Optimal Load Balancing in Distributed Computer Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Load Balancing in Distributed Computer Systems write by Hisao Kameda. This book was released on 2012-12-06. Optimal Load Balancing in Distributed Computer Systems available in PDF, EPUB and Kindle. 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.
Optimal Load Balancing in Distributed Computer Systems
Optimal Load Balancing in Distributed Computer Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Load Balancing in Distributed Computer Systems write by A. N. Tantawi. This book was released on 1984. Optimal Load Balancing in Distributed Computer Systems available in PDF, EPUB and Kindle.
Load Balancing in Parallel Computers
Load Balancing in Parallel Computers - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Load Balancing in Parallel Computers write by Chenzhong Xu. This book was released on 2007-08-26. Load Balancing in Parallel Computers available in PDF, EPUB and Kindle. Load Balancing in Parallel Computers: Theory and Practice is about the essential software technique of load balancing in distributed memory message-passing parallel computers, also called multicomputers. Each processor has its own address space and has to communicate with other processors by message passing. In general, a direct, point-to-point interconnection network is used for the communications. Many commercial parallel computers are of this class, including the Intel Paragon, the Thinking Machine CM-5, and the IBM SP2. Load Balancing in Parallel Computers: Theory and Practice presents a comprehensive treatment of the subject using rigorous mathematical analyses and practical implementations. The focus is on nearest-neighbor load balancing methods in which every processor at every step is restricted to balancing its workload with its direct neighbours only. Nearest-neighbor methods are iterative in nature because a global balanced state can be reached through processors' successive local operations. Since nearest-neighbor methods have a relatively relaxed requirement for the spread of local load information across the system, they are flexible in terms of allowing one to control the balancing quality, effective for preserving communication locality, and can be easily scaled in parallel computers with a direct communication network. Load Balancing in Parallel Computers: Theory and Practice serves as an excellent reference source and may be used as a text for advanced courses on the subject.
A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH
A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH write by Dr P. SrinivasaRao. This book was released on 2017-12-30. A FRAMEWORK FOR SCALABLE DISTRIBUTED JOB PROCESSING WITH DYNAMIC LOAD BALANCING USING DECENTRALIZED APPROACH available in PDF, EPUB and Kindle. A distributed system consists of many heterogeneous processors with different processing power and all processors are interconnected with a communication channel. In such a system, if some processors are less loaded or idle and others are heavily loaded, the system performance will be reduced drastically. System performance can be improved by using proper load balancing [1, 4]. The aim of load balancing is to improve the performance measures and reduce the overall completion time and cost
Optimal Load and Resource Balance in Internet Distributed Systems
Optimal Load and Resource Balance in Internet Distributed Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimal Load and Resource Balance in Internet Distributed Systems write by Hiroshi Nishida. This book was released on 2011. Optimal Load and Resource Balance in Internet Distributed Systems available in PDF, EPUB and Kindle. A distributed system is a network of multiple autonomous computational nodes designed primarily for performance scalability and robustness. The performance of a distributed system depends critically on how tasks and resources are distributed among the nodes. Thus, a main thrust in distributed system research is to design schemes for distributing computational loads and resource sharing in ways that boost the overall system performance. For many Internet distributed systems such as Peer-to-Peer (P2P) networks, the optimization of loads and resource sharing become even more important due to the higher costs of communication and management of nodes located geographically far part. Furthermore, in many P2P-based systems, nodes are individual users who ultimately decide whether they want to contribute their computer resources to the system. As a result, in addition to the system performance consideration from the engineering perspective, many recently proposed resource and task distribution schemes are designed to provide incentives to users, in such a way to promote resource sharing and enhancing system performance. In this dissertation, we study different approaches for optimizing performance of distributed systems. Specifically, the dissertation is focused on "balancing" resources and loads on each node to improve the performance for two important models of distributed systems. In the first model, we study incentive mechanisms to promote cooperation of users in P2P networks. In a typical file sharing P2P network, there are uncooperative peers, or free riders who only download data from other peers without sharing their data with others. As a result, upload bandwidth of cooperative peers are saturated, but those of uncooperative peers are unused. This leads to overall low system utilization and performance degradation. This dissertation proposes a scalable, decentralized mechanism to efficiently prevent free riding, and to increase system performance. The key ingredient of the proposed mechanism is to balance the amounts of upload and download data of each peer using the notion of global contribution which can be efficiently calculated in a distributed manner. In the second model, we consider a class of distributed server systems that can be used as the underlying engines for many Internet applications, especially social networking applications. Such a system consists of a large number of clients who communicate with each other indirectly via a number of intermediate servers. Optimizing the overall performance of such a system then can be formulated as a client-server assignment problem whose aim is to assign the clients to the servers in such a way to satisfy some pre-specified requirements on the communication cost and load balancing. We propose to solve this client-server assignment problem via relaxed convex optimization techniques. The simulation results indicate that the proposed approach produces superior performance than many other popular heuristics.
