2019
DOI: 10.1109/tcc.2017.2702661
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Cost-Efficient Tasks and Data Co-Scheduling with AffordHadoop

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Cited by 10 publications
(14 citation statements)
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“…In [13], an Afford-Hadoop application is adopted to reduce cost in finishing various tasks and to allocate data and schedule tasks and hence efficiency of system get enhanced. However, a NP-hard problem occurs while scheduling different tasks in state-of-art technique.…”
Section: Related Workmentioning
confidence: 99%
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“…In [13], an Afford-Hadoop application is adopted to reduce cost in finishing various tasks and to allocate data and schedule tasks and hence efficiency of system get enhanced. However, a NP-hard problem occurs while scheduling different tasks in state-of-art technique.…”
Section: Related Workmentioning
confidence: 99%
“…In recent years, to enhance the performance of Hadoop application, various efficient Hadoop models are presented by numerous researchers [9][10][11][12][13][14]. A comprehensive information for job prediction and optimization can be presented using Starfish [9] model, which gathers an active Hadoop task profile at a satisfactory granularity.…”
Section: Introductionmentioning
confidence: 99%
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“…Users can submit bids to the market at any time, using the spot price history to decide how much to bid. The cloud provider sets the spot price at regular time intervals, e.g., every five minutes, depending on the number of bids received from users (demand) and how many resources are available (supply) at each time slot [97] [101]. In these mechanisms, users' bids above the spot price are accepted, and that below is rejected in each time slot.…”
Section: Minimize Costmentioning
confidence: 99%