InGeoCloudS: open Cloud-based services for Geospatial Data management in an INSPIRE context
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1 InGeoCloudS: open Cloud-based services for Geospatial Data management in an INSPIRE context Benoit BAURENS, InGeocloudS Project Coordinator
2 OUTLINE Introducing words Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What s next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
3 OUTLINE Introducing words Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What s next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
4 Introducing words Benoit BAURENS, Project Manager and InGeocloudS Project Coordinator representing the whole InGeoCloudS Team!! InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
5 Our expertise a global offer InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
6 Our services -flexible and tailored to your needs Experts on demand Reactivity, flexibility Our experts support you on location through A deep understanding of each business sectors A strong master of existing and coming technologies A concrete ability to create innovation Engineering Expertise, know-how Our team support you on your work-packages and tailored turnkey solutions through our Mechanical design centers Systems design centers Software design centers Nearshore/offshore facilities Consulting Result & implementation oriented Our services enable you to sustainably optimize the entire value chain through our entities Casciope MBtech Consulting InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
7 A strong international foothold InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
8 OUTLINE Introducing words Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What s next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
9 Why InGeoCloudS? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
10 About INSPIRE Data quantity and quality Visibility, accessibility and sharing. InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
11 About INSPIRE In order to ensure that the spatial data infrastructures of the Member States are compatible and usable in a Community and transboundary context, InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
12 About INSPIRE InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
13 Why InGeoCloudS? InGeoCloudSservices intend to support data providers in fulfilling their obligations with regards to INSPIRE. InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
14 About Cloud Computing Towards perfect capacity management? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
15 About Cloud Computing Towards perfect capacity management? App App App Operating System Hardware Traditional Stack InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
16 About Cloud Computing Towards perfect capacity management? App App App Hardware Operating App System Operating App App App System App App Operating App System App App Traditional App Hardware App Operating Stack App System Hardware Operating App System App App Hardware Operating App System App App Operating Traditional App System Hardware App Traditional Stack App Hardware Operating Stack System Traditional Hardware Operating Stack System Hardware Operating Traditional App System App Traditional Stack App Hardware Stack Traditional Stack Hardware Traditional Stack App App App Operating App System App App App App App Traditional Hardware Operating Stack System Traditional Stack Traditional Stack Hardware Traditional Stack App App App Operating App System App App Hardware Operating App System App App Traditional Hardware Operating Stack System Traditional Stack Hardware Traditional Stack App App App Operating System Hardware Traditional Stack InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
17 About Cloud Computing Towards perfect capacity management? App App App Hardware Operating App System Operating App App App System App App Operating App System App App Traditional App Hardware App Operating Stack App System Hardware Operating App System App App Hardware Operating App System App App Operating Traditional App System Hardware App Traditional Stack App Hardware Operating Stack System Traditional Hardware Operating Stack System Hardware Operating Traditional App System App Traditional Stack App Hardware Stack Traditional Stack Hardware Traditional Stack App App App Operating App System App App App App App Traditional Hardware Operating Stack System Traditional Stack Traditional Stack Hardware Traditional Stack App App App Operating App System App App Hardware Operating App System App App Traditional Hardware Operating Stack System Traditional Stack Hardware Traditional Stack App App App Operating System Hardware Traditional Stack InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
18 About Cloud Computing Towards perfect capacity management? Starting costs can remain reasonable Adaptive capacity: scaling-down is as important as scaling-up InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
19 Cloud Computing Whatare wetalkingabout? Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. (NIST) InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
20 Cloud Computing What are we talking about? Cloud computing comes from the convergence of: service oriented architectures... loose coupling of services with operating systems and technologies... parallel computing large scale data analysis, up to thousands of machines virtualization independence from physical hardware App App App OS OS Hypervisor OS Hardware Virtualized Stack InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
21 Cloud Computing Expected Cost Reductions Pay-as-you-go: Operations Costs versus Infrastructure Costs Reduced Total Cost of Ownership Technical staff, power supply, physical space hardware, cables, Scale economy among partners Share of Databases, servers, CPUs, InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
