Annual review of scalable computing /:
This volume presents original articles, reviewing various aspects of scalable computing. Parallel computation with optically interconnected systems makes its first appearance, and further work on distributed Java is also reported. Optimizing data grids and group communication are studied in two anal...
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Singapore :
World Scientific,
©2004.
|
Schriftenreihe: | Series on scalable computing ;
vol. 6. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | This volume presents original articles, reviewing various aspects of scalable computing. Parallel computation with optically interconnected systems makes its first appearance, and further work on distributed Java is also reported. Optimizing data grids and group communication are studied in two analytical chapters. The comprehensive treatment of these topics adds further to the current literature. Contents: An OMIS-based Approach to Monitoring Distributed Java Applications; Scalable and Self-Optimizing Data Grids; The Immediate Dependency Relation; Highly Scalable Parallel Matrix Computing wit. |
Beschreibung: | 1 online resource (xi, 121 pages) : illustrations |
Bibliographie: | Includes bibliographical references (pages 117-121). |
ISBN: | 9789812794727 9812794727 |
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520 | |a This volume presents original articles, reviewing various aspects of scalable computing. Parallel computation with optically interconnected systems makes its first appearance, and further work on distributed Java is also reported. Optimizing data grids and group communication are studied in two analytical chapters. The comprehensive treatment of these topics adds further to the current literature. Contents: An OMIS-based Approach to Monitoring Distributed Java Applications; Scalable and Self-Optimizing Data Grids; The Immediate Dependency Relation; Highly Scalable Parallel Matrix Computing wit. | ||
505 | 0 | |a 1. An OMIS-based approach to monitoring distributed Java applications. 1.1. Introduction. 1.2. Related work. 1.3. Building of a monitoring system. 1.4. A way from OMIS to J-OMIS. 1.5. Architecture of Java-oriented monitoring system. 1.6. The J-OCM as middleware. 1.7 Event handling in the J-OCM. 1.8 Monitoring RMI calls. 1.9. Conclusions. 1.10. Bibliography -- 2. Scalable and self-optimizing data grids. 2.1. Motivation and overview. 2.2. P2P systems as components for scalable grids. 2.3. A scalable data grid with P2P components. 2.4. Availability component. 2.5. Synchronization component. 2.6. Self-management components. 2.7. Putting it all together. 2.8. Related work. 2.9. Conclusion. 2.10 Bibliography -- 3. The immediate dependency relation. 3.1. Introduction. 3.2. Related work. 3.3 The immediate dependency relation. 3.4. The minimal broadcast causal protocol (MBCP). 3.5. Conclusion. 3.6 Bibliography -- 4. Highly scalable parallel matrix computing with optical buses. 4.1. Introduction. 4.2. Preliminaries. 4.3. Limitations of static networks. 4.4. Basic matrix operations. 4.5. Matrix multiplication. 4.6. Matrix chain product and matrix powers. 4.7. Other matrix computations. 4.8. Summary. 4.9. Bibliography. | |
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contents | 1. An OMIS-based approach to monitoring distributed Java applications. 1.1. Introduction. 1.2. Related work. 1.3. Building of a monitoring system. 1.4. A way from OMIS to J-OMIS. 1.5. Architecture of Java-oriented monitoring system. 1.6. The J-OCM as middleware. 1.7 Event handling in the J-OCM. 1.8 Monitoring RMI calls. 1.9. Conclusions. 1.10. Bibliography -- 2. Scalable and self-optimizing data grids. 2.1. Motivation and overview. 2.2. P2P systems as components for scalable grids. 2.3. A scalable data grid with P2P components. 2.4. Availability component. 2.5. Synchronization component. 2.6. Self-management components. 2.7. Putting it all together. 2.8. Related work. 2.9. Conclusion. 2.10 Bibliography -- 3. The immediate dependency relation. 3.1. Introduction. 3.2. Related work. 3.3 The immediate dependency relation. 3.4. The minimal broadcast causal protocol (MBCP). 3.5. Conclusion. 3.6 Bibliography -- 4. Highly scalable parallel matrix computing with optical buses. 4.1. Introduction. 4.2. Preliminaries. 4.3. Limitations of static networks. 4.4. Basic matrix operations. 4.5. Matrix multiplication. 4.6. Matrix chain product and matrix powers. 4.7. Other matrix computations. 4.8. Summary. 4.9. Bibliography. |
