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e-Business e-Science and the Grid

e-Business e-Science and the Grid. Geoffrey Fox Professor of Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 Chief Technologist for Anabas Corporation gcf@indiana.edu http://www.infomall.org http://www.grid2002.org.

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e-Business e-Science and the Grid

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  1. e-Business e-Science and the Grid Geoffrey FoxProfessor of Computer Science, Informatics, Physics Pervasive Technology Laboratories Indiana University Bloomington IN 47401 Chief Technologist for Anabas Corporation gcf@indiana.edu http://www.infomall.org http://www.grid2002.org

  2. Grid Computing: Making The Global Infrastructure a Reality • Based on work done in preparing book edited withFran Berman andAnthony J.G. Hey, • ISBN: 0-470-85319-0 • Hardcover 1080 Pages • Published March 2003 • http://www.grid2002.org

  3. e-Business e-Science and the Grid • e-Business captures an emerging view of corporations as dynamic virtual organizations linking employees, customers and stakeholders across the world. • The growing use of outsourcing is one example • e-Science is the similar vision for scientific research with international participation in large accelerators, satellites or distributed gene analyses. • The Grid integrates the best of the Web, traditional enterprise software, high performance computing and Peer-to-peer systems to provide the information technology infrastructure for e-moreorlessanything. • A deluge of data of unprecedented and inevitable size must be managed and understood. • People, computers, data and instruments must be linked. • On demand assignment of experts, computers, networks and storage resources must be supported

  4. So what is a Grid? • Supporting human decision making with a network of at least four large computers, perhaps six or eight small computers, and a great assortment of disc files and magnetic tape units - not to mention remote consoles and teletype stations - all churning away. (Licklider 1960) • Coordinated resource sharing and problem solving in dynamic multi-institutional virtual organizations • Infrastructure that will provide us with the ability to dynamically link together resources as an ensemble to support the execution of large-scale, resource-intensive, and distributed applications. • Realizing thirty year dream of science fiction writers that have spun yarns featuring worldwide networks of interconnected computers that behave as a single entity.

  5. e-Science • e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it. This is a major UK Program • e-Science reflects growing importance of international laboratories, satellites and sensors and their integrated analysis by distributed teams • CyberInfrastructure is the analogous US initiative Grid Technology supports e-Science andCyberInfrastructure

  6. Global Terabit Research Network • The Grid software and resources run on top of high performance global networks

  7. Program AComputer 1 Program ZComputer 26 Program AComputer 27 Program ZComputer 52 Spares PoolComputer 1 Program A PoolComputer N <52 Program Z Resources-on-demand • Computing-on-demand uses dynamically assigned (shared) pool of resources to support excess demand in flexible cost-effective fashion Static Assignment with redundancy Dynamic on-demand Assignment

  8. e-Business and (Virtual) Organizations • Enterprise Grid supports information system for an organization; includes “university computer center”, “(digital) library”, sales, marketing, manufacturing … • Outsourcing Grid links different parts of an enterprise together (Gridsourcing) • Manufacturing plants with designers • Animators with electronic game or film designers and producers • Coaches with aspiring players (e-NCAA or e-NFL etc.) • Customer Grid links businesses and their customers as in many web sites such as amazon.com • e-Multimedia can use secure peer-to-peer Grids to link creators, distributors and consumers of digital music, games and films respecting rights • Distance education Grid links teacher at one place, students all over the place, mentors and graders; shared curriculum, homework, live classes …

  9. e-Defense and e-Crisis • Grids support Command and Control and provide Global Situational Awareness • Link commanders and frontline troops to themselves and to archival and real-time data; link to what-if simulations • Dynamic heterogeneous wired and wireless networks • Security and fault tolerance essential • System of Systems; Grid of Grids • The command and information infrastructure of each ship is a Grid; each fleet is linked together by a Grid; the President is informed by and informs the national defense Grid • Grids must be heterogeneous and federated • Crisis Management and Response enabled by a Grid linking sensors, disaster managers, and first responders with decision support

  10. Some Important Classes of Grids • Computational Grids were origin of concepts and link computers across the globe – high latency stops this from being used as parallel machine • Knowledge and Information Grids link sensors and information repositories as in Virtual Observatories or BioInformatics • More detail on next slide • Education Grids link teachers, learners, parents as a VO with learning tools, distant lectures etc. • e-Science Grids link multidisciplinary researchers across laboratories and universities • Community Grids focus on Grids involving large numbers of peers rather than focusing on linking major resources – links Grid and Peer-to-peer network concepts • Semantic Grid links Grid, and AI community with Semantic web (ontology/meta-data enriched resources) and Agent concepts

  11. Information/Knowledge Grids • Distributed (10’s to 1000’s) of data sources (instruments, file systems, curated databases …) • Data Deluge: 1 (now) to 100’s petabytes/year (2012) • Moore’s law for Sensors • Possible filters assigned dynamically (on-demand) • Run image processing algorithm on telescope image • Run Gene sequencing algorithm on compiled data • Needs decision support front end with “what-if” simulations • Metadata (provenance) critical to annotate data • Integrate across experiments as in multi-wavelength astronomy Data Deluge comes from pixels/year available

