on sustainability and operational efficiency. The Asia Pacific region is emerging as the fastest-growing market, driven by large-scale manufacturing activities, expanding e-commerce sectors, and supportive government policies in countries like China, Japan, and South Korea. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a more gradual pace, as awareness and infrastructure for AMR deployment continue to develop.

Component Analysis

The map server platforms for AMRs market is segmented by component into software, hardware, and services, each playing a crucial role in the overall ecosystem. T

The Iowa Geographic Map Server contains Ortho Imagery as WMS Endpoints.

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the legacy WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef. The majority of the layers corresponding to Glenn De'ath's interpolated maps of the GBR developed under the MTSRF program (2008-2010).

This web map service is predominantly maintained for the legacy eAtlas map viewer (http://maps.eatlas.org.au/geoserver/www/map.html). All the these legacy map layers are available through the new eAtlas mapping portal (http://maps.eatlas.org.au), however the legends have not been ported across.

This WMS is implemented using GeoServer version 1.7 software hosted on a server at the Australian Institute of Marine Science.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/geoserver/wms?"

Note: this service has around 460 layers of which approximately half the layers correspond to Standard Error maps, which are WRONG (please ignore all *Std_Error layers.

This services is operated by the Australian Institute of Marine Science and co-funded by the MTSRF program.

Projection Mapping Media Servers Market Outlook

According to our latest research, the global Projection Mapping Media Servers market size reached USD 2.24 billion in 2024, reflecting strong momentum in immersive display technologies across various industries. The market is expected to grow at a robust CAGR of 13.8% from 2025 to 2033, reaching an estimated USD 6.38 billion by 2033. This impressive growth trajectory is primarily fueled by escalating demand for visually captivating experiences in events, entertainment, advertising, and architectural applications, as well as rapid technological advancements in both hardware and software components of projection mapping media servers.

One of the primary growth factors driving the Projection Mapping Media Servers market is the surging adoption of immersive and interactive display solutions in the events and entertainment industry. As live events, concerts, festivals, and theatrical productions increasingly seek to differentiate themselves, projection mapping has emerged as a transformative tool for creating dynamic, large-scale visual spectacles. The ability to project high-resolution images and video content onto complex surfaces, including buildings and stage sets, has revolutionized audience engagement. This trend is further amplified by the proliferation of high-brightness projectors and advanced media server software, allowing for seamless content synchronization and real-time control. As the entertainment sector continues to prioritize unique audience experiences, the demand for sophisticated projection mapping media servers is expected to rise significantly.

Another critical growth driver is the expanding use of projection mapping in advertising and marketing. Brands and agencies are increasingly leveraging projection mapping to deliver visually compelling campaigns that capture consumer attention in crowded urban landscapes. The technology enables advertisers to transform ordinary structures into dynamic storytelling canvases, offering a level of engagement that traditional static billboards cannot match. Furthermore, the integration of interactive elements—such as touch, gesture, and mobile device connectivity—has opened new avenues for experiential marketing. This shift towards immersive advertising is supported by advancements in media server hardware and software, which offer enhanced content rendering, scalability, and ease of deployment, making projection mapping a viable option for both large-scale and localized campaigns.

The proliferation of projection mapping in sectors such as education, simulation, and training also contributes to market growth. Educational institutions and training centers are adopting projection mapping media servers to create interactive learning environments, enhance visualization of complex concepts, and simulate real-world scenarios. This technology is particularly valuable in fields such as medicine, engineering, and military training, where immersive visualization can significantly improve comprehension and retention. The growing emphasis on digital transformation and experiential learning is expected to drive further adoption of projection mapping solutions in these segments, supported by ongoing innovations in both hardware and software platforms.

From a regional perspective, North America currently dominates the Projection Mapping Media Servers market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s vibrant entertainment industry, high concentration of technology providers, and early adoption of immersive display technologies. Europe follows closely, with significant growth driven by robust demand in advertising, architectural projection, and cultural events. Meanwhile, the Asia Pacific region is emerging as the fastest-growing market, propelled by rapid urbanization, increasing investments in smart city projects, and a burgeoning events industry. Countries such as China, Japan, and India are witnessing accelerated adoption of projection mapping media servers, supported by government initiatives and expanding digital infrastructure. As these trends continue, regional dynamics are expected to play a pivotal role in shaping the future landscape of the global market.

