{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1361699993607722368.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1145/2007477.1952700"}},{"identifier":{"@type":"URI","@value":"https://dl.acm.org/doi/10.1145/2007477.1952700"}},{"identifier":{"@type":"URI","@value":"https://dl.acm.org/doi/pdf/10.1145/2007477.1952700"}}],"dc:title":[{"@value":"Workload-aware live storage migration for clouds"}],"description":[{"type":"abstract","notation":[{"@value":"<jats:p>The emerging open cloud computing model will provide users with great freedom to dynamically migrate virtualized computing services to, from, and between clouds over the wide-area. While this freedom leads to many potential benefits, the running services must be minimally disrupted by the migration. Unfortunately, current solutions for wide-area migration incur too much disruption as they will significantly slow down storage I/O operations during migration. The resulting increase in service latency could be very costly to a business. This paper presents a novel storage migration scheduling algorithm that can greatly improve storage I/O performance during wide-area migration. Our algorithm is unique in that it considers individual virtual machine's storage I/O workload such as temporal locality, spatial locality and popularity characteristics to compute an efficient data transfer schedule. Using a fully implemented system on KVM and a trace-driven framework, we show that our algorithm provides large performance benefits across a wide range of popular virtual machine workloads.</jats:p>"}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1381699993607722370","@type":"Researcher","foaf:name":[{"@value":"Jie Zheng"}],"jpcoar:affiliationName":[{"@value":"Rice University, Houston, USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699993607722368","@type":"Researcher","foaf:name":[{"@value":"Tze Sing Eugene Ng"}],"jpcoar:affiliationName":[{"@value":"Rice University, Houston, USA"}]},{"@id":"https://cir.nii.ac.jp/crid/1381699993607722369","@type":"Researcher","foaf:name":[{"@value":"Kunwadee Sripanidkulchai"}],"jpcoar:affiliationName":[{"@value":"National Electronics and Computer Technology Center, Pathumthani, Thailand"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"03621340"},{"@type":"EISSN","@value":"15581160"}],"prism:publicationName":[{"@value":"ACM SIGPLAN Notices"}],"dc:publisher":[{"@value":"Association for Computing Machinery (ACM)"}],"prism:publicationDate":"2011-03-09","prism:volume":"46","prism:number":"7","prism:startingPage":"133","prism:endingPage":"144"},"reviewed":"false","dc:rights":["https://www.acm.org/publications/policies/copyright_policy#Background"],"url":[{"@id":"https://dl.acm.org/doi/10.1145/2007477.1952700"},{"@id":"https://dl.acm.org/doi/pdf/10.1145/2007477.1952700"}],"createdAt":"2011-07-21","modifiedAt":"2025-06-18","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1390001204379279232","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@language":"en","@value":"A WAN-Optimized Live Storage Migration Mechanism toward Virtual Machine Evacuation upon Severe Disasters"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1145/2007477.1952700"},{"@type":"CROSSREF","@value":"10.1587/transinf.e96.d.2663_references_DOI_Hiz2e64dl7O0ccZc7dnGcuzESCm"}]}