  12. 2.4 Petabytes Today

  13. Database Database SERVOGrid – Solid Earth Research Virtual Observatory will link Australia, Japan, USA …… RepositoriesFederated Databases Sensor Nets Streaming Data Analysis and Visualization Loosely Coupled Filters Closely Coupled Compute Nodes

  14. DAME In flight data ~5000 engines ~ Gigabyte per aircraft per Engine per transatlantic flight Global Network Such as SITA Ground Station Airline Engine Health (Data) Center Maintenance Centre Internet, e-mail, pager Rolls Royce and UK e-Science ProgramDistributed Aircraft Maintenance Environment

  15. It takes a distributed virtual organization to design, simulate and build a complex system like an aircraft NASA Aerospace Engineering Grid

  16. Virtual Observatory Astronomy GridIntegrate Experiments Radio Far-Infrared Visible Dust Map Visible + X-ray Galaxy Density Map

  17. e-Chemistry LaboratoryExperiments-on-demand Grid-enabled Output Streams Grid Resources

  18. CERN LHC Data Analysis Grid

  19. Portal Services SystemServices SystemServices Application Service Middleware SystemServices SystemServices SystemServices Raw (HPC) Resources Database Typical Grid Architecture UserServices “Core”Grid

  20. SERVOGrid Requirements • Seamless Access to Data repositories and large scale computers • Integration of multiple data sources including sensors, databases, file systems with analysis system • Including filtered OGSA-DAI (Grid database access) • Rich meta-data generation and access with SERVOGrid specific Schema extending openGIS (Geography as a Web service) standards and using Semantic Grid • Portalswith component model for user interfaces and web control of all capabilities • Collaboration to support world-wide work • Basic Grid tools: workflow and notification

  21. Sources of Grid Technology • Grids support distributed collaboratories or virtual organizations integrating concepts from • The Web • Agents • Distributed Objects(CORBA Java/Jini COM) • Globus, Legion, Condor, NetSolve, Ninf and other High Performance Computing activities • Peer-to-peer Networks • With perhaps the Web and P2P networks being the most important for “Information Grids” and Globus for “Compute Grids”

  22. The Essence of Grid Technology? • We will start from the Web view and assert that basic paradigm is • Meta-data rich Web Services communicating via messages • These have some basic support from some runtime such as .NET, Jini (pure Java), Apache Tomcat+Axis (Web Service toolkit), Enterprise JavaBeans, WebSphere (IBM) or GT3 (Globus Toolkit 3) • These are the distributed equivalent of operating system functions as in UNIX Shell • Called Hosting Environment or platform • W3C standard WSDL defines IDL (Interface standard) for Web Services

  23. PortalService Security Catalog A typical Web Service • In principle, services can be in any language (Fortran .. Java .. Perl .. Python) and the interfaces can be method calls, Java RMI Messages, CGI Web invocations, totally compiled away (inlining) • The simplest implementations involve XML messages (SOAP) and programs written in net friendly languages like Java and Python PaymentCredit Card Web Services WSDL interfaces Warehouse Shipping control WSDL interfaces Web Services

  24. Services and Distributed Objects • A web service is a computer program running on either the local or remote machine with a set of well defined interfaces (ports) specified in XML (WSDL) • Web Services (WS) have many similarities with Distributed Object (DO) technology but there are some (important) technical and religious points (not easy to distinguish) • CORBA Java COM are typical DO technologies • Agents are typically SOA (Service Oriented Architecture) • Both involve distributed entities but Web Services are more loosely coupled • WS interact with messages; DO with RPC (Remote Procedure Call) • DO have “factories”; WS manage instances internally and interaction-specific state not exposed and hence need not be managed • DO have explicit state (statefull services); WS use context in the messages to link interactions (statefull interactions) • Claim: DO’s do NOT scale; WS build on experience (with CORBA) and do scale

  25. UDDI or WSIL WSFL WSDL SOAP or RMI HTTP or SMTP or IIOP or RMTP TCP/IP Physical Network Details of Web Service Protocol Stack • UDDIfinds where programs are • remote (distributed) programs are just Web Services • (not a great success) • WSFL links programs together(under revision as BPEL4WS) • WSDL defines interface (methods, parameters, data formats) • SOAPdefines structure of message including serialization of information • HTTP is negotiation/transport protocol • TCP/IPis layers 3-4 of OSI • Physical Network is layer 1 of OSI

  26. Education as a Web Service • “Learning Object” XML standards already exist • Web Services for virtual university include: • Registration • Performance (grading) • Authoring of Curriculum • Online laboratories for real and virtual instruments • Homework submission • Quizzesof various types (multiple choice, random parameters) • Assessment data access and analysis • Synchronous Delivery of Curricula including Audio/Video Conferencing and other synchronous collaborative tools as Web Services • Scheduling of courses and mentoring sessions • Asynchronous access, data-mining and knowledge discovery • Learning Plan agents to guide students and teachers

  27. Database Database Classic Grid Architecture Resources Content Access Composition Middle TierBrokers Service Providers Netsolve Security Collaboration Computing Middle Tier becomes Web Services Clients Users and Devices

