| 期刊全稱 | Analyzing Computer System Performance with Perl::PDQ | | 影響因子2023 | Neil J. Gunther | | 視頻video | http://file.papertrans.cn/157/156811/156811.mp4 | | 發(fā)行地址 | New chapters on queues, tools and virtualization.New Perl listing format to aid readability of PDQ models.Fully compatible with latest PDQ 5.0 software release.Crowd-sourced corrigenda to first editio | | 圖書封面 |  | | 影響因子 | .To solve performance problems in modern computing infrastructures, often comprising thousands of servers running hundreds of applications, spanning multiple tiers, you need tools that go beyond mere reporting. You need tools that enable performance analysis of application workflow across the entire enterprise. That‘s what PDQ (Pretty Damn Quick) provides. PDQ is an open-source performance analyzer based on the paradigm of queues. Queues are ubiquitous in every computing environment as buffers, and since any application architecture can be represented as a circuit of queueing delays, PDQ is a natural fit for analyzing system performance..?.Building on the success of the first edition, this considerably expanded second edition now comprises four parts. Part I contains the foundational concepts, as well as a new first chapter that explains the central role of queues in successful performance analysis. Part II provides the basics of queueing theory in a highly intelligible style for the non-mathematician; little more than high-school algebra being required. Part III presents many practical examples of how PDQ can be applied. The PDQ manual has been relegated to an appendix in Part IV, | | Pindex | Book 2011Latest edition |
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