Server scheduling to balance priorieties, fairness, and average qualityof service

N. Bansal; K.R. Pruhs

doi:10.1137/090772228

Server scheduling to balance priorieties, fairness, and average qualityof service

N. Bansal
, K.R. Pruhs

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

39 Citaten (Scopus)

332 Downloads (Pure)

Samenvatting

Often server systems do not implement the best known algorithms for optimizing average Quality of Service (QoS) out of concern that these algorithms may be insufficiently fair to individual jobs. The standard method for balancing average QoS and fairness is to optimize the $\ell_p$ norm, $1

Originele taal-2	Engels
Pagina's (van-tot)	3311-3335
Tijdschrift	SIAM Journal on Computing
Volume	39
Nummer van het tijdschrift	7
DOI's	https://doi.org/10.1137/090772228
Status	Gepubliceerd - 2010

Toegang tot document

10.1137/090772228

Metis244836Definitieve gepubliceerde versie, 329 KB

Citeer dit

@article{16b95b1350c34537abcebb00e73b8dc3,

title = "Server scheduling to balance priorieties, fairness, and average qualityof service",

abstract = "Often server systems do not implement the best known algorithms for optimizing average Quality of Service (QoS) out of concern that these algorithms may be insufficiently fair to individual jobs. The standard method for balancing average QoS and fairness is to optimize the \$\textbackslash{}ell\_p\$ norm, \$1",

author = "N. Bansal and K.R. Pruhs",

year = "2010",

doi = "10.1137/090772228",

language = "English",

volume = "39",

pages = "3311--3335",

journal = "SIAM Journal on Computing",

issn = "0097-5397",

publisher = "Society for Industrial and Applied Mathematics (SIAM)",

number = "7",

}

TY - JOUR

T1 - Server scheduling to balance priorieties, fairness, and average qualityof service

AU - Bansal, N.

AU - Pruhs, K.R.

PY - 2010

Y1 - 2010

N2 - Often server systems do not implement the best known algorithms for optimizing average Quality of Service (QoS) out of concern that these algorithms may be insufficiently fair to individual jobs. The standard method for balancing average QoS and fairness is to optimize the $\ell_p$ norm, $1

AB - Often server systems do not implement the best known algorithms for optimizing average Quality of Service (QoS) out of concern that these algorithms may be insufficiently fair to individual jobs. The standard method for balancing average QoS and fairness is to optimize the $\ell_p$ norm, $1

U2 - 10.1137/090772228

DO - 10.1137/090772228

M3 - Article

SN - 0097-5397

VL - 39

SP - 3311

EP - 3335

JO - SIAM Journal on Computing

JF - SIAM Journal on Computing

IS - 7

ER -

Server scheduling to balance priorieties, fairness, and average qualityof service

Samenvatting

Toegang tot document

Vingerafdruk

Citeer dit