IBM WebSphere eXtreme Scale 6 :: build scalable, high-performance software with IBM's data grid /
Annotation
Gespeichert in:
1. Verfasser: | |
---|---|
Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK :
Packt Pub.,
2009.
|
Schriftenreihe: | From technologies to solutions.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Annotation |
Beschreibung: | Title from title screen. Includes index. |
Beschreibung: | 1 online resource (iv, 276 pages) : illustrations |
ISBN: | 9781847197450 1847197450 9786612397233 6612397233 1282397230 9781282397231 |
Internformat
MARC
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100 | 1 | |a Chaves, Anthony. | |
245 | 1 | 0 | |a IBM WebSphere eXtreme Scale 6 : |b build scalable, high-performance software with IBM's data grid / |c Anthony Chaves ; reviewers, Billy Newport, Jeremiah Small. |
260 | |a Birmingham, UK : |b Packt Pub., |c 2009. | ||
300 | |a 1 online resource (iv, 276 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a data file |2 rda | ||
490 | 1 | |a From technologies to solutions | |
500 | |a Title from title screen. | ||
500 | |a Includes index. | ||
520 | 8 | |a Annotation |b A data grid is a means of combining computing resources. Data grids provide a way to distribute object storage and add capacity on demand in the form of CPU, memory, and network resources from additional servers. All three resource types play an important role in how fast data can be processed, and how much data can be processed at once. WebSphere eXtreme Scale provides a solution to scalability issues through caching and grid technology. Working with a data grid requires new approaches to writing highly scalable software; this book covers both the practical eXtreme Scale libraries and design patterns that will help you build scalable software.<br /><br />Starting with a blank slate, this book assumes you don't have experience with IBM WebSphere eXtreme Scale. It is a tutorial-style guide detailing the installation of WebSphere eXtreme Scale right through to using the developer libraries. It covers installation and configuration, and discusses the reasons why a data grid is a viable middleware layer. It also covers many different ways of interacting with objects in eXtreme Scale. It will also show you how to use eXtreme Scale in new projects, and integrate it with relational databases and existing applications.<br /><br />This book covers the ObjectMap, Entity, and Query APIs for interacting with objects in the grid. It shows client/server configurations and interactions, as well as the powerful DataGrid API. DataGrid allows us to send code into the grid, which can be run where the data lives. Equally important are the design patterns that go alongside using a data grid. This book covers the major concepts you need to know that prevent your client application from becoming a performance bottleneck. By the end of the book, you'll be able to write software using the eXtreme Scale APIs, and take advantage of a linearly scalable middleware layer. | |
505 | 0 | |a Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: What is a Data Grid; Data grid basics; Getting IBM WebSphere eXtreme Scale; Setting up your environment; Hello, world!; Summary; Chapter 2: The ObjectMap API; Different kinds of maps; Get and put; Updating objects in the grid; Lock strategies; Lock types; Hash map refresher (or crash course); Optimistic collisions; Deadlocks; Removing objects; FIFO queues; Unsupported methods; Wrapping up; Summary; Chapter 3: Entities and Queries; Entities; Defining Entities; Persisting Entities | |
505 | 8 | |a Composition versus InheritanceThe Find methods; Entity life-cycle states; Merge, remove, and the detached state; Entity relationships; @OneToMany, @ManyToOne; schemaRoot; The Query API; Joins and aggregate functions; IDs and Indexes; Summary; Chapter 4: Database Integration; You're going where?; Where does an IMDG fit?; JPALoader and JPAEntityLoader; The Loader's job; Performance and referential integrity; Removal versus eviction; Write-through and write-behind; BackingMap and Loader; Picking battles; JPALoader; Summary; Chapter 5: Handling Increased Load; The building blocks | |
505 | 8 | |a Shards and partitionsClient/Server ObjectGrid; A basic deployment; Starting a container; Connecting to a distributed grid; Adding more containers; Partition placement; Capacity planning; Hitting the wall; Summary; Chapter 6: Keeping Data Available; Containers, shards, partitions, and replicas; The foundation; Shards; Map sets; Partitions; Replication; Shard placement; Shard start-up; Lost shards and failover; Physical location; Controlled data separation; Preferred zones; Summary; Chapter 7: The DataGrid API; What does DataGrid do for me?; Borrowing from functional programming | |
