Identifying Dynamic Replication Strategies for a High-Performance Data Grid
GRID '01 Proceedings of the Second International Workshop on Grid Computing
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OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
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A Weight-Based Dynamic Replica Replacement Strategy in Data Grids
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On Fairness, Optimizing Replica Selection in Data Grids
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Agent Based Replica Placement in a Data Grid Environement
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The impact of data replication on job scheduling performance in the Data Grid
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Dynamic Period vs Static Period in Data Grid Replication
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An Efficient Replication Strategy for Dynamic Data Grids
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Distributed Popularity Based Replica Placement in Data Grid Environments
PDCAT '10 Proceedings of the 2010 International Conference on Parallel and Distributed Computing, Applications and Technologies
Enhanced Fast Spread Replication strategy for Data Grid
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Queueing Theory: A Linear Algebraic Approach
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QoS-Aware Distributed Replica Placement in Hierarchical Data Grids
AINA '11 Proceedings of the 2011 IEEE International Conference on Advanced Information Networking and Applications
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International Journal of Cloud Applications and Computing
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International Journal of Cloud Applications and Computing
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Efficiency in term of time consumption and effectiveness in resources utilization are the desired quality attributes in cloud services provision. The main purpose of which is to execute jobs optimally, i.e., with minimum average waiting, turnaround and response time by using effective scheduling technique. Replication provides improved availability and scalability; decreases bandwidth use and increases fault tolerance. To speed up access, file can be replicated so a user can access a nearby replica. This paper proposes architecture to convert Globally One Cloud to Locally Many Clouds. By combining replication and scheduling, this architecture improves efficiency and easy accessibility. In the case of failure of one sub cloud or one cloud service, clients can start using another cloud under "failover" techniques. As a result, no one cloud service will go down.