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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
World Scientific,
©2004.
|
| Colección: | Series on scalable computing ;
vol. 6. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Annual review of scalable computing / |c editor, Yuen Chung Kwong. |
| 260 | |a Singapore : |b World Scientific, |c ©2004. | ||
| 300 | |a 1 online resource (xi, 121 pages) : |b illustrations | ||
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| 490 | 1 | |a Series on scalable computing ; |v vol. 6 | |
| 504 | |a Includes bibliographical references (pages 117-121). | ||
| 588 | 0 | |a Print version record. | |
| 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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