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Dynamic Replication Management Scheme for Cloud Storage

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dc.contributor.author Thu, May Phyo
dc.contributor.author Nwe, Khine Moe
dc.contributor.author Aye, Kyar Nyo
dc.date.accessioned 2019-07-16T06:28:44Z
dc.date.available 2019-07-16T06:28:44Z
dc.date.issued 2017-11-01
dc.identifier.isbn 978-99971-0-381-9
dc.identifier.uri https://onlineresource.ucsy.edu.mm/handle/123456789/915
dc.description.abstract Nowadays, replication technique is widely used in data center storage systems to prevent data loss. Data popularity is a key factor in data replication as popular files are accessed most frequently and then they become unstable and unpredictable. Moreover, replicas placement is one of key issues that affect the performance of the system such as load balancing, data locality etc. Data locality is a fundamental problem to data-parallel applications that often happens (i.e., a data block should be copied to the processing node when a processing node does not possess the data block in its local storage), and this problem leads to the decrease in performance. To address these challenges, this paper proposes a dynamic replication management scheme based on data popularity and data locality; it includes replica allocation and replica placement algorithms. Data locality, disk bandwidth, CPU processing speed and storage utilization are considered in the proposed data placement algorithm in order to achieve better data locality and load balancing effectively. Our proposed scheme will be effective for large-scale cloud storage. en_US
dc.language.iso en en_US
dc.publisher 1st International Conference on Advanced Information Technologies (ICAIT), Yangon en_US
dc.subject Replication en_US
dc.subject Data Popularity en_US
dc.subject Data Locality en_US
dc.subject Storage Utilization en_US
dc.subject Disk Bandwidth en_US
dc.title Dynamic Replication Management Scheme for Cloud Storage en_US
dc.type Article en_US


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