InforLorV4, PascalFrancis, Corpus, bibRecord, 000012

Scheduling Strategies for Business Process Applications in Cloud Environments

Identifieur interne : 000012 ( PascalFrancis/Corpus ); précédent : 000011; suivant : 000013

Scheduling Strategies for Business Process Applications in Cloud Environments

Auteurs : Kahina Bessai ; Samir Youcef ; Ammar Oulamara ; Claude Godart ; Selmin Nurcan

Source :

International journal of grid and high performance computing : (Print) [ 1938-0259 ] ; 2013.

RBID : Pascal:14-0226064

Descripteurs français

Pascal (Inist)
- Gestion entreprise, Gestion intégrée, Calcul réparti, Extensibilité, Allocation ressource, Machine virtuelle, Gestion tâche, Processus métier, Guidage, Etude marché, Modèle entreprise, Ordonnancement, Programmation multiobjectif, ., Informatique dans les nuages, A la demande, Gestion ressources humaines.

English descriptors

KwdEn :
- Business model, Business process, Cloud computing, Distributed computing, Firm management, Guidance, Human resource management, Integrated management, Market survey, Multiobjective programming, On demand, Resource allocation, Scalability, Scheduling, Task scheduling, Virtual machine.

Abstract

The Cloud computing paradigm is adopted for its several advantages like reduction of cost incurred when using a set of resources. However, despite the many proven benefits of using a Cloud infrastructure to run business processes, it is still faced with a major problem that can compromise its success: the lack of guidance for choosing between multiple offerings. Moreover, when running business processes it is difficult to automate all tasks and several objectives often conflicting must be taken into account. For this, the authors propose a set of scheduling strategies for business processes in Cloud contexts. More precisely, the authors propose three bi-criteria complementary approaches for scheduling business processes on distributed Cloud resources while taking into account its elastic computing characteristic that allows users to allocate and release compute resources (virtual machines) on-demand and its business model based on pay as you go. Therefore, it is reasonable to assume that the number of virtual machine is infinite while the number of human resources is finite. Experiment results demonstrate that the proposed approaches present good performances.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 1938-0259`
A03		`1`		`@0 Int. j. grid high perform. computing : (Print)`
A05				`@2 5`
A06				`@2 4`
A08	`01`	`1`	`ENG`	`@1 Scheduling Strategies for Business Process Applications in Cloud Environments`
A09	`01`	`1`	`ENG`	`@1 SPECIAL ISSUE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE`
A11	`01`	`1`		`@1 BESSAI (Kahina)`
A11	`02`	`1`		`@1 YOUCEF (Samir)`
A11	`03`	`1`		`@1 OULAMARA (Ammar)`
A11	`04`	`1`		`@1 GODART (Claude)`
A11	`05`	`1`		`@1 NURCAN (Selmin)`
A12	`01`	`1`		`@1 HSU (Ching-Hsien) @9 limin.`
A12	`02`	`1`		`@1 UDOH (Emmanuel) @9 limin.`
A14	`01`			`@1 Centre for Research in Computing (CRI), University of Paris 1 Panthéon-Sorbonne @2 Paris @3 FRA @Z 1 aut. @Z 5 aut.`
A14	`02`			`@1 LORIA-INRIA-UMR 7503, University of Lorraine @2 Nancy @3 FRA @Z 2 aut. @Z 3 aut. @Z 4 aut.`
A15	`01`			`@1 Department of Computer Science and Information Engineering, Chung Hua University @2 Hsinchu City @3 TWN @Z 1 aut.`
A15	`02`			`@1 College of Information and Computer Technology, Sullivan University @2 Louisville, KY @3 USA @Z 2 aut.`
A20				`@1 65-78`