505 | 8 | |a GridAgent and EntityGridAgent with an unknown key set; Aggregate results; Using ephemeral objects in agents; Updates with agents; Scheduling agents; Summary; Chapter 8: Data Grid Patterns; XTP: Extreme Transaction Processing; The data model; Schema root; Reference data and object duplication; How do we duplicate objects?; Time-to-live keeps us out of trouble; Early eviction; Rely on partitions, not the entire grid; One transaction, one node; Object schema denormalization; Summary; Chapter 9: Spring Integration; Injecting ObjectGrid instances; Spring-managed eXtreme Scale configuration | |
505 | 8 | |a Transaction managementBasic configuration; ObjectGrid client configuration; Remembering our patterns; Summary; Chapter 10: Putting it all together; The bookmarks app; The data model; The service layer; Storing data how it is used; Grid/ORM hybrid; Preloading data; Improving responsiveness; Caching more than ORM; Summary; Index | |
546 | |a English. | ||
630 | 0 | 0 | |a WebSphere. |0 http://id.loc.gov/authorities/names/n2001002465 |
630 | 0 | 7 | |a WebSphere. |2 blmlsh |
630 | 0 | 7 | |a WebSphere |2 fast |
650 | 0 | |a Computational grids (Computer systems) |0 http://id.loc.gov/authorities/subjects/sh98004531 | |
650 | 0 | |a Application software |x Development. |0 http://id.loc.gov/authorities/subjects/sh95009362 | |
650 | 6 | |a Grilles informatiques. | |
650 | 6 | |a Logiciels d'application |x Développement. | |
650 | 7 | |a COMPUTERS |x Client-Server Computing. |2 bisacsh | |
650 | 7 | |a Computational grids (Computer systems) |2 blmlsh | |
650 | 7 | |a Application software |x Development. |2 blmlsh | |
650 | 7 | |a Application software |x Development |2 fast | |
650 | 7 | |a Computational grids (Computer systems) |2 fast | |
700 | 1 | |a Newport, Billy. |4 rev | |
700 | 1 | |a Small, Jeremiah. |4 rev | |
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776 | 0 | 8 | |i Print version: Chaves, Anthony. |t IBM WebSphere eXtreme Scale 6. |d Birmingham, UK : Packt Publishing Ltd., 2009 |z 9781847197443 |w (OCoLC)556514891 |
830 | 0 | |a From technologies to solutions. |0 http://id.loc.gov/authorities/names/no2008038412 | |
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author | Chaves, Anthony |
author2 | Newport, Billy Small, Jeremiah |
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author_facet | Chaves, Anthony Newport, Billy Small, Jeremiah |
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contents | Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: What is a Data Grid; Data grid basics; Getting IBM WebSphere eXtreme Scale; Setting up your environment; Hello, world!; Summary; Chapter 2: The ObjectMap API; Different kinds of maps; Get and put; Updating objects in the grid; Lock strategies; Lock types; Hash map refresher (or crash course); Optimistic collisions; Deadlocks; Removing objects; FIFO queues; Unsupported methods; Wrapping up; Summary; Chapter 3: Entities and Queries; Entities; Defining Entities; Persisting Entities Composition versus InheritanceThe Find methods; Entity life-cycle states; Merge, remove, and the detached state; Entity relationships; @OneToMany, @ManyToOne; schemaRoot; The Query API; Joins and aggregate functions; IDs and Indexes; Summary; Chapter 4: Database Integration; You're going where?; Where does an IMDG fit?; JPALoader and JPAEntityLoader; The Loader's job; Performance and referential integrity; Removal versus eviction; Write-through and write-behind; BackingMap and Loader; Picking battles; JPALoader; Summary; Chapter 5: Handling Increased Load; The building blocks Shards and partitionsClient/Server ObjectGrid; A basic deployment; Starting a container; Connecting to a distributed grid; Adding more containers; Partition placement; Capacity planning; Hitting the wall; Summary; Chapter 6: Keeping Data Available; Containers, shards, partitions, and replicas; The foundation; Shards; Map sets; Partitions; Replication; Shard placement; Shard start-up; Lost shards and failover; Physical location; Controlled data separation; Preferred zones; Summary; Chapter 7: The DataGrid API; What does DataGrid do for me?; Borrowing from functional programming GridAgent and EntityGridAgent with an unknown key set; Aggregate results; Using ephemeral objects in agents; Updates with agents; Scheduling agents; Summary; Chapter 8: Data Grid Patterns; XTP: Extreme Transaction Processing; The data model; Schema root; Reference data and object duplication; How do we duplicate objects?; Time-to-live keeps us out of trouble; Early eviction; Rely on partitions, not the entire grid; One transaction, one node; Object schema denormalization; Summary; Chapter 9: Spring Integration; Injecting ObjectGrid instances; Spring-managed eXtreme Scale configuration Transaction managementBasic configuration; ObjectGrid client configuration; Remembering our patterns; Summary; Chapter 10: Putting it all together; The bookmarks app; The data model; The service layer; Storing data how it is used; Grid/ORM hybrid; Preloading data; Improving responsiveness; Caching more than ORM; Summary; Index |
