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Shared data clusters : scaleable, manageable, and highly available systems / Dilip Ranade.

By: Ranade, Dilip, 1953-.
Material type: TextTextSeries: Veritas series.Publisher: Indianapolis, IN : Wiley Pub., c2002Description: xviii, 430 p. : ill. ; 25 cm.ISBN: 047118070X; 9780471180708.Subject(s): Parallel computers | Electronic data processing -- Distributed processing | Beowulf clusters (Computer systems)DDC classification: 004.66 Online resources: Contributor biographical information | Publisher description | Table of contents | WorldCat details | Ebook Fulltext
Contents:
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.
Summary: Clustering is a vital methodology in the data storage world. Its goal is to maximize cost effectiveness, availability, flexibility, and scalability. This work explains how clusters with shared storage work and the components in the cluster that need to work together. It also reviews where a cluster should be deployed and how to use one.
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004.66 RAS 2002 (Browse shelf) Not for loan
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Non-fiction 004.66 RAS 2002 (Browse shelf) C-2 Available 12943
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Includes bibliographical references (p. 411) and index.

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.

Clustering is a vital methodology in the data storage world. Its goal is to maximize cost effectiveness, availability, flexibility, and scalability. This work explains how clusters with shared storage work and the components in the cluster that need to work together. It also reviews where a cluster should be deployed and how to use one.

Computer Science & Engineering

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