This site provides free access to Iowa geographic map data through an on-line map viewer and through Web Map Service (WMS) connections for GIS. The site was developed by the Iowa State University Geographic Information Systems Support and Research Facility in cooperation with the Iowa Department of Natural Resources, the USDA Natural Resources Conservation Service, and the Massachusetts Institute of Technology. This site was first launched in March 1999. Resources in this dataset:Resource Title: Iowa Geographic Map Server. File Name: Web Page, url: http://ortho.gis.iastate.edu/#MapLayers Online access to Iowa geographic map data through an on-line map viewer and through Web Map Service (WMS) connections for GIS, as well as a full featured ArcGIS web app.

TIGERweb allows the viewing of TIGER spatial data online and for TIGER data to be streamed to your mapping application. TIGERweb consists of a web mapping service and a REST service. Thew web mapping service is an Open Geospatial Consortium (OGC) service that allows users to visualize our TIGER (Topologically Integrated Geographic Encoding and Referencing database) data. This service consists of two applications and eight services. The applications allow users to select features and view their attributes, to search for features by name or geocode, and to identify features by selecting them from a map. The TIGERweb applications are a simple way to view our TIGER data without having to download the data. The web Mapping services provide a simple HTTP interface for requesting geo-registered map images from our geospatial database. It allows users to produce maps containing TIGERweb layers with layers from other servers. TIGERweb consists of the following two applications and eight services: Applications: TIGERweb, TIGERweb Decennial Services: Current, ACS16, ACS15, ACS14, ACS13, Econ12, Census 2010 (for the TIGERweb application), Physical Features (for the TIGERweb application), Census 2010 (for the TIGERweb Decennial application), Census 2000 and Physical Features (for the TIGERweb Decennial application) The REST service is a way for Web clients to communicate with geographic information system (GIS) servers through Representational State Transfer (REST) technology. It allows users to interface with the REST server with structured URLs using a computer language like PYTHON or JAVA. The server responds with map images, text-based geographic information, or other resources that satisfy the request. There are three groups of services: TIGERweb, TIGERweb Generalized and TIGERweb Decennial. TIGERweb consists of boundaries as of January 1, 2016 while TIGERweb Decennial consists of boundaries as they were of January 1, 2010. TIGERweb Generalized is specifically designed for small-scale thematic mapping. The following REST services are offered for both groups: American Indian, Alaska Native, and Native Hawaiian Areas Census Regions and Divisions Census Tracts and Blocks Legislative Areas Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas Places and County Subdivisions PUMAs, UGAs and ZCTAs School Districts States and Counties Urban Areas The following services are only offered in TIGERweb and TIGERweb Decennial: Hydrography Labels Military and Other Special Land Use Areas Transportation (Roads and Railroads) Tribal Census Tracts and Block Groups The following services is only offered in TIGERweb Generalized: Places and County Subdivisions (Economic Places)

All of the ERS mapping applications, such as the Food Environment Atlas and the Food Access Research Atlas, use map services developed and hosted by ERS as the source for their map content. These map services are open and freely available for use outside of the ERS map applications. Developers can include ERS maps in applications through the use of the map service REST API, and desktop GIS users can use the maps by connecting to the map server directly.

