Resources allocation and scheduling approaches for business process applications in Cloud contexts
Identifieur interne : 001823 ( Main/Exploration ); précédent : 001822; suivant : 001824Resources allocation and scheduling approaches for business process applications in Cloud contexts
Auteurs : Kahina Bessai [France] ; Samir Youcef [France] ; Ammar Oulamara [France] ; Claude Godart [France] ; Selmin Nurcan [France]Source :
English descriptors
Abstract
In the last years, the Cloud computing environment has emerged as new execution support of business process. However, despite the proven benefits of using Cloud to run business process, users lack guidance for choosing between multiple offerings while taking into account several objectives, which are often conflicting. On the other side, elastic computing, such as Amazon EC2, allows users to allocate and release compute resources (virtual machines) on-demand and pay only for what they use. Therefore, it is reasonable to assume that the number of virtual machines is infinite. This feature of Clouds has been called "illusion of infinite resources''. Moreover, including human resources in the business process execution process make the automated execution of workflow difficult, due to the fact that the number of human resources is finite. In this paper, we develop an allocation strategy for Cloud computing platform taking into account the above characteristics. More precisely, we propose three complementary bi-criterion approaches for resources allocation and scheduling of business process on distributed Cloud resources.
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Le document en format XML
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="IdRef">02636817X</idno><idno type="ISNI">0000000122597504</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author><author><name sortKey="Nurcan, Selmin" sort="Nurcan, Selmin" uniqKey="Nurcan S" first="Selmin" last="Nurcan">Selmin Nurcan</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-74131" status="VALID"><orgName>Centre de Recherche en Informatique de Paris 1</orgName><orgName type="acronym">CRI</orgName><desc><address><addrLine>Université Paris 1 Panthéon-Sorbonne 90 rue de Tolbiac 75013 Paris Pays FR</addrLine><country key="FR"></country></address><ref type="url">http://crinfo.univ-paris1.fr/</ref></desc><listRelation><relation active="#struct-7550" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-7550" type="direct"><org type="institution" xml:id="struct-7550" status="VALID"><orgName>Université Panthéon-Sorbonne</orgName><orgName type="acronym">UP1</orgName><desc><address><addrLine>12 place du Panthéon - 75231 Paris Cedex 05</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-paris1.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Cloud computing</term><term>bi-objective optimization</term><term>business process</term><term>scheduling</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In the last years, the Cloud computing environment has emerged as new execution support of business process. However, despite the proven benefits of using Cloud to run business process, users lack guidance for choosing between multiple offerings while taking into account several objectives, which are often conflicting. On the other side, elastic computing, such as Amazon EC2, allows users to allocate and release compute resources (virtual machines) on-demand and pay only for what they use. Therefore, it is reasonable to assume that the number of virtual machines is infinite. This feature of Clouds has been called "illusion of infinite resources''. Moreover, including human resources in the business process execution process make the automated execution of workflow difficult, due to the fact that the number of human resources is finite. In this paper, we develop an allocation strategy for Cloud computing platform taking into account the above characteristics. More precisely, we propose three complementary bi-criterion approaches for resources allocation and scheduling of business process on distributed Cloud resources.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><noRegion><name sortKey="Bessai, Kahina" sort="Bessai, Kahina" uniqKey="Bessai K" first="Kahina" last="Bessai">Kahina Bessai</name></noRegion><name sortKey="Godart, Claude" sort="Godart, Claude" uniqKey="Godart C" first="Claude" last="Godart">Claude Godart</name><name sortKey="Nurcan, Selmin" sort="Nurcan, Selmin" uniqKey="Nurcan S" first="Selmin" last="Nurcan">Selmin Nurcan</name><name sortKey="Oulamara, Ammar" sort="Oulamara, Ammar" uniqKey="Oulamara A" first="Ammar" last="Oulamara">Ammar Oulamara</name><name sortKey="Youcef, Samir" sort="Youcef, Samir" uniqKey="Youcef S" first="Samir" last="Youcef">Samir Youcef</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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