ctrlnum | (OCoLC)540329682 |
dewey-full | 004.36 |
dewey-hundreds | 000 - Computer science, information, general works |
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dewey-raw | 004.36 |
dewey-search | 004.36 |
dewey-sort | 14.36 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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Data grids provide a way to distribute object storage and add capacity on demand in the form of CPU, memory, and network resources from additional servers. All three resource types play an important role in how fast data can be processed, and how much data can be processed at once. WebSphere eXtreme Scale provides a solution to scalability issues through caching and grid technology. Working with a data grid requires new approaches to writing highly scalable software; this book covers both the practical eXtreme Scale libraries and design patterns that will help you build scalable software.<br /><br />Starting with a blank slate, this book assumes you don't have experience with IBM WebSphere eXtreme Scale. It is a tutorial-style guide detailing the installation of WebSphere eXtreme Scale right through to using the developer libraries. It covers installation and configuration, and discusses the reasons why a data grid is a viable middleware layer. 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By the end of the book, you'll be able to write software using the eXtreme Scale APIs, and take advantage of a linearly scalable middleware layer.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: What is a Data Grid; Data grid basics; Getting IBM WebSphere eXtreme Scale; Setting up your environment; Hello, world!; Summary; Chapter 2: The ObjectMap API; Different kinds of maps; Get and put; Updating objects in the grid; Lock strategies; Lock types; Hash map refresher (or crash course); Optimistic collisions; Deadlocks; Removing objects; FIFO queues; Unsupported methods; Wrapping up; Summary; Chapter 3: Entities and Queries; Entities; Defining Entities; Persisting Entities</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Composition versus InheritanceThe Find methods; Entity life-cycle states; Merge, remove, and the detached state; 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id | ZDB-4-EBA-ocn540329682 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:16:57Z |
institution | BVB |
isbn | 9781847197450 1847197450 9786612397233 6612397233 1282397230 9781282397231 |
language | English |
oclc_num | 540329682 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (iv, 276 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2009 |
publishDateSearch | 2009 |
publishDateSort | 2009 |
publisher | Packt Pub., |
record_format | marc |
series | From technologies to solutions. |
series2 | From technologies to solutions |
spelling | Chaves, Anthony. IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / Anthony Chaves ; reviewers, Billy Newport, Jeremiah Small. Birmingham, UK : Packt Pub., 2009. 1 online resource (iv, 276 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file rda From technologies to solutions Title from title screen. Includes index. Annotation A data grid is a means of combining computing resources. Data grids provide a way to distribute object storage and add capacity on demand in the form of CPU, memory, and network resources from additional servers. All three resource types play an important role in how fast data can be processed, and how much data can be processed at once. WebSphere eXtreme Scale provides a solution to scalability issues through caching and grid technology. Working with a data grid requires new approaches to writing highly scalable software; this book covers both the practical eXtreme Scale libraries and design patterns that will help you build scalable software.<br /><br />Starting with a blank slate, this book assumes you don't have experience with IBM WebSphere eXtreme Scale. It is a tutorial-style guide detailing the installation of WebSphere eXtreme Scale right through to using the developer libraries. It covers installation and configuration, and discusses the reasons why a data grid is a viable middleware layer. It also covers many different ways of interacting with objects in eXtreme Scale. It will also show you how to use eXtreme Scale in new projects, and integrate it with relational databases and existing applications.