A21				`@1 2013`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 28333 @5 354000508237990040`
A44				`@0 0000 @1 © 2014 INIST-CNRS. All rights reserved.`
A45				`@0 3/4 p.`
A47	`01`	`1`		`@0 14-0226064`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 International journal of grid and high performance computing : (Print)`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 The Cloud computing paradigm is adopted for its several advantages like reduction of cost incurred when using a set of resources. However, despite the many proven benefits of using a Cloud infrastructure to run business processes, it is still faced with a major problem that can compromise its success: the lack of guidance for choosing between multiple offerings. Moreover, when running business processes it is difficult to automate all tasks and several objectives often conflicting must be taken into account. For this, the authors propose a set of scheduling strategies for business processes in Cloud contexts. More precisely, the authors propose three bi-criteria complementary approaches for scheduling business processes on distributed Cloud resources while taking into account its elastic computing characteristic that allows users to allocate and release compute resources (virtual machines) on-demand and its business model based on pay as you go. Therefore, it is reasonable to assume that the number of virtual machine is infinite while the number of human resources is finite. Experiment results demonstrate that the proposed approaches present good performances.
C02	`01`	`X`		`@0 001D02B07D`
C02	`02`	`X`		`@0 001D02B04`
C03	`01`	`X`	`FRE`	`@0 Gestion entreprise @5 06`
C03	`01`	`X`	`ENG`	`@0 Firm management @5 06`
C03	`01`	`X`	`SPA`	`@0 Administración empresa @5 06`
C03	`02`	`X`	`FRE`	`@0 Gestion intégrée @5 07`
C03	`02`	`X`	`ENG`	`@0 Integrated management @5 07`
C03	`02`	`X`	`SPA`	`@0 Gestión integrada @5 07`
C03	`03`	`X`	`FRE`	`@0 Calcul réparti @5 08`
C03	`03`	`X`	`ENG`	`@0 Distributed computing @5 08`
C03	`03`	`X`	`SPA`	`@0 Cálculo repartido @5 08`
C03	`04`	`X`	`FRE`	`@0 Extensibilité @5 09`
C03	`04`	`X`	`ENG`	`@0 Scalability @5 09`
C03	`04`	`X`	`SPA`	`@0 Estensibilidad @5 09`
C03	`05`	`X`	`FRE`	`@0 Allocation ressource @5 10`
C03	`05`	`X`	`ENG`	`@0 Resource allocation @5 10`
C03	`05`	`X`	`SPA`	`@0 Asignación recurso @5 10`
C03	`06`	`X`	`FRE`	`@0 Machine virtuelle @5 11`
C03	`06`	`X`	`ENG`	`@0 Virtual machine @5 11`
C03	`06`	`X`	`SPA`	`@0 Máquina virtual @5 11`
C03	`07`	`X`	`FRE`	`@0 Gestion tâche @5 12`
C03	`07`	`X`	`ENG`	`@0 Task scheduling @5 12`
C03	`07`	`X`	`SPA`	`@0 Gestión labor @5 12`
C03	`08`	`X`	`FRE`	`@0 Processus métier @5 18`
C03	`08`	`X`	`ENG`	`@0 Business process @5 18`
C03	`08`	`X`	`SPA`	`@0 Proceso oficio @5 18`
C03	`09`	`X`	`FRE`	`@0 Guidage @5 19`
C03	`09`	`X`	`ENG`	`@0 Guidance @5 19`
C03	`09`	`X`	`SPA`	`@0 Guiado @5 19`
C03	`10`	`X`	`FRE`	`@0 Etude marché @5 20`
C03	`10`	`X`	`ENG`	`@0 Market survey @5 20`
C03	`10`	`X`	`SPA`	`@0 Estudio mercado @5 20`
C03	`11`	`X`	`FRE`	`@0 Modèle entreprise @5 21`
C03	`11`	`X`	`ENG`	`@0 Business model @5 21`
C03	`11`	`X`	`SPA`	`@0 Modelo empresa @5 21`
C03	`12`	`X`	`FRE`	`@0 Ordonnancement @5 23`
C03	`12`	`X`	`ENG`	`@0 Scheduling @5 23`
C03	`12`	`X`	`SPA`	`@0 Reglamento @5 23`
C03	`13`	`X`	`FRE`	`@0 Programmation multiobjectif @5 24`
C03	`13`	`X`	`ENG`	`@0 Multiobjective programming @5 24`
C03	`13`	`X`	`SPA`	`@0 Programación multiobjetivo @5 24`
C03	`14`	`X`	`FRE`	`@0 . @4 INC @5 82`
C03	`15`	`X`	`FRE`	`@0 Informatique dans les nuages @4 CD @5 96`
