Trends in data replication strategies: a survey

References

• Lamehamedi H , Szymanski B , Shentu Z , et al . Data replication strategies in grid environments. In: Proceedings of the 5th IEEE International Conference on Algorithms and Architectures for Parallel Processing. Beijing, China; 2002. p. 378–383.
   Google Scholar
• Nahir A , Orda A , Raz D . Replication-based load balancing. IEEE Trans Parallel Distrib Syst. 2016;27:494–507.
   Google Scholar
• Perkins CE , Bhagwat P . Highly dynamic destination-sequenced distance-vector routing (DSDV) for mobile computers. In: Proceedings of the ACM Conference on Communications Architectures, Protocols and Applications (SIGCOMM), 31 August--2 September. Vol. 24, London, UK; 1994. p. 234–244.
   Google Scholar
• Mansouri N . Network and data location aware approach for simultaneous job scheduling and data replication in large-scale data grid environments. Front Comput Sci. 2014;8:391–408.
   Google Scholar
• Bagheri K , Mohsenzadeh M . E2DR: Energy efficient data replication in data grid. J Adv Comput Eng Technol. 2016;2:27–34.
   Google Scholar
• Park SM , Kim JH , Ko YB , et al . Dynamic data grid replication strategy based on internet hierarchy, in Grid and Cooperative Computing (GCC). Vol. 3033, Lecture notes in computer science. Berlin, Heidelberg: Springer; 2004. p. 838–846.
   Google Scholar
• Figueira S , Trieu T . Data replication and the storage capacity of data grids. In: Proceedings of the International Conference on High Performance Computing for Computational Science, 24--27 June. Toulouse, France; 2008. p. 567–575.
   Google Scholar
• Cameron DG , Millar AP , Nicholson C , et al . Analysis of scheduling and replica optimisation strategies for data grids using optorsim. J Grid Comput. 2004;2:57–69.
   Google Scholar
• Li W , Yang Y , Yuan D . Ensuring cloud data reliability with minimum replication by proactive replica checking. IEEE Trans Comput. 2016;65:1494–1506.
   Google Scholar
• Michelon GA , Lima LA , Oliveirade JA , et al . A strategy for data replication in mobile ad hoc networks. In: Proceedings of the 22nd IEEE International Symposium on Modelling, Analysis & Simulation of Computer and elecommunication Systems (MASCOTS), 9--11 September. Paris, France; 2014. p. 486–489.
   Google Scholar
• Souli-Jbali R , Hidri MS , Ayed RB . Dynamic data replication-driven model in data grids. In: Proceedings of the 39th IEEE Annual Computer Software and Applications Conference (COMPSAC), 1--5 July. Taichung, Taiwan; 2015. p. 393–397.
   Google Scholar
• Spaho E , Barolli L , Xhafa F . Data replication strategies in P2P systems: a survey. In: Proceedings of the 17th IEEE International Conference on Network-Based Information Systems (NBiS), 10--12 September. Salerno, Italy; 2014. p. 302–309.
   Google Scholar
• Available from: https://docs.oracle.com/cd/E17276_01/html/programmer_reference/rep.html
   Google Scholar
• Available from: http://www.oracle.com/technetwork/articles/systems-hardware-architecture/o11-080-art-data-replication-487868.pdf
   Google Scholar
• Gallicchio E , Xia J , Flynn WF , et al . Asynchronous replica exchange software for grid and heterogeneous computing. Comput Phys Commun. 2015;196:236–246.
   Google Scholar
• Mansouri N . A threshold-based dynamic data replication and parallel job scheduling strategy to enhance data grid. Cluster comput. 2014;17:957–977.
   Google Scholar
• Tehmina A , Muhammad S , Ali D . A survey of dynamic replication strategies for improving data availability in data grids. Future Gener Comput Syst. 2011;28:337–349.
   Google Scholar
• Khanli LM , Isazadeh A , Shishavan TN . PHFS: a dynamic replication method, to decrease access latency in the multi-tier data grid. Future Gener Comput Syst. 2011;27:233–244.
   Google Scholar
• Souravlas S , Sifaleras A . Binary-tree based estimation of file requests for efficient data replication. IEEE Trans Parallel Distrib Syst. 2017;28:1839–1852.
