File Download
Supplementary

Conference Paper: Performance models of access latency in cloud storage systems

TitlePerformance models of access latency in cloud storage systems
Authors
KeywordsAccess latency
Erasure codes
MDS property
Degraded reads
Computation cost
Issue Date2014
Citation
The 4th Workshop on Architectures and Systems for Big Data (ASBD 2014) held in conjunction with The 41st International Symposium on Computer Architecture (ISCA 2014), Minneapolis, MN., 15 June 2014. How to Cite?
AbstractAccess latency is a key performance metric for cloud storage systems and has great impact on user experience, but most papers focus on other performance metrics such as storage overhead, repair cost and so on. Only recently do some models argue that coding can reduce access latency. However, they are developed for special scenarios, which may not reflect reality. To fill the gaps between existing work and practice, in this paper, we propose a more practical model to measure access latency. This model can also be used to compare access latency of different codes used by different companies. To the best of our knowledge, this model is the first to provide a general method to compare access latencies of different erasure codes.
Persistent Identifierhttp://hdl.handle.net/10722/204118

 

DC FieldValueLanguage
dc.contributor.authorShuai, Qen_US
dc.contributor.authorLi, VOKen_US
dc.contributor.authorZhu, Yen_US
dc.date.accessioned2014-09-19T20:06:14Z-
dc.date.available2014-09-19T20:06:14Z-
dc.date.issued2014en_US
dc.identifier.citationThe 4th Workshop on Architectures and Systems for Big Data (ASBD 2014) held in conjunction with The 41st International Symposium on Computer Architecture (ISCA 2014), Minneapolis, MN., 15 June 2014.en_US
dc.identifier.urihttp://hdl.handle.net/10722/204118-
dc.description.abstractAccess latency is a key performance metric for cloud storage systems and has great impact on user experience, but most papers focus on other performance metrics such as storage overhead, repair cost and so on. Only recently do some models argue that coding can reduce access latency. However, they are developed for special scenarios, which may not reflect reality. To fill the gaps between existing work and practice, in this paper, we propose a more practical model to measure access latency. This model can also be used to compare access latency of different codes used by different companies. To the best of our knowledge, this model is the first to provide a general method to compare access latencies of different erasure codes.-
dc.languageengen_US
dc.relation.ispartofProceedings of 4th Workshop on Architectures and Systems for Big Data, ASBD 2014en_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAccess latency-
dc.subjectErasure codes-
dc.subjectMDS property-
dc.subjectDegraded reads-
dc.subjectComputation cost-
dc.titlePerformance models of access latency in cloud storage systemsen_US
dc.typeConference_Paperen_US
dc.identifier.emailLi, VOK: vli@eee.hku.hken_US
dc.identifier.emailZhu, Y: yxzhu@eee.hku.hken_US
dc.identifier.authorityLi, VOK=rp00150en_US
dc.description.naturepostprint-
dc.identifier.hkuros240502en_US

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats