{"product_id":"distributed-data-management-for-grid-computing-hardback-9780471687191","title":"Distributed Data Management for Grid Computing (Hardback) 9780471687191","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDistributed Data Management for Grid Computing\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eMichael Di Stefano (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471687191, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 29 July 2005\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e312 pages, Drawings: 25 B\u0026amp;W, 0 Color\u003cbr\u003e24.3 x 16.1 x 1.9 cm, 0.549 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"This is the most complete book I've read to date on the subject, and the lack of technical expertise requirements make it a fair choice for a wide audience.\" (\u003ci\u003eIEEE Distributed Systems Online\u003c\/i\u003e, January 2006)\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eDiscover grid computing-how to successfully build, implement, and manage widely distributed computing architecture\u003cbr\u003e \u003cbr\u003e With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar.\u003cbr\u003e \u003cbr\u003e Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including:\u003cbr\u003e * Why businesses should adopt grid computing\u003cbr\u003e * How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives\u003cbr\u003e * How to maximize the value of existing IT investments\u003cbr\u003e \u003cbr\u003e The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eForeword.  \u003cp\u003ePreface.\u003c\/p\u003e \u003cp\u003eAcknowledgements.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I: AN OVERVIEW OF GRID COMPUTING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1. What is Grid Computing?\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Basics of Grid Computing.\u003c\/p\u003e \u003cp\u003eLeveling the Playing Field of Buzzword Mania.\u003c\/p\u003e \u003cp\u003eParadigm Shift.\u003c\/p\u003e \u003cp\u003eBeyond Client\/Server.\u003c\/p\u003e \u003cp\u003eNew Topology.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2. Why Are Businesses Looking at Grid Computing?\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHistory Repeats Itself.\u003c\/p\u003e \u003cp\u003eEarly Needs.\u003c\/p\u003e \u003cp\u003eArtists and Engineers.\u003c\/p\u003e \u003cp\u003eThe Whys and Wherefores of Grid.\u003c\/p\u003e \u003cp\u003eFinancial Factors.\u003c\/p\u003e \u003cp\u003eBusiness Drivers.\u003c\/p\u003e \u003cp\u003eTechnology's Role.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3. Service-Oriented Architectures.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is Service-Oriented Architecture (SOA)?\u003c\/p\u003e \u003cp\u003eDriving Forces Behind SOA.\u003c\/p\u003e \u003cp\u003eMaturing Technology.\u003c\/p\u003e \u003cp\u003eBusiness.\u003c\/p\u003e \u003cp\u003eWorld Events.\u003c\/p\u003e \u003cp\u003eEnter Basic Supply and Demand Economics.\u003c\/p\u003e \u003cp\u003eFundamental Shift in Computing.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4. Parallel Grid Planes.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUsing Art to Describe Life: Grid is the Borg.\u003c\/p\u003e \u003cp\u003eGrid Planes.\u003c\/p\u003e \u003cp\u003eCompute Grids.\u003c\/p\u003e \u003cp\u003eData Grids.\u003c\/p\u003e \u003cp\u003eCompute and Data Grid - Parallel Planes.\u003c\/p\u003e \u003cp\u003eTrue Grid Must Include Data Management.\u003c\/p\u003e \u003cp\u003eBasic Data Management Requirements.\u003c\/p\u003e \u003cp\u003eEvolving the Data Grid.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II: DATA MANAGEMENT IN GRID COMPUTING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5. Scaling in the Grid Topology.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEvolution in Data Management.\u003c\/p\u003e \u003cp\u003eClient\/Server Evolution.\u003c\/p\u003e \u003cp\u003eGrid Evolution.\u003c\/p\u003e \u003cp\u003eDifferent Implementations of a Data Grid.\u003c\/p\u003e \u003cp\u003eLevel Zero Data Grids.\u003c\/p\u003e \u003cp\u003eFTP in Grid.\u003c\/p\u003e \u003cp\u003eDistributed Filing Systems.\u003c\/p\u003e \u003cp\u003eFaster Servers.\u003c\/p\u003e \u003cp\u003eMetaData Hubs and Distributed Data Integration.\u003c\/p\u003e \u003cp\u003eLevel 1 Data Grids.\u003c\/p\u003e \u003cp\u003eFoundations.\u003c\/p\u003e \u003cp\u003eCase Study: Integrasoft Grid Fabric (IGF).\u003c\/p\u003e \u003cp\u003eApplication Characteristics for Grid.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6. Traditional Data Management..