2012 IEEE 18th International Conference on Parallel and Distributed Systems 2012
DOI: 10.1109/icpads.2012.35
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AREN: A Popularity Aware Replication Scheme for Cloud Storage

Abstract: Delivering on-demand web content to end-users in order to carry out strict QoS metrics is not a trivial task for globally distributed network providers. This task becomes still harder when content popularity varies over the time and the SLA definitions have to include both transfer rate and latency metrics. Current worldwide content delivery approaches and datacenter infrastructures rely on cumbersome replication schemes that are agnostic to edge-network resources, and damage content provision. In this work we… Show more

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Cited by 17 publications
(14 citation statements)
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“…The strong point of Skute is the provision of replication management scheme to evaluate replica prices and revenue across different geographic locations that relies on equilibrium analysis of data placement. However, the approach is not appropriate for high-quality content delivery, because of inaccurate transfer rate allocation [82]. Moreover, the entries of the routing tables are potentially very large that cause lookup time to increase.…”
Section: Data Replication Approachesmentioning
confidence: 98%
See 1 more Smart Citation
“…The strong point of Skute is the provision of replication management scheme to evaluate replica prices and revenue across different geographic locations that relies on equilibrium analysis of data placement. However, the approach is not appropriate for high-quality content delivery, because of inaccurate transfer rate allocation [82]. Moreover, the entries of the routing tables are potentially very large that cause lookup time to increase.…”
Section: Data Replication Approachesmentioning
confidence: 98%
“…Lack of efficient indexing techniques limits cloud based storage services, such as Amazon S3 and Azure Blob to Zhang et al [79] (indexing approach for managing data stored over cloud) Tiwari et al [82] (developed a framework to deploy database as a service) Chang et al [83] (design and implementation of big-table) Cooper et al [85] (proposed PNUTS, a massive scaled database system) Simmhan et al [86] (built a workbench for data management in the cloud) Isared et al [89] (distributed-execution system for coarse-grain data-parallel applications)…”
Section: Data Management Approaches and Systemsmentioning
confidence: 99%
“…Last but not least, this modules keeps and exports an address table, including BD to global pseudonetwork address mapping, to easy usage and provide transparency of multihoming network functionality. Evaluations with deadline enforcement and multihoming functionalities have been omitted from this work due to space constraints, but are available on our previous works [8] and [9]. …”
Section: A Network Layermentioning
confidence: 99%
“…More details about its functioning are available on the component repository [3]. Further evaluations and usage details of its functionalities in terms of deadline-aware services and transfer rate enforcement are available on previous works [8] and [9], where we study SLA-based resource allocation in edge networks. The remaining sections are organised as follows.…”
Section: Introductionmentioning
confidence: 99%
“…Many of them focus just on satisfying the availability SLO [10], [11]. In a typical cloud environment, where frequent queries are placed on a largescale data, having low response time is crucial for the tenants.…”
Section: Introductionmentioning
confidence: 99%