Dynamic power management for QoS-aware applications

Marzolla, Moreno; Mirandola, Raffaela

doi:10.1016/j.suscom.2013.02.001

Cited by 7 publications

(2 citation statements)

References 51 publications

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“…Dynamic power management (DPM) [6] and Dynamic voltage and frequency scaling (DVFS) techniques are widely adopted to reduce power consumption in clusters [7][8][9][10]. DPM is an effective energy saving method that attempts to adjust the power mode according to the workload variation [11,12]. In a broad sense, DVFS can be regarded as the CPU level DPM.…”

Section: Related Workmentioning

confidence: 99%

A Novel, Energy-Aware Task Duplication-Based Scheduling Algorithm of Parallel Tasks on Clusters

Liang

Pang

2016

MCA

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Abstract:Increasing energy has become an important issue in high performance clusters. To balance the energy and performance, we proposed a novel, energy-aware duplication-based scheduling (NEADS). An existing energy-aware duplication-based algorithm replicates all qualified predecessor tasks in a bottom-up manner. Some tasks without direct relation may be replicated to the same processor, which cannot reduce the communication energy. Instead, the computation overhead may be increased. In contrast, the proposed algorithm only replicates the directly correlated predecessor tasks in the energy threshold range without lengthening the schedule length. The proposed algorithm is compared with the non-duplication algorithm and existing duplicated-based algorithm. Extensive experimental results show that the proposed algorithm can effectively reduce energy consumption in various applications. It has advantages over other algorithms on computation-intensive applications.

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Section: Related Workmentioning

confidence: 99%

A Novel, Energy-Aware Task Duplication-Based Scheduling Algorithm of Parallel Tasks on Clusters

Liang

Pang

2016

MCA

View full text Add to dashboard Cite

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“…Increasing attention has been directed toward energy efficiency research for high performance clusters [2][3]. Among many energy saving techniques, scheduling is an efficient approach to reducing energy consumption on clusters.…”

Section: Related Workmentioning

confidence: 99%