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dc.contributor.authorSeshadri, Sangeetha
dc.contributor.authorLiu, Ling
dc.contributor.authorChiu, Lawrence
dc.contributor.authorConstantinescu, Cornel
dc.contributor.authorBalachandran, Subashini
dc.date.accessioned2008-02-27T22:36:36Z
dc.date.available2008-02-27T22:36:36Z
dc.date.issued2007
dc.identifier.urihttp://hdl.handle.net/1853/20116
dc.description.abstractIn this paper we present a recovery-conscious framework for improving the fault resiliency and recovery efficiency of highly concurrent embedded storage software systems. Our framework consists of a three-tier architecture and a suite of recovery conscious techniques. In the top tier, we promote fine-grained recovery at the task level by introducing recovery groups to model recovery dependencies between tasks. At the middle tier we develop highly effective mappings of dependent tasks to processor resources through careful tuning of recovery efficiency sensitive parameters. At the bottom tier, we advocate the use of recovery-conscious scheduling by careful serialization of dependent tasks, which provides high recovery efficiency without sacrificing system performance. We develop a formal model to guide the understanding and the development of techniques for effectively mapping fine-grained tasks to system resources, aiming at reducing the ripple effect of software failures while sustaining high performance even during system recovery. Our techniques have been implemented on a real industry-standard storage system. Experimental results show that our techniques are effective, non-intrusive and can significantly boost system resilience while delivering high performance.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesCERCS; GIT-CERCS-07-21en_US
dc.subjectAvailabilityen_US
dc.subjectFault resilienceen_US
dc.subjectPerformanceen_US
dc.subjectSoftwareen_US
dc.subjectStorageen_US
dc.titleA Recovery Conscious Framework for Fault Resilient Storage Systemsen_US
dc.typeTechnical Reporten_US


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