   Google Scholar
• Ranganathan K , Foster I . Design and evaluation of dynamic replication strategies for a high performance data grid. Proceedings of the International Conference on Computing in High Energy and Nuclear Physics. Beijing, China; 2001.
   Google Scholar
• Bsoul M , Al-Khasawneh A , Abdallah EE , et al . Enhanced fast spread replication strategy for data grid. J Network Comput Appl. 2011;34:575–580.
   Google Scholar
• Rasool Q , Li J , Oreku GS , et al . Fair-share replication in data grid. Inf Technol J. 2008;7:776–782.
   Google Scholar
• Wang Z , Li T , Xiong N , et al . A novel dynamic network data replication scheme based on historical access record and proactive deletion. J Supercomput. 2012;62:227–250.
   Google Scholar
• Chang RS , Chang HP . A dynamic data replication strategy using access-weights in data grids. J Supercomput. 2008;45:277–295.
   Google Scholar
• Bsoul M , Alsarhan A , Otoom A , et al . A dynamic replication strategy based on categorization for data grid. Multiagent Grid Syst. 2014;10:109–118.
   Google Scholar
• Lee MC , Leu FY , Chen YP . PFRF: an adaptive data replication algorithm based on star-topology data grids. Future Generation Comput Syst. 2012;28:1045–1057.
   Google Scholar
• Bsoul M , Abdallah AE , Almakadmeh K , et al . A round-based data replication strategy. IEEE Trans Parallel Distrib Syst. 2016;27:31–39.
   Google Scholar
• Souravlas S , Sifaleras A . On minimizing memory and computation overheads for binary-tree based data replication. In: Proceedings of the 22nd IEEE Symposium on Computers and Communications (ISCC), 3--6 July. Heraklion, Greece; 2017.
   Google Scholar
• Kroeger TM , Long DD . Predicting future file-system actions from prior events. In: Proceedings of the USENIX Annual Technical Conference, 22--26 January. San Diego, CA; 1996. p. 319–328.
   Google Scholar
• Chang RS , Huang NY , Chang JS . A predictive algorithm for replication optimization in data grid. In: Proceedings of the International Computer Symposium (ICS). Taiyuan, Taiwan; 2006. p. 199–204.
   Google Scholar
• Kroeger TM , Long DD . Design and implementation of a predictive file prefetching algorithm. In: Proceedings of the USENIX Annual Technical Conference, 25--30 June. Boston, Massachusetts; 2001. p. 105–118.
   Google Scholar
• Mansouri N . QDR: a QoS-aware data replication algorithm for data grids considering security factors. Cluster Comput. 2016;19:1071–1087.
   Google Scholar
• Mansouri N , Dastghaibyfard GH . A dynamic replica management strategy in data grid. J Network Comput Appl. 2012;35:1297–1303.
   Google Scholar
• Wu JJ , Lin YF , Liu P . Optimal replica placement in hierarchical data grids with locality assurance. J Parallel Distrib Comput. 2008;68:1517–1538.
   Google Scholar
• Shorfuzzaman M , Graham P , Eskicioglu R . Adaptive popularity-driven replica placement in hierarchical data grids. J Supercomput. 2010;51:374–392.
   Google Scholar
• Rahmani AM , Fadaie Z , Chronopoulos AT . Data placement using dewey encoding in a hierarchical data grid. J Network Comput Appl. 2015;49:88–98.
   Google Scholar
• Sashi K , Thanamani AS . Dynamic replication in a data grid using a modified bhr region based algorithm. Future Generation Comput Syst. 2011;27:202–210.
   Google Scholar
• Wei Y , Aslinger A , Son SH , et al . ORDER: a dynamic replication algorithm for periodic transactions in distributed real-time databases. Proceedings of the 10th International Conference on Real-Time and Embedded Computing Systems and Applications (RTCSA), 25--27 August. Gothenburg, Sweeden; 2004.
   Google Scholar
• Fu B , Tari Z . A dynamic load distribution strategy for systems under high task variation and heavy traffic. In: Proceedings of the 18th ACM symposium on Applied computing, 9--12 March. Melbourne, Florida; 2003. p. 1031–1037.
   Google Scholar