\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData Management.\u003c\/p\u003e \u003cp\u003eHistory.\u003c\/p\u003e \u003cp\u003eFeatures.\u003c\/p\u003e \u003cp\u003eKey for Usability.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7. Relational Data Management as a Baseline for Understanding Data Grid.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEvolution of the Relational Model.\u003c\/p\u003e \u003cp\u003eParallels to Data Management in Grid.\u003c\/p\u003e \u003cp\u003eAnalysis of the Functional Tiers.\u003c\/p\u003e \u003cp\u003eEngines Determine the Type of Data Grid.\u003c\/p\u003e \u003cp\u003eData Management Features.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8. Foundation of Comparing Data Grids.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCore Engine Determines Performance and Flexibility.\u003c\/p\u003e \u003cp\u003eReplicated vs. Distributed.\u003c\/p\u003e \u003cp\u003eCentralized vs. Peer-to-Peer Synchronization.\u003c\/p\u003e \u003cp\u003eAccess to the Data Grid.\u003c\/p\u003e \u003cp\u003eSupport for Traditional Data Management Features.\u003c\/p\u003e \u003cp\u003eSupport for Data Management Features Specific to Grid.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9. Data Regionalization.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat are Data Regions?\u003c\/p\u003e \u003cp\u003eData Regions in Traditional Terms.\u003c\/p\u003e \u003cp\u003eData Management in a Data Grid.\u003c\/p\u003e \u003cp\u003eData Distribution Policy.\u003c\/p\u003e \u003cp\u003eData Distribution Policy Expression.\u003c\/p\u003e \u003cp\u003eData Replication Policy.\u003c\/p\u003e \u003cp\u003eData Replication Policy Expression.\u003c\/p\u003e \u003cp\u003eSynchronization Policy.\u003c\/p\u003e \u003cp\u003eLoad and Store Policy.\u003c\/p\u003e \u003cp\u003eData Load Policy Expression.\u003c\/p\u003e \u003cp\u003eData Store Policy Expression.\u003c\/p\u003e \u003cp\u003eEvent Notification Policy.\u003c\/p\u003e \u003cp\u003eEvent Notification Policy Expression.\u003c\/p\u003e \u003cp\u003eQuality of Service (QoS) Levels.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10. Data Synchronization.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntra-Region Synchronization.\u003c\/p\u003e \u003cp\u003eInter-Region Synchronization.\u003c\/p\u003e \u003cp\u003eSynchronization Architectures.\u003c\/p\u003e \u003cp\u003eCentralized Synchronization Manager.\u003c\/p\u003e \u003cp\u003ePeer-to-Peer Synchronization.\u003c\/p\u003e \u003cp\u003eSynchronization Patterns.\u003c\/p\u003e \u003cp\u003eSynchronization Granularity.\u003c\/p\u003e \u003cp\u003eSynchronization Policy Expression.\u003c\/p\u003e \u003cp\u003eSynchronization Pattern Simulations.\u003c\/p\u003e \u003cp\u003eSynchronization Policy as a Standard Interface.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11. Data Integration.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEnterprise Application\/Information Integration in Grid.\u003c\/p\u003e \u003cp\u003eSTP, EAI, and EII.\u003c\/p\u003e \u003cp\u003eEII in Grid.\u003c\/p\u003e \u003cp\u003eNatural Separation of Process and Data.\u003c\/p\u003e \u003cp\u003eData Load Policy.\u003c\/p\u003e \u003cp\u003eData Store Policy.\u003c\/p\u003e \u003cp\u003eLoad, Store, and Synchronization.\u003c\/p\u003e \u003cp\u003eEnterprise Data Grid Integration.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12. Data Affinity.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eA Measurable Quantity.\u003c\/p\u003e \u003cp\u003eWhat to Expect from Data Affinity.\u003c\/p\u003e \u003cp\u003eHow to Achieve Data Affinity.\u003c\/p\u003e \u003cp\u003eRegionalization, Synchronization, Distribution and Data Affinity.\u003c\/p\u003e \u003cp\u003eData Distribution is Key to Data Affinity.\u003c\/p\u003e \u003cp\u003eData Affinity and Task Routing.\u003c\/p\u003e \u003cp\u003eIntegration of Compute and Data Grids.\u003c\/p\u003e \u003cp\u003eExamples.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III: PRACTICAL APPLICATIONS OF GRID COMPUTING.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13. Which Applications are Good Candidates for the Grid.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGrid Enabling Application Chrematistics.\u003c\/p\u003e \u003cp\u003eGrid'able Applications.\u003c\/p\u003e \u003cp\u003eUse Case Presentations.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14. Calculation Intensive Applications.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDescription.\u003c\/p\u003e \u003cp\u003eUse Cases.\u003c\/p\u003e \u003cp\u003eGeneral Architecture.\u003c\/p\u003e \u003cp\u003eData Grid Analysis.