书目名称 | Quantitative Methods in Parallel Systems | 编辑 | François Baccelli,Alain Jean-Marie,Isi Mitrani | 视频video | | 丛书名称 | ESPRIT Basic Research Series | 图书封面 |  | 描述 | It is widely recognized that the complexity of parallel and distributed systems is such that proper tools must be employed during their design stage in order to achieve the quantitative goals for which they are intended. This volume collects recent research results obtained within the Basic Research Action Qmips, which bears on the quantitative analysis of parallel and distributed architectures. Part 1 is devoted to research on the usage of general formalisms stemming from theoretical computer science in quantitative performance modeling of parallel systems. It contains research papers on process algebras, on Petri nets, and on queueing networks. The contributions in Part 2 are concerned with solution techniques. This part is expected to allow the reader to identify among the general formalisms of Part I, those that are amenable to an efficient mathematical treatment in the perspective of quantitative information. The common theme of Part 3 is the application of the analytical results of Part 2 to the performance evaluation and optimization of parallel and distributed systems. Part 1. Stochastic Process Algebras are used by N. Gotz, H. Hermanns, U. Herzog, V. Mertsiotakis and M. Re | 出版日期 | Book 1995 | 关键词 | Processing; algebra; algorithmics; algorithms; calculus; computer; computer architecture; distributed memor | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-79917-4 | isbn_softcover | 978-3-642-79919-8 | isbn_ebook | 978-3-642-79917-4 | copyright | ECSC-EC-EAEC, Brussels-Luxembourg 1995 |
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