Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study

E.A. Nepovinnykh; G.I. Radchenko

doi:10.1109/MIPRO.2016.7522134

Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study

Publikation: Konferenzbeitrag › Papier › Begutachtung

Abstract

Today we see a significantly increased use of problem-oriented approach to the development of cloud computing environment scheduling algorithms. There are already several such algorithms. However, a lot of these require that the tasks within a single job are independent and do not account for the execution of each task and the volume of data transmitted. We propose a model of problem-oriented cloud environment. Using this model, we propose a list-based algorithm of problem-oriented planning of execution of applications in a cloud environment that considers the applications' execution profiles, based on a Heterogeneous Earliest-Finish-Time (HEFT) algorithm. © 2016 Croatian Society MIPRO.

Originalsprache	Englisch
Seiten	180-185
Seitenumfang	6
DOIs	https://doi.org/10.1109/MIPRO.2016.7522134
Publikationsstatus	Veröffentlicht - 2016
Veranstaltung	39th International Convention on Information and Communication Technology, Electronics and Microelectronics - Opatija, Kroatien Dauer: 30 Mai 2016 → 3 Juni 2016

Konferenz

Konferenz	39th International Convention on Information and Communication Technology, Electronics and Microelectronics
Kurztitel	MIPRO 2016
Land/Gebiet	Kroatien
Ort	Opatija
Zeitraum	30/05/16 → 3/06/16

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10.1109/MIPRO.2016.7522134

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983605248&doi=10.1109%2fMIPRO.2016.7522134&partnerID=40&md5=6fac39cdc537353587dfc6b15ee811f5

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@conference{3584e3858c8e4ed6bbeb8343b6d765a1,

title = "Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study",

abstract = "Today we see a significantly increased use of problem-oriented approach to the development of cloud computing environment scheduling algorithms. There are already several such algorithms. However, a lot of these require that the tasks within a single job are independent and do not account for the execution of each task and the volume of data transmitted. We propose a model of problem-oriented cloud environment. Using this model, we propose a list-based algorithm of problem-oriented planning of execution of applications in a cloud environment that considers the applications' execution profiles, based on a Heterogeneous Earliest-Finish-Time (HEFT) algorithm. {\textcopyright} 2016 Croatian Society MIPRO.",

keywords = "cloud computing, execution planning, grid computing, HEFT, scheduling, Algorithms, Cloud computing, Grid computing, Microelectronics, Scheduling, Cloud applications, Cloud computing environments, Cloud environments, Execution planning, Finish time, Scheduling algorithms",

author = "E.A. Nepovinnykh and G.I. Radchenko",

note = "Conference code: 123025 Cited By :3 Export Date: 27 August 2021; 39th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2016 ; Conference date: 30-05-2016 Through 03-06-2016",

year = "2016",

doi = "10.1109/MIPRO.2016.7522134",

language = "English",

pages = "180--185",

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TY - CONF

T1 - Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study

AU - Nepovinnykh, E.A.

AU - Radchenko, G.I.

N1 - Conference code: 123025 Cited By :3 Export Date: 27 August 2021

PY - 2016

Y1 - 2016

N2 - Today we see a significantly increased use of problem-oriented approach to the development of cloud computing environment scheduling algorithms. There are already several such algorithms. However, a lot of these require that the tasks within a single job are independent and do not account for the execution of each task and the volume of data transmitted. We propose a model of problem-oriented cloud environment. Using this model, we propose a list-based algorithm of problem-oriented planning of execution of applications in a cloud environment that considers the applications' execution profiles, based on a Heterogeneous Earliest-Finish-Time (HEFT) algorithm. © 2016 Croatian Society MIPRO.

AB - Today we see a significantly increased use of problem-oriented approach to the development of cloud computing environment scheduling algorithms. There are already several such algorithms. However, a lot of these require that the tasks within a single job are independent and do not account for the execution of each task and the volume of data transmitted. We propose a model of problem-oriented cloud environment. Using this model, we propose a list-based algorithm of problem-oriented planning of execution of applications in a cloud environment that considers the applications' execution profiles, based on a Heterogeneous Earliest-Finish-Time (HEFT) algorithm. © 2016 Croatian Society MIPRO.

KW - cloud computing

KW - execution planning

KW - grid computing

KW - HEFT

KW - scheduling

KW - Algorithms

KW - Cloud computing

KW - Grid computing

KW - Microelectronics

KW - Scheduling

KW - Cloud applications

KW - Cloud computing environments

KW - Cloud environments

KW - Execution planning

KW - Finish time

KW - Scheduling algorithms

U2 - 10.1109/MIPRO.2016.7522134

DO - 10.1109/MIPRO.2016.7522134

M3 - Paper

SP - 180

EP - 185

T2 - 39th International Convention on Information and Communication Technology, Electronics and Microelectronics

Y2 - 30 May 2016 through 3 June 2016

ER -

Problem-oriented scheduling of cloud applications: PO-HEFT algorithm case study

Abstract

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