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15. Data Mining, Data Warehouses.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDescription.\u003c\/p\u003e \u003cp\u003eUse Cases.\u003c\/p\u003e \u003cp\u003eGeneral Architecture.\u003c\/p\u003e \u003cp\u003eData Grid Analysis.\u003c\/p\u003e \u003cp\u003eBenefits and Data Grid Specifics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16. Geographic Boundary Problems.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDescription.\u003c\/p\u003e \u003cp\u003eBusiness Use Cases.\u003c\/p\u003e \u003cp\u003eGeneral Architecture.\u003c\/p\u003e \u003cp\u003eData Grid Analysis.\u003c\/p\u003e \u003cp\u003eBenefits and Data Grid Specifics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17. Command and Control.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eProblem Description.\u003c\/p\u003e \u003cp\u003eSolution Architecture.\u003c\/p\u003e \u003cp\u003eData Grid Analysis.\u003c\/p\u003e \u003cp\u003eApplication Spin Offs.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18. Web Services's Role in the SOA\/SONA Evolution.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDefinition of Web Services.\u003c\/p\u003e \u003cp\u003eDescription.\u003c\/p\u003e \u003cp\u003eData Management: The Key Stone to Web Services.\u003c\/p\u003e \u003cp\u003eWeb Services, Grid Infrastructures, and SONA.\u003c\/p\u003e \u003cp\u003eThe Undiscovered Past.\u003c\/p\u003e \u003cp\u003eThe SONA Model.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19. The Compute Utility.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview.\u003c\/p\u003e \u003cp\u003eArchitecture.\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV: REFERENCE MATERIAL.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20. Language Interface.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eProgrammatic.\u003c\/p\u003e \u003cp\u003eQuery Based.\u003c\/p\u003e \u003cp\u003eXML Based.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21. Basic Programming Examples.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eHello World Example.\u003c\/p\u003e \u003cp\u003eCoarse Granularity.\u003c\/p\u003e \u003cp\u003eCoarse Data Atom.\u003c\/p\u003e \u003cp\u003eWriter Program.\u003c\/p\u003e \u003cp\u003eReader Program.\u003c\/p\u003e \u003cp\u003eFine Granularity Example.\u003c\/p\u003e \u003cp\u003eWriter Program.\u003c\/p\u003e \u003cp\u003eReader Program.\u003c\/p\u003e \u003cp\u003eRandom Number Surface Example.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22. Additional Reading.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eUseful Information Sources.\u003c\/p\u003e \u003cp\u003eWhite Papers.\u003c\/p\u003e \u003cp\u003eGrid.\u003c\/p\u003e \u003cp\u003eGridFTP.\u003c\/p\u003e \u003cp\u003eDistributed File Systems.\u003c\/p\u003e \u003cp\u003eStandards Bodies.\u003c\/p\u003e \u003cp\u003eGlobus - Data Grid.\u003c\/p\u003e \u003cp\u003eGlobal Grid Forum.\u003c\/p\u003e \u003cp\u003eW3C.\u003c\/p\u003e \u003cp\u003ePublic and University Grid Efforts.\u003c\/p\u003e \u003cp\u003eScientific Research Use of Grid.\u003c\/p\u003e \u003cp\u003eWeb Services.\u003c\/p\u003e \u003cp\u003eDistributed Computing.\u003c\/p\u003e \u003cp\u003eCompute Utility.\u003c\/p\u003e \u003cp\u003eService Oriented Architectures.\u003c\/p\u003e \u003cp\u003eData Affinity.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23. White Paper: Natural Attraction Forces of Data Bodies within a Data Grid to Describe Efficient Data Distribution Patterns.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction.\u003c\/p\u003e \u003cp\u003eObservation.\u003c\/p\u003e \u003cp\u003eHypothesis.\u003c\/p\u003e \u003cp\u003eLaws of Attraction.\u003c\/p\u003e \u003cp\u003eHow does this fit in with Data Distribution Patterns of Single Data Bodies within a Data Grid Fabric?\u003c\/p\u003e \u003cp\u003eCollision of Single Data Bodies.\u003c\/p\u003e \u003cp\u003eThe Effects of the Data Grid on Single Data Body.\u003c\/p\u003e \u003cp\u003eConclusions.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24. Glossary of Terms.\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eReferences.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Interscience","offers":[{"title":"Brand New","offer_id":52298035101976,"sku":"9780471687191","price":101.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471687191.jpg?v=1781731889","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/distributed-data-management-for-grid-computing-hardback-9780471687191","provider":"Freshly Printed Books","version":"1.0","type":"link"}