This map service is a one-stop location to view and explore Kentucky geologic map data and related-data (geologic outcrops, photos, and diagrams), Kentucky water wells and springs, Kentucky oil and gas wells. All features are provided by the Kentucky Geological Survey via ArcGIS Server services. This map service displays the 1:500,000-scale geologic map of Kentucky at scales smaller than 1:100,000, and 1:24,000-scale geological quadrangle data at larger scales. The 1:500,000-scale geologic map data were derived from the 1988 Geologic Map of Kentucky, which was compiled by Martin C. Noger (KGS) from the 1981 Geologic Map of Kentucky (Scale 1:250,000) by McDowell and others (USGS). The 1:24,000-scale geologic map data and the fault data were compiled from 707 Geological Survey 7.5-minute geologic quadrangle maps, which were digitized during the Kentucky Geological Survey Digital Mapping Program (1996-2006).The basemap data is provided via ArcGIS Server services hosted by the Kentucky Office of Geographic Information.Some tools are provided to help explore the map data:- Query tool: use this tool to search on the KGS database of lithologic descriptions. Most descriptions are derived from the 707 1:24,000 geological quadrangle maps. Once a search is completed, every unit that contains the search parameters is highlighted on the map service.- ID tools: users can identify and get detailed info on geologic units and other map features using either the point, area, or buffer identification tools.A few notes on this service:- the legend is dynamic for the viewed extent. It is provided via a database call using the current map extent.- the oil and gas and water wells are ArcGIS Server services that update dynamically from the KGS database.- the geologic map and faults are dynamic ArcGIS Server map services.- the user can link to other geologic data for the viewed extent using the links provided in the "Geologic Info" tab.- you can query the entire KGS lithologic description database and highlight the relevant geologic units based on the query.

World framework data from Intergraph Corporation

Infrastructure Map Server - Web Map Service

Dataset generated for the "On server-side file access pattern matching" paper (Boito et al., HPCS 2019).

The traces were obtained following the methodology described in the paper. In addition to the two data sets discussed in the paper, we are also making available an extra data set of server traces.

Traces from I/O nodes

IOnode_traces/output/commands has the list of commands used to generate them. Each test is identified by a label, and the test_info.csv file contains the mapping of labels to access patterns. Some files include information about experiments with 8 I/O nodes, but these were removed from the data set because they had some errors.

IOnode_traces/output contains .map files that detail the mapping of clients to I/O nodes for each experiment, and .out files, which contain the output of the benchmark.

IOnode_traces/ contains one folder per experiment. Inside this folder, there is one folder per I/O node, and inside these folders there are tracefiles for the read and write portions of the experiments. Due to a mistake during the integration between IOFSL and AGIOS, read requests appear as "W", and writes as "R". Once accounted for when processing the traces, that has no impact on results.

pattern_length.csv contains the average pattern length for each experiment and operation (average number of requests per second), obtained with the get_pattern_length.py script.

Each line of a trace looks like this:

277004729325 00000000eaffffffffffff1f729db77200000000000000000000000000000000 W 0 262144

The first number is an internal timestamp in nanoseconds, the second value is the file handle, and the third is the type of the request (inverted, "W" for reads and "R" for writes). The last two numbers give the request offset and size in bytes, respectively.

Traces from parallel file sytem data servers

These traces are inside the server_traces/ folder. Each experiment has two concurrent applications, "app1" and "app2", and its traces are inside a folder named accordingly:

NOOP_app1_(identification of app1)_app2_(identification of app2)_(repetition)_pvfstrace/

Each application is identified by:

(contig/noncontig)_(number and size of requests per process)_(number of processes)_(number of client machines)_(nto1/nton regarding the number of files)

Inside each folder there are eight trace files, two per data server, one for the read portion and another for the write portion. Each line looks like this:

[D 02:54:58.386900] REQ SCHED SCHEDULING, handle: 5764607523034231596, queue_element: 0x2a11360, type: 0, offset: 458752, len: 32768

The part between [] is a timestamp, "handle" gives the file handle, "type" is 0 for reads and 1 for writes, "offset" and "len" (length) are in bytes.

server_traces/pattern_length.csv contains the average pattern length for each experiment and operation, obtained with the server_traces/count_pattern_length.py script.

Extra traces from data servers

These traces were not used for the paper because we do not have performance measurements for them with different scheduling policies, so it would not be possible to estimate the results of using the pattern matching approach to select scheduling policies. Still, we share them in the extra_server_traces/ folder in the hope they will be useful. They were obtained in the same experimental campaign than the other data server traces, and have the same format. The difference is that these traces are for single-application scenarios.