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spelling | Annual review of scalable computing / editor, Yuen Chung Kwong. Singapore : World Scientific, ©2004. 1 online resource (xi, 121 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Series on scalable computing ; vol. 6 Includes bibliographical references (pages 117-121). Print version record. This volume presents original articles, reviewing various aspects of scalable computing. Parallel computation with optically interconnected systems makes its first appearance, and further work on distributed Java is also reported. Optimizing data grids and group communication are studied in two analytical chapters. The comprehensive treatment of these topics adds further to the current literature. Contents: An OMIS-based Approach to Monitoring Distributed Java Applications; Scalable and Self-Optimizing Data Grids; The Immediate Dependency Relation; Highly Scalable Parallel Matrix Computing wit. 1. An OMIS-based approach to monitoring distributed Java applications. 1.1. Introduction. 1.2. Related work. 1.3. Building of a monitoring system. 1.4. A way from OMIS to J-OMIS. 1.5. Architecture of Java-oriented monitoring system. 1.6. The J-OCM as middleware. 1.7 Event handling in the J-OCM. 1.8 Monitoring RMI calls. 1.9. Conclusions. 1.10. Bibliography -- 2. Scalable and self-optimizing data grids. 2.1. Motivation and overview. 2.2. P2P systems as components for scalable grids. 2.3. A scalable data grid with P2P components. 2.4. Availability component. 2.5. Synchronization component. 2.6. Self-management components. 2.7. Putting it all together. 2.8. Related work. 2.9. Conclusion. 2.10 Bibliography -- 3. The immediate dependency relation. 3.1. Introduction. 3.2. Related work. 3.3 The immediate dependency relation. 3.4. The minimal broadcast causal protocol (MBCP). 3.5. Conclusion. 3.6 Bibliography -- 4. Highly scalable parallel matrix computing with optical buses. 4.1. Introduction. 4.2. Preliminaries. 4.3. Limitations of static networks. 4.4. Basic matrix operations. 4.5. Matrix multiplication. 4.6. Matrix chain product and matrix powers. 4.7. Other matrix computations. 4.8. Summary. 4.9. Bibliography. High performance computing. http://id.loc.gov/authorities/subjects/sh95008935 Parallel processing (Electronic computers) http://id.loc.gov/authorities/subjects/sh85097826 Superinformatique. Parallélisme (Informatique) COMPUTERS Hardware Mainframes & Minicomputers. bisacsh High performance computing fast Parallel processing (Electronic computers) fast Yuen, C. K. https://id.oclc.org/worldcat/entity/E39PCjwgcWhVv7p6mTk3QjBPjP http://id.loc.gov/authorities/names/n80138979 Print version: Annual review of scalable computing. Singapore : World Scientific, ©2004 9812389024 9789812389022 (OCoLC)224488607 Series on scalable computing ; vol. 6. http://id.loc.gov/authorities/names/no2001045223 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=235570 Volltext |
spellingShingle | Annual review of scalable computing / Series on scalable computing ; 1. An OMIS-based approach to monitoring distributed Java applications. 1.1. Introduction. 1.2. Related work. 1.3. Building of a monitoring system. 1.4. A way from OMIS to J-OMIS. 1.5. Architecture of Java-oriented monitoring system. 1.6. The J-OCM as middleware. 1.7 Event handling in the J-OCM. 1.8 Monitoring RMI calls. 1.9. Conclusions. 1.10. Bibliography -- 2. Scalable and self-optimizing data grids. 2.1. Motivation and overview. 2.2. P2P systems as components for scalable grids. 2.3. A scalable data grid with P2P components. 2.4. Availability component. 2.5. Synchronization component. 2.6. Self-management components. 2.7. Putting it all together. 2.8. Related work. 2.9. Conclusion. 2.10 Bibliography -- 3. The immediate dependency relation. 3.1. Introduction. 3.2. Related work. 3.3 The immediate dependency relation. 3.4. The minimal broadcast causal protocol (MBCP). 3.5. Conclusion. 3.6 Bibliography -- 4. Highly scalable parallel matrix computing with optical buses. 4.1. Introduction. 4.2. Preliminaries. 4.3. Limitations of static networks. 4.4. Basic matrix operations. 4.5. Matrix multiplication. 4.6. Matrix chain product and matrix powers. 4.7. Other matrix computations. 4.8. Summary. 4.9. Bibliography. High performance computing. http://id.loc.gov/authorities/subjects/sh95008935 Parallel processing (Electronic computers) http://id.loc.gov/authorities/subjects/sh85097826 Superinformatique. Parallélisme (Informatique) COMPUTERS Hardware Mainframes & Minicomputers. bisacsh High performance computing fast Parallel processing (Electronic computers) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh95008935 http://id.loc.gov/authorities/subjects/sh85097826 |
title | Annual review of scalable computing / |
title_auth | Annual review of scalable computing / |
title_exact_search | Annual review of scalable computing / |
title_full | Annual review of scalable computing / editor, Yuen Chung Kwong. |
title_fullStr | Annual review of scalable computing / editor, Yuen Chung Kwong. |
title_full_unstemmed | Annual review of scalable computing / editor, Yuen Chung Kwong. |
title_short | Annual review of scalable computing / |
title_sort | annual review of scalable computing |
topic | High performance computing. http://id.loc.gov/authorities/subjects/sh95008935 Parallel processing (Electronic computers) http://id.loc.gov/authorities/subjects/sh85097826 Superinformatique. Parallélisme (Informatique) COMPUTERS Hardware Mainframes & Minicomputers. bisacsh High performance computing fast Parallel processing (Electronic computers) fast |
topic_facet | High performance computing. Parallel processing (Electronic computers) Superinformatique. Parallélisme (Informatique) COMPUTERS Hardware Mainframes & Minicomputers. High performance computing |
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