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Conference Paper: Performance models of access latency in cloud storage systems
Title | Performance models of access latency in cloud storage systems |
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Authors | |
Keywords | Access latency Erasure codes MDS property Degraded reads Computation cost |
Issue Date | 2014 |
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? |
Abstract | Access 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 Identifier | http://hdl.handle.net/10722/204118 |
DC Field | Value | Language |
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dc.contributor.author | Shuai, Q | en_US |
dc.contributor.author | Li, VOK | en_US |
dc.contributor.author | Zhu, Y | en_US |
dc.date.accessioned | 2014-09-19T20:06:14Z | - |
dc.date.available | 2014-09-19T20:06:14Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.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. | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/204118 | - |
dc.description.abstract | Access 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.language | eng | en_US |
dc.relation.ispartof | Proceedings of 4th Workshop on Architectures and Systems for Big Data, ASBD 2014 | en_US |
dc.subject | Access latency | - |
dc.subject | Erasure codes | - |
dc.subject | MDS property | - |
dc.subject | Degraded reads | - |
dc.subject | Computation cost | - |
dc.title | Performance models of access latency in cloud storage systems | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | en_US |
dc.identifier.email | Zhu, Y: yxzhu@eee.hku.hk | en_US |
dc.identifier.authority | Li, VOK=rp00150 | en_US |
dc.description.nature | postprint | - |
dc.identifier.hkuros | 240502 | en_US |