C03	`15`	`X`	`ENG`	`@0 Cloud computing @4 CD @5 96`
C03	`15`	`X`	`SPA`	`@0 Computación en nube @4 CD @5 96`
C03	`16`	`X`	`FRE`	`@0 A la demande @4 CD @5 97`
C03	`16`	`X`	`ENG`	`@0 On demand @4 CD @5 97`
C03	`16`	`X`	`SPA`	`@0 A la carta @4 CD @5 97`
C03	`17`	`X`	`FRE`	`@0 Gestion ressources humaines @4 CD @5 98`
C03	`17`	`X`	`ENG`	`@0 Human resource management @4 CD @5 98`
C03	`17`	`X`	`SPA`	`@0 Gestión de recursos humanos @4 CD @5 98`
N21				`@1 272`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 14-0226064 INIST
ET :	Scheduling Strategies for Business Process Applications in Cloud Environments
AU :	BESSAI (Kahina); YOUCEF (Samir); OULAMARA (Ammar); GODART (Claude); NURCAN (Selmin); HSU (Ching-Hsien); UDOH (Emmanuel)
AF :	Centre for Research in Computing (CRI), University of Paris 1 Panthéon-Sorbonne/Paris/France (1 aut., 5 aut.); LORIA-INRIA-UMR 7503, University of Lorraine/Nancy/France (2 aut., 3 aut., 4 aut.); Department of Computer Science and Information Engineering, Chung Hua University/Hsinchu City/Taïwan (1 aut.); College of Information and Computer Technology, Sullivan University/Louisville, KY/Etats-Unis (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	International journal of grid and high performance computing : (Print); ISSN 1938-0259; Etats-Unis; Da. 2013; Vol. 5; No. 4; Pp. 65-78; Bibl. 3/4 p.
LA :	Anglais
EA :	The Cloud computing paradigm is adopted for its several advantages like reduction of cost incurred when using a set of resources. However, despite the many proven benefits of using a Cloud infrastructure to run business processes, it is still faced with a major problem that can compromise its success: the lack of guidance for choosing between multiple offerings. Moreover, when running business processes it is difficult to automate all tasks and several objectives often conflicting must be taken into account. For this, the authors propose a set of scheduling strategies for business processes in Cloud contexts. More precisely, the authors propose three bi-criteria complementary approaches for scheduling business processes on distributed Cloud resources while taking into account its elastic computing characteristic that allows users to allocate and release compute resources (virtual machines) on-demand and its business model based on pay as you go. Therefore, it is reasonable to assume that the number of virtual machine is infinite while the number of human resources is finite. Experiment results demonstrate that the proposed approaches present good performances.
CC :	001D02B07D; 001D02B04
FD :	Gestion entreprise; Gestion intégrée; Calcul réparti; Extensibilité; Allocation ressource; Machine virtuelle; Gestion tâche; Processus métier; Guidage; Etude marché; Modèle entreprise; Ordonnancement; Programmation multiobjectif; .; Informatique dans les nuages; A la demande; Gestion ressources humaines
ED :	Firm management; Integrated management; Distributed computing; Scalability; Resource allocation; Virtual machine; Task scheduling; Business process; Guidance; Market survey; Business model; Scheduling; Multiobjective programming; Cloud computing; On demand; Human resource management
SD :	Administración empresa; Gestión integrada; Cálculo repartido; Estensibilidad; Asignación recurso; Máquina virtual; Gestión labor; Proceso oficio; Guiado; Estudio mercado; Modelo empresa; Reglamento; Programación multiobjetivo; Computación en nube; A la carta; Gestión de recursos humanos
LO :	INIST-28333.354000508237990040
ID :	14-0226064

