Dynamic workload peak detection for slack management

A. Milutinovic; K.G.W. Goossens; G.J.M. Smit

doi:10.1109/SOCC.2009.5335679

Dynamic workload peak detection for slack management

A. Milutinovic, K.G.W. Goossens, G.J.M. Smit

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

In this paper an analytical study on dynamism and possibilities on slack exploitation by dynamic power management is presented. We introduce a specific workload decomposition method for work required for (streaming) application processing data tokens (e.g. video frames) with work behaviour patterns as a mix of periodic and aperiodic patterns. It offers efficient and computationally light method for speculation on considerable work variations and its exploitation in energy saving techniques. It is used by a dynamic power management policy which has low overhead and reduces both requirements for buffering space, and deadline misses (increase QoS). We evaluate our policy in experiments on MPEG4 decoding of several different input sequences and present results. ©2009 IEEE.

Original language	English
Title of host publication	2009 International Symposium on System-on-Chip, SoC 2009, 5 October - 7 October 2009, Tampere
Pages	42-47
DOIs	https://doi.org/10.1109/SOCC.2009.5335679
Publication status	Published - 2009

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10.1109/SOCC.2009.5335679

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title = "Dynamic workload peak detection for slack management",

abstract = "In this paper an analytical study on dynamism and possibilities on slack exploitation by dynamic power management is presented. We introduce a specific workload decomposition method for work required for (streaming) application processing data tokens (e.g. video frames) with work behaviour patterns as a mix of periodic and aperiodic patterns. It offers efficient and computationally light method for speculation on considerable work variations and its exploitation in energy saving techniques. It is used by a dynamic power management policy which has low overhead and reduces both requirements for buffering space, and deadline misses (increase QoS). We evaluate our policy in experiments on MPEG4 decoding of several different input sequences and present results. {\textcopyright}2009 IEEE.",

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year = "2009",

doi = "10.1109/SOCC.2009.5335679",

language = "English",

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AU - Milutinovic, A.

AU - Goossens, K.G.W.

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N2 - In this paper an analytical study on dynamism and possibilities on slack exploitation by dynamic power management is presented. We introduce a specific workload decomposition method for work required for (streaming) application processing data tokens (e.g. video frames) with work behaviour patterns as a mix of periodic and aperiodic patterns. It offers efficient and computationally light method for speculation on considerable work variations and its exploitation in energy saving techniques. It is used by a dynamic power management policy which has low overhead and reduces both requirements for buffering space, and deadline misses (increase QoS). We evaluate our policy in experiments on MPEG4 decoding of several different input sequences and present results. ©2009 IEEE.

AB - In this paper an analytical study on dynamism and possibilities on slack exploitation by dynamic power management is presented. We introduce a specific workload decomposition method for work required for (streaming) application processing data tokens (e.g. video frames) with work behaviour patterns as a mix of periodic and aperiodic patterns. It offers efficient and computationally light method for speculation on considerable work variations and its exploitation in energy saving techniques. It is used by a dynamic power management policy which has low overhead and reduces both requirements for buffering space, and deadline misses (increase QoS). We evaluate our policy in experiments on MPEG4 decoding of several different input sequences and present results. ©2009 IEEE.

U2 - 10.1109/SOCC.2009.5335679

DO - 10.1109/SOCC.2009.5335679

M3 - Conference contribution

SP - 42

EP - 47

BT - 2009 International Symposium on System-on-Chip, SoC 2009, 5 October - 7 October 2009, Tampere

ER -

Dynamic workload peak detection for slack management

Abstract

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