22 Cloud Computing Expected Cost Reductions An example of an Amazon EC2 instance: Large Instance: 7.5 GB of memory, 4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units each), 850 GB of local instance storage per hour Data Transfers IN Data Transfers OUT: 1 GB free, per GB Elastic Block Store: GB/month per Mi. I/O req.s (May2012) You can define rules to rent new machines as needed automatically! InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
23 Cloud Computing Not onlyabout money A cloud platform shall also provide Large computing power with ad-hoc machines and network Various up-to-date Operating Systems and technologies Ubiquitous access and Quality of Service having the data all in one place shall: Improve interoperability Foster successful collaborations Ease the adoption of international standards Open the door to inter-disciplinary studies InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
24 Why InGeoCloudS The project wants to demonstrate that a Cloud infrastructure can be used by public organisations to provide more efficient, scalable and flexible services for creating, sharing and disseminating spatial environmental data InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
25 OUTLINE Introducingwords Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What s next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
26 Partnership Profile 5 Geological Surveys bringing in 6 initial Use Cases (datasets and applications) Ground Water Management Geo-Hazards GeoData Publication and Mapping EC Support 3 ICT organizations bringing key-expertise Cloud Computing Semantic Web and Linked Data GIS Software architecture and integration InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
27 Key Dates Feb 2012 March 2013 Sept July 2014 InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
28 OUTLINE Introducingwords Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
29 Pilot1 Achievements Fundamental scalable services for data management: Elastic Database Server and Elastic File Server Data publication modules Linked Open Data facilities An API: Web Services upon a REST-based architecture Data providers data and applications in the cloud InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
30 Pilot1 Achievements InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
31 OUTLINE Introducingwords Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What s next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
32 How? Our Components Requirements The Basics Apache and Tomcat, MapServer, PostgreSQL+PostGIS, Linux OS, Web Server Map Server Spatial Data Storage Operating System Geo-Spatial Stack What else? GeoNetwork Portal + Data Access/Search + Services definition Framework (Sitools2) Triplestore and SPARQL endpoint (Virtuoso) Generalized REST Architecture for all InGeoCloudS components InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
33 How? The Architecture InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
34 How? Focus GlusterFS at work Transparent access for applications Similar to NFS. Automatic set-up on IGC instances. InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
35 How? Focus on Elastic DataBase Server PostgreSQL (+PostGIS) PgPool Load balancer Master/Slave architecture Streaming replication Scalability Parallel read operations Can add/suppress servers as needed at any time. Reliability Automatic fail-over A slave replaces the Master InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
36 How? Focus on Data Publication Component Transforming geo-data into geo-services HTTP API OGC:WMS OGC:WFS HTTP load balancer Data publication API Mapserver Server Mapserver Server Mapserver Server ELASTIC GEOSPATIAL SERVER CLUSTER ElasticFS and DB Cloud infrastructure InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
37 How? Some lessons Learnt so far. Identify a common software stack Homogeneous infrastructure Scale economies Cloud compliance Define data volumes requirements Capacity planning Scalability challenges and requirements High-throughput services Reliability Guarantee QoS for INSPIRE/OGC services Web Server Map Server Spatial Data Storage Operating System Geo-Spatial Stack It is not simply about portingexisting applications to the cloud, but rather to integratethem in a scalable geo-spatial framework InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
38 How? Some lessons Learnt so far. Focus GlusterFS at work 800 GlusterFS - write GlusteFS - read Throughput (MB/s) Number of Servers InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
39 How? Some lessons Learnt so far. Elastic Web Server at work Issued Requests System Load No. Servers Load Threshold Requests/ min servers 4 servers Average CPU Utilization servers 20 1 server Time 0 InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
40 How? Volumes so far Estimated Data volumes and Throughput Web Req/s: BRGM: 9 (avg) to 1300 (max) Transfer volume GB/month: EPPO 6 -> BRGM 1275 Data volume GB: EKBAA 2 -> BRGM 380 Growth rate GB/year: GEUS 0.2 -> BRGM 50 Required CPUs: GEOZS 2 -> BRGM 29 QoSand Resilience of information: Shake-maps available in case of earthquake Largerequest volume in presence of specific event (e.g., water pollution) InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
41 OUTLINE Introducingwords Why InGeoClouds? InGeoCloudS ID-card What does it feature? How? What s next? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
42 What s next? Excerpt of current Work IGC Management and Administration High level management and monitoring Including billing and accounting Preserving data-providers ownership and responsibility with own workspace (not a central portal) InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
43 What s next? Open trials : Pilot2 More Datasets expected External institutions (you are) invited to use and try the platform External data providers (you) to push their data in InGeoCloudS More Linked Data Opensearch Sample applications for cross-domains correlation of data Larget set of services Built-in Geoprocessing tools Your services? InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
44 Thanks for your attention Thanksfor yourattention and do not hesitateto jointhe adventure! InGeoCloudS, GIC Open BRGM, Orléans, June 3rd
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