CREAF map server build based on MiraMon technology. Contact: contacte@miramon.uab.es. Maps produced by CREAF: Land cover, Forest Inventary points...

Projection Mapping Media Servers Market Outlook

According to our latest research, the Global Projection Mapping Media Servers market size was valued at $1.2 billion in 2024 and is projected to reach $3.8 billion by 2033, expanding at a robust CAGR of 13.7% during the forecast period from 2025 to 2033. The primary driver behind this impressive growth trajectory is the surging demand for immersive visual experiences across diverse sectors such as events, entertainment, advertising, and education. As organizations and venues increasingly seek to captivate audiences with dynamic, large-scale visual storytelling, the adoption of advanced projection mapping media servers is accelerating globally. The convergence of high-resolution projection technologies, real-time content rendering, and interactive media capabilities is further propelling market expansion, positioning projection mapping media servers as a critical component in next-generation audiovisual deployments.

Regional Outlook

North America currently commands the largest share of the global projection mapping media servers market, accounting for over 38% of total market value in 2024. This dominance is attributed to the region’s mature entertainment and events industry, early adoption of cutting-edge AV technologies, and strong presence of leading market players. The United States, in particular, is a hotbed for large-scale live events, concerts, and corporate showcases that increasingly rely on projection mapping to deliver stunning visual effects. Furthermore, favorable technology policies, strong investment in R&D, and a well-established distribution network have bolstered the proliferation of media servers across North America. The region's robust infrastructure, combined with a culture of innovation, ensures that North America remains at the forefront of global market developments.

The Asia Pacific region is projected to witness the fastest growth, with a remarkable CAGR of 16.2% between 2025 and 2033. This acceleration is driven by rapid urbanization, increasing disposable incomes, and burgeoning demand for high-impact visual experiences in countries such as China, Japan, South Korea, and India. Major investments in smart city projects, public installations, and large-scale entertainment venues are fueling the adoption of projection mapping solutions. Additionally, the proliferation of international events, expos, and festivals across Asia Pacific is creating lucrative opportunities for market participants. Government initiatives to modernize infrastructure and promote digital transformation further amplify the region’s appeal, making it a key growth engine for the global projection mapping media servers market.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing projection mapping media servers, albeit at a more measured pace due to infrastructural and budgetary constraints. In these regions, adoption is primarily concentrated in urban centers and among high-profile events or government-sponsored projects. Challenges such as limited technical expertise, high upfront costs, and fragmented supply chains can hinder widespread deployment. However, increasing exposure to international trends, growing tourism, and public sector investments in cultural and educational initiatives are opening new avenues for market penetration. Localized demand is also shaped by unique cultural and regulatory contexts, necessitating tailored solutions and strategic partnerships with regional stakeholders.

Report Scope

Today, a large fraction of Internet traffic is originated by Content Providers (CPs) such as content distribution networks and hypergiants. To cope with the increasing demand for content, CPs deploy massively distributed infrastructures. This poses new challenges for CPs as they have to dynamically map end-users to appropriate servers, without being fully aware of network conditions within an ISP as well as the end-users network locations. Furthermore, ISPs struggle to cope with rapid traffic shifts caused by the dynamic server selection process of CPs. In this paper, we argue that the challenges that CPs and ISPs face separately today can be turned into an opportunity. We show how they can jointly take advantage of the deployed distributed infrastructures to improve their operation and end-user performance. We propose Content-aware Traffic Engineering (CaTE), which dynamically adapts the traffic demand for content hosted on CPs by utilizing ISP network information and end-user location during the server selection process. As a result, CPs enhance their end-user to server mapping and improve end-user experience, thanks to the ability of network-informed server selection to circumvent network bottlenecks. In addition, ISPs gain the ability to partially influence the traffic demands in their networks. Our results with operational data show improvements in path length and delay between end-user and the assigned CP server, network wide traffic reduction of up to 15%, and a decrease in ISP link utilization of up to 40% when applying CaTE to traffic delivered by a small number of major CPs.

