Clustering is a vital methodology in the data storage world. Itsgoal is to maximize cost-effectiveness, availability, flexibility,and scalability. Clustering has changed considerably for the betterdue to Storage Area Networks, which provide access to data from anynode in the cluster.* Explains how clusters with shared storage work and thecomponents in the cluster that need to work together* Reviews where a cluster should be deployed and how to use onefor best performance* Author is Lead Technical Engineer for VERITAS Cluster FileSystems and has worked on clusters and file systems for the pastten years
Autorentext
DILIP M. RANADE is Lead Technical Engineer for VERITAS Cluster File Systems. He has worked on clusters and file systems for the past ten years and helped develop an indigenous distributed file system from scratch for the Indian Massively Parallel Supercomputer PARAM.
Veritas
Wiley Computer Publishing has teamed with VERITAS Software Corporation to deliver a series of books for the enterprise storage management community. These titles will provide system and network administrators, server application developers, and storage engineers with in-depth, hands-on information on how to build scalable, quick, and highly available storage area networks. Key books in the series, including this one, are designed to help CIOs make the decisions as to when and how to embark on investing in new technology.
Klappentext
The ideal introduction to an exciting emergent technology-shared data clusters
What are shared data clusters? What is clustering technology? Does it really work? How does it work? How is data stored and accessed on clusters? Dilip Ranade takes you on a fascinating journey to answer these questions and learn all there is to know about this developing technology. Each chapter builds on what you have learned in the previous section, offering you a wide breadth of information at a comfortable pace. After you view the various hardware and software components that constitute a computer system, you'll receive an examination of how cluster software works with an in-depth look at essential clustering services such as locking and messaging. By the end of the book, you will use the progressive knowledge you have gained to understand how shared data clusters can be put to use. You'll study some real-world applications that can be used on a cluster, the difficulties in deploying them, best practices, and finally two case studies -- cluster file systems and cluster managers.
Ranade thoroughly covers all you need to know about shared data clusters, including:
* Networks for clusters
* Storage subsystems
* Highly available systems
* Volume managers
* File systems
* Databases and other applications
* Monitoring, messaging, and transactions in a cluster
* Cluster lock manager, cluster volume manager, and cluster file system
Zusammenfassung
Clustering is a vital methodology in the data storage world. Its goal is to maximize cost-effectiveness, availability, flexibility, and scalability. Clustering has changed considerably for the better due to Storage Area Networks, which provide access to data from any node in the cluster.
- Explains how clusters with shared storage work and the components in the cluster that need to work together
- Reviews where a cluster should be deployed and how to use one for best performance
- Author is Lead Technical Engineer for VERITAS Cluster File Systems and has worked on clusters and file systems for the past ten years
Inhalt
Preface.
Acknowledgments.
PART ONE: BASICS.
Chapter 1: Computers and Operating Systems.
Chapter 2: Networks for Clusters.
Chapter 3: Storage Subsystems.
Chapter 4: Highly Available Systems.
Chapter 5: Transactions and Locking.
Chapter 6: Shared Data Clusters.
Chapter 7: Volume Managers.
Chapter 8: File Systems.
Chapter 9: Databases and Other Applications.
PART TWO: CLUSTERING TECHNOLOGY.
Chapter 10: Cluster Monitor.
Chapter 11: Cluster Messaging.
Chapter 12: Cluster Lock Manager.
Chapter 13: Cluster Transaction Managers.
Chapter 14: Cluster Volume Manager.
Chapter 15: Cluster File System.
Chapter 16: Cluster Manager.
Chapter 17: SAN Manager.
PART THREE: USING SHARED DATA CLUSTERS.
Chapter 18: Best Practices.
Chapter 19: Case Studies.
Reading List.
Index.
Titel
Shared Data Clusters
Untertitel
Scaleable, Manageable, and Highly Available Systems (VERITAS Series)
Autor
EAN
9780471448853
ISBN
978-0-471-44885-3
Format
E-Book (pdf)
Hersteller
Herausgeber
Veröffentlichung
03.02.2003
Digitaler Kopierschutz
Adobe-DRM
Dateigrösse
8.98 MB
Anzahl Seiten
448
Jahr
2003
Untertitel
Englisch
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