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dc.contributor.author | An, Kyoungho |
dc.contributor.author | Caglar, Faruk |
dc.contributor.author | Shekhar, Shashank |
dc.contributor.author | Gokhale, Aniruddha |
dc.contributor.editor | García Valls, Marisol |
dc.contributor.editor | Cucinotta, Tommaso |
dc.date.accessioned | 2013-11-15T10:31:22Z |
dc.date.available | 2013-11-15T10:31:22Z |
dc.date.issued | 2012-12-04 |
dc.identifier.bibliographicCitation | REACTION 2012, co-located with IEEE RTSS. San Juan, Puerto Rico. December 4th, 2012. Universidad Carlos III de Madrid, 2012, pp. 39-44 |
dc.identifier.uri | http://hdl.handle.net/10016/17930 |
dc.description | REACTION 2012. 1st International workshop on Real-time and distributed computing in emerging applications. December 4th, 2012, San Juan, Puerto Rico. |
dc.description.abstract | Applications are increasingly being deployed in the Cloud due to benefits stemming from economy of scale, scalability, flexibility and utility-based pricing model. Although most cloud-based applications have hitherto been enterprisestyle, there is a new trend towards hosting performancesensitive applications in the cloud that demand both high availability and good response times. In the current stateof- the-art in cloud computing research, there does not exist solutions that provide both high availability and acceptable response times to these applications in a way that also optimizes resource consumption in data centers, which is a key consideration for cloud providers. This paper addresses this dual challenge by presenting a design of a fault-tolerant framework for virtualized data centers that makes two important contributions. First, it describes an architecture of a fault-tolerance framework that can be used to automatically deploy replicas of virtual machines in data centers in a way that optimizes resources while assures availability and responsiveness. Second, it describes a specific formulation of a replica deployment combinatorial optimization problem that can be plugged into our strategizable deployment framework. |
dc.description.sponsorship | This work was supported in part by the National Science Foundation NSF SHF/CNS Award CNS 0915976 and NSF CAREER CNS 0845789. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. |
dc.format.extent | 6 |
dc.format.mimetype | application/pdf |
dc.language.iso | eng |
dc.publisher | Universidad Carlos III de Madrid |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject.other | Fault-tolerance |
dc.subject.other | Cloud computing |
dc.subject.other | Framework |
dc.subject.other | Availability and response times |
dc.title | A Framework for Effective Placement of Virtual Machine Replicas for Highly Available Performance-sensitive Cloud-based Applications |
dc.type | conferenceObject |
dc.subject.eciencia | Telecomunicaciones |
dc.rights.accessRights | openAccess |
dc.type.version | publishedVersion |
dc.relation.eventdate | December 4, 2012 |
dc.relation.eventnumber | 1 |
dc.relation.eventplace | San Juan, Puerto Rico |
dc.relation.eventtitle | International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION) |
dc.relation.eventtype | proceeding |
dc.identifier.publicationfirstpage | 39 |
dc.identifier.publicationlastpage | 44 |
dc.identifier.publicationtitle | International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION, 2012) |
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