Optimal Load Balancing in Distributed Computer Systems - Info and Reading Options
By Hisao Kameda, Jie Li, Chonggun Kim and Yongbing Zhang
"Optimal Load Balancing in Distributed Computer Systems" was published by Springer London, Limited in 2011 - London, it has 251 pages and the language of the book is English.
“Optimal Load Balancing in Distributed Computer Systems” Metadata:
- Title: ➤ Optimal Load Balancing in Distributed Computer Systems
- Authors: Hisao KamedaJie LiChonggun KimYongbing Zhang
- Language: English
- Number of Pages: 251
- Publisher: Springer London, Limited
- Publish Date: 2011
- Publish Location: London
“Optimal Load Balancing in Distributed Computer Systems” Subjects and Themes:
Edition Specifications:
- Weight: 0.423
- Pagination: xx, 251
Edition Identifiers:
- The Open Library ID: OL37153533M - OL27348729W
- ISBN-13: 9781447112464 - 9781447109693
- All ISBNs: 9781447112464 - 9781447109693
AI-generated Review of “Optimal Load Balancing in Distributed Computer Systems”:
"Optimal Load Balancing in Distributed Computer Systems" Description:
Open Data:
An important consideration in improving the performance of a distributed computer system is the balancing of the load between the host computers. Load balancing may be either static or dynamic; static balancing strategies are generally based on information about the system's average behavior rather than its actual current state, while dynamic strategies react to the current state when making transfer decisions. Although it is often conjectured that dynamic load balancing outperforms static, careful investigation shows that this view is not always valid. Recent research on the problem of optimal static load balancing is clearly and intuitively presented, with coverage of distributed computer system models, problem formulation in load balancing, and effective algorithms for implementing optimization. Providing a thorough understanding of both static and dynamic strategies, this book will be of interest to all researchers and practitioners working to optimize performance in distributed computer systems
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