The Design of Cloud Workflow Systems

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2012, 1st edition
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Work?ow systems originated from of?ce automation which started in 1970s to support the of?ce information management for accomplishing simple business tasks [2]. In the last decade, work?ow systems become more oriented to the process automation of large scale business and scienti?c applications. Many work?ow systems have been deployed on high performance computing infrastructures such as cluster, peer-to-peer (p2p), and grid computing [59, 77, 85]. One of the driving forces is the increasing demand of large scale instance intensive and data/computation intensive work?ow applications (large scale work?ow applications for short) which are common in both e-business and e-science application areas. Typical examples include such as the instance intensive securities exchange process in a stock market, the ?ight booking process in a travel agency; and the data and computation intensive pulsar searching process in Astrophysics, the weather forecast process in Meteorology. These large scale work?ow applications normally require the support of powerful high performance computing infrastructures (e.g. advanced CPU units, large memory space and high speed network).
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