Links to Exploration step

Pascal:14-0226064

Le document en format XML

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<front><div type="abstract" xml:lang="en">The Cloud computing paradigm is adopted for its several advantages like reduction of cost incurred when using a set of resources. However, despite the many proven benefits of using a Cloud infrastructure to run business processes, it is still faced with a major problem that can compromise its success: the lack of guidance for choosing between multiple offerings. Moreover, when running business processes it is difficult to automate all tasks and several objectives often conflicting must be taken into account. For this, the authors propose a set of scheduling strategies for business processes in Cloud contexts. More precisely, the authors propose three bi-criteria complementary approaches for scheduling business processes on distributed Cloud resources while taking into account its elastic computing characteristic that allows users to allocate and release compute resources (virtual machines) on-demand and its business model based on pay as you go. Therefore, it is reasonable to assume that the number of virtual machine is infinite while the number of human resources is finite. Experiment results demonstrate that the proposed approaches present good performances.</div>
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<fC03 i1="01" i2="X" l="ENG"><s0>Firm management</s0>
<s5>06</s5>
</fC03>
<fC03 i1="01" i2="X" l="SPA"><s0>Administración empresa</s0>
<s5>06</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Gestion intégrée</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Integrated management</s0>
<s5>07</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Gestión integrada</s0>
<s5>07</s5>
</fC03>
<fC03 i1="03" i2="X" l="FRE"><s0>Calcul réparti</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Distributed computing</s0>
<s5>08</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Cálculo repartido</s0>
<s5>08</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Extensibilité</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Scalability</s0>
<s5>09</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Estensibilidad</s0>
<s5>09</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Allocation ressource</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Resource allocation</s0>
<s5>10</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Asignación recurso</s0>
<s5>10</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Machine virtuelle</s0>
<s5>11</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Virtual machine</s0>
<s5>11</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Máquina virtual</s0>
<s5>11</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Gestion tâche</s0>
<s5>12</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Task scheduling</s0>
<s5>12</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Gestión labor</s0>
<s5>12</s5>
</fC03>
<fC03 i1="08" i2="X" l="FRE"><s0>Processus métier</s0>
<s5>18</s5>
</fC03>
<fC03 i1="08" i2="X" l="ENG"><s0>Business process</s0>
<s5>18</s5>
</fC03>
<fC03 i1="08" i2="X" l="SPA"><s0>Proceso oficio</s0>
<s5>18</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Guidage</s0>
<s5>19</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Guidance</s0>
<s5>19</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Guiado</s0>
<s5>19</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Etude marché</s0>
<s5>20</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Market survey</s0>
<s5>20</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Estudio mercado</s0>
<s5>20</s5>
</fC03>
<fC03 i1="11" i2="X" l="FRE"><s0>Modèle entreprise</s0>
<s5>21</s5>
</fC03>
<fC03 i1="11" i2="X" l="ENG"><s0>Business model</s0>
<s5>21</s5>
</fC03>
<fC03 i1="11" i2="X" l="SPA"><s0>Modelo empresa</s0>
<s5>21</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Ordonnancement</s0>
<s5>23</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Scheduling</s0>
<s5>23</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Reglamento</s0>
<s5>23</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Programmation multiobjectif</s0>
<s5>24</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Multiobjective programming</s0>
<s5>24</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Programación multiobjetivo</s0>
