2018
DOI: 10.1002/cpe.5033
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Co‐scheduling of data intensive jobs and processor redistribution under temperature constraints

Abstract: SummaryWith the congregation of more and more data intensive computational task in cloud environment, the distributive paradigm of data processing acquire the state of being more cost‐sensitive in commercial cloud computing environment. Also, the rise in power density from physical machines and memory systems has caused the development of mechanisms to cater efficient thermal management system. Owing to the reactive nature, these methods usually suffer from poor predictability; hence, there lies a dearth of av… Show more

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