<br /><br />This book covers the ObjectMap, Entity, and Query APIs for interacting with objects in the grid. It shows client/server configurations and interactions, as well as the powerful DataGrid API. DataGrid allows us to send code into the grid, which can be run where the data lives. Equally important are the design patterns that go alongside using a data grid. This book covers the major concepts you need to know that prevent your client application from becoming a performance bottleneck. By the end of the book, you'll be able to write software using the eXtreme Scale APIs, and take advantage of a linearly scalable middleware layer. Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: What is a Data Grid; Data grid basics; Getting IBM WebSphere eXtreme Scale; Setting up your environment; Hello, world!; Summary; Chapter 2: The ObjectMap API; Different kinds of maps; Get and put; Updating objects in the grid; Lock strategies; Lock types; Hash map refresher (or crash course); Optimistic collisions; Deadlocks; Removing objects; FIFO queues; Unsupported methods; Wrapping up; Summary; Chapter 3: Entities and Queries; Entities; Defining Entities; Persisting Entities Composition versus InheritanceThe Find methods; Entity life-cycle states; Merge, remove, and the detached state; Entity relationships; @OneToMany, @ManyToOne; schemaRoot; The Query API; Joins and aggregate functions; IDs and Indexes; Summary; Chapter 4: Database Integration; You're going where?; Where does an IMDG fit?; JPALoader and JPAEntityLoader; The Loader's job; Performance and referential integrity; Removal versus eviction; Write-through and write-behind; BackingMap and Loader; Picking battles; JPALoader; Summary; Chapter 5: Handling Increased Load; The building blocks Shards and partitionsClient/Server ObjectGrid; A basic deployment; Starting a container; Connecting to a distributed grid; Adding more containers; Partition placement; Capacity planning; Hitting the wall; Summary; Chapter 6: Keeping Data Available; Containers, shards, partitions, and replicas; The foundation; Shards; Map sets; Partitions; Replication; Shard placement; Shard start-up; Lost shards and failover; Physical location; Controlled data separation; Preferred zones; Summary; Chapter 7: The DataGrid API; What does DataGrid do for me?; Borrowing from functional programming GridAgent and EntityGridAgent with an unknown key set; Aggregate results; Using ephemeral objects in agents; Updates with agents; Scheduling agents; Summary; Chapter 8: Data Grid Patterns; XTP: Extreme Transaction Processing; The data model; Schema root; Reference data and object duplication; How do we duplicate objects?; Time-to-live keeps us out of trouble; Early eviction; Rely on partitions, not the entire grid; One transaction, one node; Object schema denormalization; Summary; Chapter 9: Spring Integration; Injecting ObjectGrid instances; Spring-managed eXtreme Scale configuration Transaction managementBasic configuration; ObjectGrid client configuration; Remembering our patterns; Summary; Chapter 10: Putting it all together; The bookmarks app; The data model; The service layer; Storing data how it is used; Grid/ORM hybrid; Preloading data; Improving responsiveness; Caching more than ORM; Summary; Index English. WebSphere. http://id.loc.gov/authorities/names/n2001002465 WebSphere. blmlsh WebSphere fast Computational grids (Computer systems) http://id.loc.gov/authorities/subjects/sh98004531 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Grilles informatiques. Logiciels d'application Développement. COMPUTERS Client-Server Computing. bisacsh Computational grids (Computer systems) blmlsh Application software Development. blmlsh Application software Development fast Computational grids (Computer systems) fast Newport, Billy. rev Small, Jeremiah. rev has work: IBM WebSphere eXtreme Scale 6 (Text) https://id.oclc.org/worldcat/entity/E39PCXfVtgdGBvbDrrW9yP4wYd https://id.oclc.org/worldcat/ontology/hasWork Print version: Chaves, Anthony. IBM WebSphere eXtreme Scale 6. Birmingham, UK : Packt Publishing Ltd., 2009 9781847197443 (OCoLC)556514891 From technologies to solutions. http://id.loc.gov/authorities/names/no2008038412 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=334470 Volltext |