<s5>24</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>.</s0>
<s4>INC</s4>
<s5>82</s5>
</fC03>
<fC03 i1="15" i2="X" l="FRE"><s0>Informatique dans les nuages</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="15" i2="X" l="ENG"><s0>Cloud computing</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="15" i2="X" l="SPA"><s0>Computación en nube</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="16" i2="X" l="FRE"><s0>A la demande</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="16" i2="X" l="ENG"><s0>On demand</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="16" i2="X" l="SPA"><s0>A la carta</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="17" i2="X" l="FRE"><s0>Gestion ressources humaines</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC03 i1="17" i2="X" l="ENG"><s0>Human resource management</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fC03 i1="17" i2="X" l="SPA"><s0>Gestión de recursos humanos</s0>
<s4>CD</s4>
<s5>98</s5>
</fC03>
<fN21><s1>272</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 14-0226064 INIST</NO>
<ET>Scheduling Strategies for Business Process Applications in Cloud Environments</ET>
<AU>BESSAI (Kahina); YOUCEF (Samir); OULAMARA (Ammar); GODART (Claude); NURCAN (Selmin); HSU (Ching-Hsien); UDOH (Emmanuel)</AU>
<AF>Centre for Research in Computing (CRI), University of Paris 1 Panthéon-Sorbonne/Paris/France (1 aut., 5 aut.); LORIA-INRIA-UMR 7503, University of Lorraine/Nancy/France (2 aut., 3 aut., 4 aut.); Department of Computer Science and Information Engineering, Chung Hua University/Hsinchu City/Taïwan (1 aut.); College of Information and Computer Technology, Sullivan University/Louisville, KY/Etats-Unis (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>International journal of grid and high performance computing : (Print); ISSN 1938-0259; Etats-Unis; Da. 2013; Vol. 5; No. 4; Pp. 65-78; Bibl. 3/4 p.</SO>
<LA>Anglais</LA>
<EA>The Cloud computing paradigm is adopted for its several advantages like reduction of cost incurred when using a set of resources. However, despite the many proven benefits of using a Cloud infrastructure to run business processes, it is still faced with a major problem that can compromise its success: the lack of guidance for choosing between multiple offerings. Moreover, when running business processes it is difficult to automate all tasks and several objectives often conflicting must be taken into account. For this, the authors propose a set of scheduling strategies for business processes in Cloud contexts. More precisely, the authors propose three bi-criteria complementary approaches for scheduling business processes on distributed Cloud resources while taking into account its elastic computing characteristic that allows users to allocate and release compute resources (virtual machines) on-demand and its business model based on pay as you go. Therefore, it is reasonable to assume that the number of virtual machine is infinite while the number of human resources is finite. Experiment results demonstrate that the proposed approaches present good performances.</EA>
<CC>001D02B07D; 001D02B04</CC>
<FD>Gestion entreprise; Gestion intégrée; Calcul réparti; Extensibilité; Allocation ressource; Machine virtuelle; Gestion tâche; Processus métier; Guidage; Etude marché; Modèle entreprise; Ordonnancement; Programmation multiobjectif; .; Informatique dans les nuages; A la demande; Gestion ressources humaines</FD>
<ED>Firm management; Integrated management; Distributed computing; Scalability; Resource allocation; Virtual machine; Task scheduling; Business process; Guidance; Market survey; Business model; Scheduling; Multiobjective programming; Cloud computing; On demand; Human resource management</ED>
<SD>Administración empresa; Gestión integrada; Cálculo repartido; Estensibilidad; Asignación recurso; Máquina virtual; Gestión labor; Proceso oficio; Guiado; Estudio mercado; Modelo empresa; Reglamento; Programación multiobjetivo; Computación en nube; A la carta; Gestión de recursos humanos</SD>
<LO>INIST-28333.354000508237990040</LO>
<ID>14-0226064</ID>
</server>
</inist>
</record>

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Scheduling Strategies for Business Process Applications in Cloud Environments

Scheduling Strategies for Business Process Applications in Cloud Environments

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