Shared data clusters : scaleable, manageable, and highly available systems / Dilip Ranade.
By: Ranade, Dilip
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Material type: 
TextSeries: 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 | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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| 004.66 KEE 1997 An engineering approach to computer networking : | 004.66 KEE 1997 An engineering approach to computer networking : | 004.66 KEE 1997 An engineering approach to computer networking : | 004.66 RAS 2002 Shared data clusters : | 004.67 RYC 2000 Cisco router troubleshooting handbook / | 004.67 RYC 2000 Cisco router troubleshooting handbook / | 004.678 0222 LYW 1999 Web style guide : |
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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