A unique, practical approach to working with collection classes in Java 2 Software developers new to Java will find the practical, software-engineering based approach taken by this book extremely refreshing. With an emphasis more on software design and less on theory, Java Collections explores in detail Java 2 collection classes, helping programmers choose the best collection classes for each application they work on. Watt and Brown explore abstract data types (ADTs) that turn up again and again in software design, using them to provide context for the data structures required for their implementation and the algorithms associated with the data structures. Numerous worked examples, several large case studies, and end-of-chapter exercises are also provided.
David Watt is a Professor of Computing Science at the University of Glasgow. Deryck Brown is a Senior Lecturer in Computing Science at the Robert Gordon University, Aberdeen.
Preface. Introduction. Algorithms. The Array Data Structure. Linked-List Data Structures. Abstract Data Types. Stack Abstract Data Types. Queue Abstract Data Types. List Abstract Data Types. Set Abstract Data Types. Binary Tree Data Structures. Map Abstract Data Types. Hash-Table Data Structures. Priority-Queue Abstract Data Types. Tree Abstract Data Types. Graph Abstract Data Types. Balanced Search Treet Data Structures. Conclusion. Appendix A: Summary of Mathematics for Algorithm Analysis. Appendix B: Summary of Java. Appendix C: Summary of the Java Collections Framework. Further Reading. Index.
Show moreA unique, practical approach to working with collection classes in Java 2 Software developers new to Java will find the practical, software-engineering based approach taken by this book extremely refreshing. With an emphasis more on software design and less on theory, Java Collections explores in detail Java 2 collection classes, helping programmers choose the best collection classes for each application they work on. Watt and Brown explore abstract data types (ADTs) that turn up again and again in software design, using them to provide context for the data structures required for their implementation and the algorithms associated with the data structures. Numerous worked examples, several large case studies, and end-of-chapter exercises are also provided.
David Watt is a Professor of Computing Science at the University of Glasgow. Deryck Brown is a Senior Lecturer in Computing Science at the Robert Gordon University, Aberdeen.
Preface. Introduction. Algorithms. The Array Data Structure. Linked-List Data Structures. Abstract Data Types. Stack Abstract Data Types. Queue Abstract Data Types. List Abstract Data Types. Set Abstract Data Types. Binary Tree Data Structures. Map Abstract Data Types. Hash-Table Data Structures. Priority-Queue Abstract Data Types. Tree Abstract Data Types. Graph Abstract Data Types. Balanced Search Treet Data Structures. Conclusion. Appendix A: Summary of Mathematics for Algorithm Analysis. Appendix B: Summary of Java. Appendix C: Summary of the Java Collections Framework. Further Reading. Index.
Show moreIntroduction 1
Part I: Ready, Set, Go with VMware Infrastructure 3 9
Chapter 1: Exploring VMware Infrastructure 3 as Your Virtual Solution 11
Chapter 2: Getting the Scoop on Capacity Planning 23
Chapter 3: Knowing Your Storage Options 39
Part II: Setting Up ESX Hosts 55
Chapter 4: ESX: The Brawn Behind the Brains 57
Chapter 5: ESX Installation — Now the Fun Begins 67
Part III: Connecting the Physical to Your Virtual Environment 81
Chapter 6: Embracing the Look and Feel of VMware Infrastructure Client 83
Chapter 7: Virtual Networking 95
Chapter 8: Connecting to Storage 119
Part IV: Fault Tolerance and Data Centers 137
Chapter 9: Getting VMware Virtual Center Running 139
Chapter 10: Making Virtual Machines 161
Chapter 11: Managing Virtual Machines 175
Chapter 12: Keeping Things Running with Virtual Clusters 193
Part V: Playing Virtual Adminstrator 209
Chapter 13: Securing Your System 211
Chapter 14: Swimming in Resource Pools 229
Chapter 15: Monitoring Your System 243
Chapter 16: Preparing for Disaster 259
Chapter 17: Troubleshooting 271
Part VI: The Part of Tens 281
Chapter 18: Ten Places to Discover More 283
Chapter 19: Ten Other VMware Products 295
Chapter 20: Ten Cool Virtual Appliances 307
Index 319
David Watt is a Professor of Computing Science at the University of
Glasgow.
Deryck Brown is a Senior Lecturer in Computing Science at the
Robert Gordon University, Aberdeen.
"A lovely book.... I will use this book a lot in the next few months on a Java project I'm just starting." (CVu, December 2001)
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