When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers

Hui, Xinning; Du, Z.; Liu, Jason; Sun, Hongyang; He, Yuxiong; Bader, David A.

doi:10.1109/ipdpsw.2017.38

Cited by 1 publication

(1 citation statement)

References 27 publications

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“…There are still some work take both energy consumption and performance into consideration. A GE scheduling algorithm was proposed in [21] to tradeoff the energy consumption of the server and QoS of the applications. The core speed was transformed to compensate the service quality in GE.…”

Section: Related Workmentioning

confidence: 99%

Cost-Aware Scheduling of Computation-Intensive Tasks on Multi-Core Server

2018

TIIS

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Energy-efficient task scheduling on multi-core server is a fundamental issue in green cloud computing. Multi-core processors are widely used in mobile devices, personal computers, and servers. Existing energy efficient task scheduling methods chiefly focus on reducing the energy consumption of the processor itself, and assume that the cores of the processor are controlled independently. However, the cores of some processors in the market are divided into several voltage islands, in each of which the cores must operate on the same status, and the cost of the server includes not only energy cost of the processor but also the energy of other components of the server and the cost of user waiting time. In this paper, we propose a cost-aware scheduling algorithm ICAS for computation intensive tasks on multi-core server. Tasks are first allocated to cores, and optimal frequency of each core is computed, and the frequency of each voltage island is finally determined. The experiments' results show the cost of ICAS is much lower than the existing method.

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Section: Related Workmentioning

confidence: 99%

Cost-Aware Scheduling of Computation-Intensive Tasks on Multi-Core Server

2018

TIIS

View full text Add to dashboard Cite

show abstract

When Good Enough Is Better: Energy-Aware Scheduling for Multicore Servers

Cited by 1 publication

References 27 publications

Cost-Aware Scheduling of Computation-Intensive Tasks on Multi-Core Server

Cost-Aware Scheduling of Computation-Intensive Tasks on Multi-Core Server

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