spellingShingle | Chaves, Anthony IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / From technologies to solutions. Cover; Copyright; Credits; About the Author; About the Reviewers; Table of Contents; Preface; Chapter 1: What is a Data Grid; Data grid basics; Getting IBM WebSphere eXtreme Scale; Setting up your environment; Hello, world!; Summary; Chapter 2: The ObjectMap API; Different kinds of maps; Get and put; Updating objects in the grid; Lock strategies; Lock types; Hash map refresher (or crash course); Optimistic collisions; Deadlocks; Removing objects; FIFO queues; Unsupported methods; Wrapping up; Summary; Chapter 3: Entities and Queries; Entities; Defining Entities; Persisting Entities Composition versus InheritanceThe Find methods; Entity life-cycle states; Merge, remove, and the detached state; Entity relationships; @OneToMany, @ManyToOne; schemaRoot; The Query API; Joins and aggregate functions; IDs and Indexes; Summary; Chapter 4: Database Integration; You're going where?; Where does an IMDG fit?; JPALoader and JPAEntityLoader; The Loader's job; Performance and referential integrity; Removal versus eviction; Write-through and write-behind; BackingMap and Loader; Picking battles; JPALoader; Summary; Chapter 5: Handling Increased Load; The building blocks Shards and partitionsClient/Server ObjectGrid; A basic deployment; Starting a container; Connecting to a distributed grid; Adding more containers; Partition placement; Capacity planning; Hitting the wall; Summary; Chapter 6: Keeping Data Available; Containers, shards, partitions, and replicas; The foundation; Shards; Map sets; Partitions; Replication; Shard placement; Shard start-up; Lost shards and failover; Physical location; Controlled data separation; Preferred zones; Summary; Chapter 7: The DataGrid API; What does DataGrid do for me?; Borrowing from functional programming GridAgent and EntityGridAgent with an unknown key set; Aggregate results; Using ephemeral objects in agents; Updates with agents; Scheduling agents; Summary; Chapter 8: Data Grid Patterns; XTP: Extreme Transaction Processing; The data model; Schema root; Reference data and object duplication; How do we duplicate objects?; Time-to-live keeps us out of trouble; Early eviction; Rely on partitions, not the entire grid; One transaction, one node; Object schema denormalization; Summary; Chapter 9: Spring Integration; Injecting ObjectGrid instances; Spring-managed eXtreme Scale configuration Transaction managementBasic configuration; ObjectGrid client configuration; Remembering our patterns; Summary; Chapter 10: Putting it all together; The bookmarks app; The data model; The service layer; Storing data how it is used; Grid/ORM hybrid; Preloading data; Improving responsiveness; Caching more than ORM; Summary; Index WebSphere. http://id.loc.gov/authorities/names/n2001002465 WebSphere. blmlsh WebSphere fast Computational grids (Computer systems) http://id.loc.gov/authorities/subjects/sh98004531 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Grilles informatiques. Logiciels d'application Développement. COMPUTERS Client-Server Computing. bisacsh Computational grids (Computer systems) blmlsh Application software Development. blmlsh Application software Development fast Computational grids (Computer systems) fast |
subject_GND | http://id.loc.gov/authorities/names/n2001002465 http://id.loc.gov/authorities/subjects/sh98004531 http://id.loc.gov/authorities/subjects/sh95009362 |
title | IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / |
title_auth | IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / |
title_exact_search | IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / |
title_full | IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / Anthony Chaves ; reviewers, Billy Newport, Jeremiah Small. |
title_fullStr | IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / Anthony Chaves ; reviewers, Billy Newport, Jeremiah Small. |
title_full_unstemmed | IBM WebSphere eXtreme Scale 6 : build scalable, high-performance software with IBM's data grid / Anthony Chaves ; reviewers, Billy Newport, Jeremiah Small. |
title_short | IBM WebSphere eXtreme Scale 6 : |
title_sort | ibm websphere extreme scale 6 build scalable high performance software with ibm s data grid |
title_sub | build scalable, high-performance software with IBM's data grid / |
topic | WebSphere. http://id.loc.gov/authorities/names/n2001002465 WebSphere. blmlsh WebSphere fast Computational grids (Computer systems) http://id.loc.gov/authorities/subjects/sh98004531 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Grilles informatiques. Logiciels d'application Développement. COMPUTERS Client-Server Computing. bisacsh Computational grids (Computer systems) blmlsh Application software Development. blmlsh Application software Development fast Computational grids (Computer systems) fast |
topic_facet | WebSphere. WebSphere Computational grids (Computer systems) Application software Development. Grilles informatiques. Logiciels d'application Développement. COMPUTERS Client-Server Computing. Application software Development |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=334470 |
work_keys_str_mv | AT chavesanthony ibmwebsphereextremescale6buildscalablehighperformancesoftwarewithibmsdatagrid AT newportbilly ibmwebsphereextremescale6buildscalablehighperformancesoftwarewithibmsdatagrid AT smalljeremiah ibmwebsphereextremescale6buildscalablehighperformancesoftwarewithibmsdatagrid |