Temporal QOS Management in Scientific Cloud Workflow Systems

丛 书 名：Elsevier insights

作     者：Xiao Liu Yun Yang Jinjun Chen 

I S B N：(纸本) 9780123970107 

出 版 社：Elsevier 

出 版 年：2012年

主 题 词：Computer Science and Technology 

学科分类：12[管理学] 07[理学] 08[工学] 071102[理学-系统分析与集成] 0711[理学-系统科学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0835[工学-软件工程] 081101[工学-控制理论与控制工程] 081201[工学-计算机系统结构] 0811[工学-控制科学与工程] 081103[工学-系统工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 081202[工学-计算机软件与理论] 

摘      要：Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real world scientific applications which often must be completed by satisfying a set of temporal constraints such as milestones and deadlines. Meanwhile, activity duration, as a measurement of system performance, often needs to be monitored and controlled. This book demonstrates how to guarantee on-time completion of most, if not all, workflow applications. Offering a comprehensive framework to support the lifecycle of time-constrained workflow applications, this book will enhance the overall performance and usability of scientific cloud workflow systems.