As computation continues to move into the cloud, the computing platform of interest no longer resembles a pizza box or a refrigerator, but a warehouse full of computers. These new large datacenters are quite different from traditional hosting facilities of earlier times and cannot be viewed simply as a collection of co-located servers. Large portions of the hardware and software resources in these facilities must work in concert to efficiently deliver good levels of Internet service performance, something that can only be achieved by a holistic approach to their design and deployment. In other words, we must treat the datacenter itself as one massive warehouse-scale computer (WSe. We describe the architecture of WSCs, the main factors influencing their design, operation, and cost structure, and the characteristics of their software base. We hope it will be useful to architects and programmers of today's WSCs, as well as those of future many-core platforms which may one day implement the equivalent of today's WSCs on a single board. Table of Contents: Introduction / Workloads and Software Infrastructure / Hardware Building Blocks / Datacenter Basics / Energy and Power Efficiency / Modeling Costs / Dealing with Failures and Repairs / Closing Remarks
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g-1推薦 講究 各種公式計算
评分參加SRECon時百度的一位朋友推薦的,沒想到2年以後纔找到集中的時間讀完。 這本書目前已有第二版,內容涵蓋瞭構建大規模數據中心的關鍵技術及實踐,沒有深入所有細節,讀完後確實對如何實現高效能的數據中心有瞭一定瞭解。 從本書中也可以看到Google研究技術的習慣,抽象,數學化,從實踐中找到通用的方法,這點是我們值得學習的。
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评分g-1推薦 講究 各種公式計算
评分參加SRECon時百度的一位朋友推薦的,沒想到2年以後纔找到集中的時間讀完。 這本書目前已有第二版,內容涵蓋瞭構建大規模數據中心的關鍵技術及實踐,沒有深入所有細節,讀完後確實對如何實現高效能的數據中心有瞭一定瞭解。 從本書中也可以看到Google研究技術的習慣,抽象,數學化,從實踐中找到通用的方法,這點是我們值得學習的。
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