书目名称 | Evolutionary Hierarchical Multi-Criteria Metaheuristics for Scheduling in Large-Scale Grid Systems |
编辑 | Joanna Kołodziej |
视频video | http://file.papertrans.cn/318/317962/317962.mp4 |
概述 | Complete coverage of the latest research on the novel bio-inspired hierarchic scalable models and methodologies in dynamic grid scheduling.Presents a detailed classification of scheduling problems.Pro |
丛书名称 | Studies in Computational Intelligence |
图书封面 |  |
描述 | .One of the most challenging issues in modelling today‘s large-scale computational systems is to effectively manage highly parametrised distributed environments such as computational grids, clouds, ad hoc networks and P2P networks. Next-generation computational grids must.provide a wide range of services and high performance computing infrastructures. Various types of information and data processed in the large-scale dynamic grid environment may be incomplete, imprecise, and fragmented, which complicates the specification of proper evaluation criteria and which affects both the availability of resources and the final collective decisions of users. The complexity of grid architectures and grid management may also contribute towards higher energy consumption. All of these issues necessitate the development of intelligent resource management techniques, which are capable of capturing all of this complexity and optimising meaningful metrics for a wide range of grid applications.. .This book covers hot topics in the design, administration and management of dynamic grid environments with a special emphasis on the preferences and autonomous decisions of system users, secure access to the |
出版日期 | Book 2012 |
关键词 | Artificial Intelligence; Computational Intelligence; Genetic Algorithms; Green Computing; Grid Computing |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-642-28971-2 |
isbn_softcover | 978-3-642-43661-1 |
isbn_ebook | 978-3-642-28971-2Series ISSN 1860-949X Series E-ISSN 1860-9503 |
issn_series | 1860-949X |
copyright | Springer-Verlag Berlin Heidelberg 2012 |