  28. Some Observations • “Traditional “ Grids manage and share asynchronous resources in a rather centralized fashion • Peer-to-peer networks are “just like” Grids with different implementations of message-based services like registration and look-up • Collaboration systems like WebEx/Placeware (Application sharing) or Polycom (audio/video conferencing) can be viewed as Grids • Computers are fast and getting faster. One can afford many strategies that used to be unrealistic including rich usually XML based messaging • Web Services interact with messages • Everything (including applications like PowerPoint) will be a Web Service? • Grids, P2P Networks, Collaborative Environments are (will be) managed message-linked Web Services

  29. Database Database Event/MessageBrokers Event/MessageBrokers Event/MessageBrokers Peer to Peer Grid Peers Service FacingWeb Service Interfaces Peers User FacingWeb Service Interfaces A democratic organization Peer to Peer Grid

  30. System and Application Services? • There are generic Grid system services: security, collaboration, persistent storage, universal access • OGSA (Open Grid Service Architecture) is implementing these as extended Web Services • An Application Web Service is a capability used either by another service or by a user • It has input and output ports – data is from sensors or other services • Consider Satellite-based Sensor Operations as a Web Service • Satellite management (with a web front end) • Each tracking station is a service • Image Processing is a pipeline of filters – which can be grouped into different services • Data storage is an important system service • Big services built hierarchically from “basic” services • Portalsare the user (web browser) interfaces to Web services

  31. Satellite Science Grid Environment

  32. What is Happening? • Grid ideas are being developed in (at least) two communities • Web Service – W3C, OASIS • Grid Forum (High Performance Computing, e-Science) • Service Standards are being debated • Grid Operational Infrastructure is being deployed • Grid Architecture and core software being developed • Particular System Services are being developed “centrally” – OGSA framework for this in • Lots of fields are setting domain specific standards and building domain specific services • There is a lot of hype • Grids are viewed differently in different areas • Largely “computing-on-demand” in industry (IBM, Oracle, HP, Sun) • Largely distributed collaboratories in academia

  33. OGSA OGSI & Hosting Environments Not OGSA specific services Domain - More specialized services: data Possibly OGSA replication, workflow, etc., etc. Broadly applicable services: registry, OGSA Environment authorization, monitoring, data access, etc., etc. OGSI on Web Services Hosting Environment for WS Given to us from on high Network • Start with Web Services in a hosting environment • Add OGSI to get a Grid service and a component model • Add OGSA to get Interoperable Grid “correcting” differences in base platform and adding key functionalities

  34. Technical Activities of Note • Look at different styles of Grids such as Autonomic (Robust Reliable Resilient) • New Grid architectures hard due to investment required • Critical Services Such as • Security – build message based not connection based • Notification – event services • Metadata – Use Semantic Web, provenance • Databases and repositories – instruments, sensors • Computing – Submit job, scheduling, distributed file systems • Visualization, Computational Steering • Fabric and Service Management • Network performance • Program the Grid – Workflow • Access the Grid – Portals, Grid Computing Environments

  35. Issues and Types of Grid Services 1) Types of Grid R3 Lightweight P2P Federation and Interoperability 2) Core Infrastructure and Hosting Environment Service Management Component Model Service wrapper/Invocation Messaging 3) Security Services Certificate Authority Authentication Authorization Policy 4) Workflow Services and Programming Model Enactment Engines (Runtime) Languages and Programming Compiler Composition/Development 5) Notification Services 6) Metadata and Information Services Basic including Registry Semantically rich Services and meta-data Information Aggregation (events) Provenance 7) Information Grid Services OGSA-DAI/DAIT Integration with compute resources P2P and database models 8) Compute/File Grid Services Job Submission Job Planning Scheduling Management Access to Remote Files, Storage and Computers Replica (cache) Management Virtual Data Parallel Computing 9) Other services including Grid Shell Accounting Fabric Management Visualization Data-mining and Computational Steering Collaboration 10) Portals and Problem Solving Environments 11) Network Services Performance Reservation Operations

  36. Remote Grid Service Remote Grid Service 1: Plan Execution 4: Job Submittal Data Data 10: Job Status 1: Job Management Service (Grid Service Interface to user or program client) 2: Schedule and control Execution 8: VirtualData 3: Access to Remote Computers 6: File and Storage Access 7: CacheDataReplicas 5: Data Transfer Technology Components of (Services in)a Computing Grid 9: Grid MPI

  37. Conclusions • Grids are inevitable and pervasive • Can expect Web Services and Grids to merge with a common set of general principles but different implementations with different scaling and functionality trade-offs • Enough is known that one can start today • We will be flooded with data, information and purported knowledge • One should be preparing Grid strategies; understanding relevant Web and Grid standards and developing new domain specific standards • Note many existing (standards) efforts assume client-server and not a brokered service model; these will need to change!

  38. Grid Computing: Making The Global Infrastructure a Reality • Fran Berman, Anthony J.G. Hey, Geoffrey Fox • ISBN: 0-470-85319-0 • Hardcover 1080 Pages • Published March 2003 • http://www.grid2002.org

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