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QoS-aware replica placement for data intensive applications

The Journal of China Universities of Posts and Telecommunications 2013年第3期20卷 43-47页

作者： FU Xiong ZHU Xin-xin HAN Jing-yu WANG Ru-chuan School of of Computer Nanjing University of Posts and Telecommunications

In recent years, with the rapid development of data intensive applications, data replication has become an enabling technology for the data grid to improve data availability, and reduce file transfer time and bandwidth consumption. The placement of replicas has been proven to be the most difficult problem that must be solved to realize the process of data replication. This paper addresses the quality of service （QoS） aware replica placement problem in data grid, and proposes a dynamic programming based replica placement algorithm that not only has a QoS requirement guarantee, but also can minimize the overall replication cost, including storage cost and communication cost. By simulation, experiments show that the replica placement algorithm outperforms an existing popular replica placement technique in data grid.

关键词： data grids data replication replica placement dynamic programming

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QoS-awared replica placement techniques in data grid applications

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Science China(Information Sciences) 2010年第8期53卷 1487-1496页

作者： XIAO Nong, FU Wei & LU XiCheng School of Computer, National University of Defense Technology, Changsha 410073, China School of Computer National University of Defense Technology

Quality of service is one of the most important factors for successful grid applications. However, individual QoS constraint (IQC) and QoS-awared replica placement have not yet been well addressed in the existing data grid. Existing QoS-awared replica placement algorithms neither can support multiple QoS attributes, nor have good scalability. In this paper, a three-phrase QoS-awared replica placement algorithm based on matrix, namely TP-GABMAC, is presented to solve these problems. Furthermore, a replica ring mechanism is introduced to maintain replica consistency and manage update conflicting. Experiments and analysis demonstrate that the proposed algorithms are not only stable and scalable, but also work well under different network topologies, access patterns and workloads.

关键词： grid data grid QoS-awared replica placement replica ring

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replication Strategy with Comprehensive Data Center Selection Method in Cloud Environments

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Computers, Materials & Continua 2023年第1期74卷 415-433页

作者： M.A.Fazlina Rohaya Latip Hamidah Ibrahim Azizol Abdullah Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSerdang43400SelangorMalaysia

As the amount of data continues to grow rapidly,the variety of data produced by applications is becoming more affluent than *** computing is the best technology evolving today to provide multi-services for the mass and variety of *** cloud computing features are capable of processing,managing,and storing all sorts of *** data is stored in many high-end nodes,either in the same data centers or across many data centers in cloud,performance issues are still *** cloud replication strategy is one of best solutions to address risk of performance degradation in the cloud *** real challenge here is developing the right data replication strategy with minimal data movement that guarantees efficient network usage,low fault tolerance,and minimal replication *** key problem discussed in this research is inefficient network usage discovered during selecting a suitable data center to store replica copies induced by inadequate data center selection ***,to mitigate the issue,we proposed replication Strategy with a comprehensive Data Center Selection Method(RS-DCSM),which can determine the appropriate data center to place replicas by considering three key factors:Popularity,space availability,and *** proposed RS-DCSM was simulated using CloudSim and the results proved that data movement between data centers is significantly reduced by 14%reduction in overall replication frequency and 20%decrement in network usage,which outperformed the current replication strategy,known as Dynamic Popularity aware replication Strategy(DPRS)algorithm.

关键词： Cloud computing data replication replica placement data center merits replication algorithm

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