WISE: a computer system performance index scoring framework

Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocatio...
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Gespeichert in:

Autor*in:	Luciano, Lorenzo [verfasserIn] Kiss, Imre [verfasserIn] Beardshear, Peter William [verfasserIn] Kadosh, Esther [verfasserIn] Hamza, A. Ben [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Machine performance Workload Migration services Compute performance Virtual machines Machine score Cloud computing

Übergeordnetes Werk:	Enthalten in: Journal of Cloud Computing - Berlin : SpringerOpen, 2012, 10(2021), 1 vom: 20. Jan.
Übergeordnetes Werk:	volume:10 ; year:2021 ; number:1 ; day:20 ; month:01

Links:	Volltext

DOI / URN:	10.1186/s13677-020-00224-4

Katalog-ID:	SPR042781930

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spelling	10.1186/s13677-020-00224-4 doi (DE-627)SPR042781930 (DE-599)SPRs13677-020-00224-4-e (SPR)s13677-020-00224-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.32 bkl 54.70 bkl 85.20 bkl Luciano, Lorenzo verfasserin aut WISE: a computer system performance index scoring framework 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations. Machine performance (dpeaa)DE-He213 Workload (dpeaa)DE-He213 Migration services (dpeaa)DE-He213 Compute performance (dpeaa)DE-He213 Virtual machines (dpeaa)DE-He213 Machine score (dpeaa)DE-He213 Cloud computing (dpeaa)DE-He213 Kiss, Imre verfasserin aut Beardshear, Peter William verfasserin aut Kadosh, Esther verfasserin aut Hamza, A. Ben verfasserin aut Enthalten in Journal of Cloud Computing Berlin : SpringerOpen, 2012 10(2021), 1 vom: 20. Jan. (DE-627)726491810 (DE-600)2682472-3 2192-113X nnns volume:10 year:2021 number:1 day:20 month:01 https://dx.doi.org/10.1186/s13677-020-00224-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 54.32 ASE 54.70 ASE 85.20 ASE AR 10 2021 1 20 01
allfields_unstemmed	10.1186/s13677-020-00224-4 doi (DE-627)SPR042781930 (DE-599)SPRs13677-020-00224-4-e (SPR)s13677-020-00224-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.32 bkl 54.70 bkl 85.20 bkl Luciano, Lorenzo verfasserin aut WISE: a computer system performance index scoring framework 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations. Machine performance (dpeaa)DE-He213 Workload (dpeaa)DE-He213 Migration services (dpeaa)DE-He213 Compute performance (dpeaa)DE-He213 Virtual machines (dpeaa)DE-He213 Machine score (dpeaa)DE-He213 Cloud computing (dpeaa)DE-He213 Kiss, Imre verfasserin aut Beardshear, Peter William verfasserin aut Kadosh, Esther verfasserin aut Hamza, A. Ben verfasserin aut Enthalten in Journal of Cloud Computing Berlin : SpringerOpen, 2012 10(2021), 1 vom: 20. Jan. (DE-627)726491810 (DE-600)2682472-3 2192-113X nnns volume:10 year:2021 number:1 day:20 month:01 https://dx.doi.org/10.1186/s13677-020-00224-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 54.32 ASE 54.70 ASE 85.20 ASE AR 10 2021 1 20 01
allfieldsGer	10.1186/s13677-020-00224-4 doi (DE-627)SPR042781930 (DE-599)SPRs13677-020-00224-4-e (SPR)s13677-020-00224-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.32 bkl 54.70 bkl 85.20 bkl Luciano, Lorenzo verfasserin aut WISE: a computer system performance index scoring framework 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations. Machine performance (dpeaa)DE-He213 Workload (dpeaa)DE-He213 Migration services (dpeaa)DE-He213 Compute performance (dpeaa)DE-He213 Virtual machines (dpeaa)DE-He213 Machine score (dpeaa)DE-He213 Cloud computing (dpeaa)DE-He213 Kiss, Imre verfasserin aut Beardshear, Peter William verfasserin aut Kadosh, Esther verfasserin aut Hamza, A. Ben verfasserin aut Enthalten in Journal of Cloud Computing Berlin : SpringerOpen, 2012 10(2021), 1 vom: 20. Jan. (DE-627)726491810 (DE-600)2682472-3 2192-113X nnns volume:10 year:2021 number:1 day:20 month:01 https://dx.doi.org/10.1186/s13677-020-00224-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 54.32 ASE 54.70 ASE 85.20 ASE AR 10 2021 1 20 01
allfieldsSound	10.1186/s13677-020-00224-4 doi (DE-627)SPR042781930 (DE-599)SPRs13677-020-00224-4-e (SPR)s13677-020-00224-4-e DE-627 ger DE-627 rakwb eng 004 ASE 54.32 bkl 54.70 bkl 85.20 bkl Luciano, Lorenzo verfasserin aut WISE: a computer system performance index scoring framework 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations. Machine performance (dpeaa)DE-He213 Workload (dpeaa)DE-He213 Migration services (dpeaa)DE-He213 Compute performance (dpeaa)DE-He213 Virtual machines (dpeaa)DE-He213 Machine score (dpeaa)DE-He213 Cloud computing (dpeaa)DE-He213 Kiss, Imre verfasserin aut Beardshear, Peter William verfasserin aut Kadosh, Esther verfasserin aut Hamza, A. Ben verfasserin aut Enthalten in Journal of Cloud Computing Berlin : SpringerOpen, 2012 10(2021), 1 vom: 20. Jan. (DE-627)726491810 (DE-600)2682472-3 2192-113X nnns volume:10 year:2021 number:1 day:20 month:01 https://dx.doi.org/10.1186/s13677-020-00224-4 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 54.32 ASE 54.70 ASE 85.20 ASE AR 10 2021 1 20 01
language	English
source	Enthalten in Journal of Cloud Computing 10(2021), 1 vom: 20. Jan. volume:10 year:2021 number:1 day:20 month:01
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topic_facet	Machine performance Workload Migration services Compute performance Virtual machines Machine score Cloud computing
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author	Luciano, Lorenzo
spellingShingle	Luciano, Lorenzo ddc 004 bkl 54.32 bkl 54.70 bkl 85.20 misc Machine performance misc Workload misc Migration services misc Compute performance misc Virtual machines misc Machine score misc Cloud computing WISE: a computer system performance index scoring framework
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topic_title	004 ASE 54.32 bkl 54.70 bkl 85.20 bkl WISE: a computer system performance index scoring framework Machine performance (dpeaa)DE-He213 Workload (dpeaa)DE-He213 Migration services (dpeaa)DE-He213 Compute performance (dpeaa)DE-He213 Virtual machines (dpeaa)DE-He213 Machine score (dpeaa)DE-He213 Cloud computing (dpeaa)DE-He213
topic	ddc 004 bkl 54.32 bkl 54.70 bkl 85.20 misc Machine performance misc Workload misc Migration services misc Compute performance misc Virtual machines misc Machine score misc Cloud computing
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title	WISE: a computer system performance index scoring framework
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title_sort	wise: a computer system performance index scoring framework
title_auth	WISE: a computer system performance index scoring framework
abstract	Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations.
abstractGer	Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations.
abstract_unstemmed	Abstract The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations.
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title_short	WISE: a computer system performance index scoring framework
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