ESYS plc and the Department of Geomatic Engineering at University College London (UCL) have been funded by the British National Space Centre (BNSC) to develop a web GIS service to serve geographic data derived from remote sensing datasets. Funding was provided as part of the BNSC International Co-operation Programme 2 (ICP-2).

Particular aims of the project were to:

1. use Open Geospatial Consortium (OGC, recently renamed from the OpenGIS Consortium) technologies for map and data serving;

2. serve datasets for Europe and Africa, particularly Landsat TM and Shuttle Radar Topography Mission (SRTM) digital elevation model (DEM) data;

3. provide a website giving access to the served data;

4. provide software scripts, etc., and a document reporting the data processing and software set-up methods developed during the project.

ICEDS was inspired in particular by the Committee on Earth Observing Satellites (CEOS) CEOS Landsat and SRTM Project (CLASP) proposal. An express intention of ICEDS (aim 4 in the list above) was therefore that the solution developed by ESYS and UCL should be redistributable, for example, to other CEOS members. This was taken to mean not only software scripts but also the methods developed by the project team to prepare the data and set up the server. In order to be compatible with aim 4, it was also felt that the use of Open Source, or at least 'free-of-cost' software for the Web GIS serving was an essential component. After an initial survey of the Web GIS packages available at the time , the ICEDS team decided to use the Deegree package, a free software initiative founded by the GIS and Remote Sensing unit of the Department of Geography, University of Bonn , and lat/lon . However the Red Spider web mapping software suite was also provided by IONIC Software - this is a commercial web mapping package but was provided pro bono by IONIC for this project and has been used in parallel to investigate the possibilities and limitations opened up by using a commercial package.

http://iceds.ge.ucl.ac.uk/

The list of study sites, meteorological stations and locations of interest that are shown on the Bonanza Creek Long Term Ecological Research site (BNZ LTER) internet map server (IMS, available at http://www.lter.uaf.edu/ims_intro.cfm) is generated from the LTER study sites database. The information is converted into a shapefile and posted to the IMS. Some study sites shown on the main LTER website will not appear on the IMS because they do not have location coordinates. In all cases the most up-to-date information will be found on the (study sites website ).

The spatial information represented on the IMS is available to the public according to the restrictions outlined in the LTER data policy. The dataset represented here consists of the map layers shown on the IMS. The information consists of shapefiles in Environmental Systems Research Institute (ESRI) format. Users of this dataset should be aware that the contents are dynamic. Portions of the information shown on the IMS are derived from the Bonanza Creek LTER databank and are constantly being updated.

The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS.

This service delivers map layers associated with the eAtlas project (http://eatlas.org.au), which contains map layers of environmental research focusing on the Great Barrier Reef and its neighbouring coast, the Wet Tropics rainforests and Torres Strait. It also includes lots of reference datasets that provide context for the research data. These reference datasets are sourced mostly from state and federal agencies. In addition to this a number of reference basemaps and associated layers are developed as part of the eAtlas and these are made available through this service.

This services also delivers map layers associated with the Torres Strait eAtlas.

This web map service is predominantly set up and maintained for delivery of visualisations through the eAtlas mapping portal (http://maps.eatlas.org.au) and the Australian Ocean Data Network (AODN) portal (http://portal.aodn.org.au). Other portals are free to use this service with attribution, provided you inform us with an email so we can let you know of any changes to the service.

This WMS is implemented using GeoServer version 2.3 software hosted on a server at the Australian Institute of Marine Science. Associated with each WMS layer is a corresponding cached tiled service which is much faster then the WMS. Please use the cached version when possible.

The layers that are available can be discovered by inspecting the GetCapabilities document generated by the GeoServer. This XML document lists all the layers, their descriptions and available rendering styles. Most WMS clients should be able to read this document allowing easy access to all the layers from this service.

For ArcMap use the following steps to add this service: 1. "Add Data" then choose GIS Servers from the "Look in" drop down. 2. Click "Add WMS Server" then set the URL to "http://maps.eatlas.org.au/maps/wms?"

Note: this service has over 1000 layers and so retrieving the capabilities documents can take a while.

This services is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub.