{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T22:56:53Z","timestamp":1777676213294,"version":"3.51.4"},"reference-count":16,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2003,11,1]],"date-time":"2003-11-01T00:00:00Z","timestamp":1067644800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of High Performance Computing Applications"],"published-print":{"date-parts":[[2003,11]]},"abstract":"<jats:p>Computational grids process large, computationally intensive problems on small data sets. In contrast, data grids process large computational problems that in turn require evaluating, mining and producing large amounts of data. Replication, creating geographically disparate identical copies of data, is regarded as one of the major optimization techniques for reducing data access costs. In this paper, several replication algorithms are discussed. These algorithms were studied using the Grid simulator: OptorSim. OptorSim provides a modular framework within which optimization strategies can be studied under different Grid configurations. The goal is to explore the stability and transient behaviour of selected optimization techniques. We detail the design and implementation of OptorSim and analyze various replication algorithms based on different Grid workloads.<\/jats:p>","DOI":"10.1177\/10943420030174005","type":"journal-article","created":{"date-parts":[[2003,11,11]],"date-time":"2003-11-11T18:39:30Z","timestamp":1068575970000},"page":"403-416","source":"Crossref","is-referenced-by-count":220,"title":["Optorsim: A Grid Simulator for Studying Dynamic Data Replication Strategies"],"prefix":"10.1177","volume":"17","author":[{"given":"William H.","family":"Bell","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David G.","family":"Cameron","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A. Paul","family":"Millar","sequence":"additional","affiliation":[{"name":"UNIVERSITY OF GLASGOW, GLASGOW, G12 8QQ, SCOTLAND"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luigi","family":"Capozza","sequence":"additional","affiliation":[{"name":"INSTITUT FUER KERNPHYSIK - A4, BECHERWEG 45, 55099 MAINZ, GERMANY"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kurt","family":"Stockinger","sequence":"additional","affiliation":[{"name":"CERN, EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH, 1211 GENEVA, SWITZERLAND"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Floriano","family":"Zini","sequence":"additional","affiliation":[{"name":"ITC-IRST, VIA SOMMARIVE 18, 38050 POVO (TRENTO), ITALY"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2003,11,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"crossref","unstructured":"Abramson, D., Buuya, R., and Giddy, J. 2002. A Computational Economy for Grid Computing and its Implementation in the Nimrod-G Resource Broker . Future Generation Computer Systems 18(8).","DOI":"10.1016\/S0167-739X(02)00085-7"},{"key":"atypb2","doi-asserted-by":"crossref","unstructured":"Aida, K., Takefusa, A., Nakaka, H., Matsuoka, S., Sekiguchi, S., and Nagashima, U. 2000. Performance Evaluation Model for Scheduling in a Global Computing System . International Journal of High Performance Computing Applications 14(3).","DOI":"10.1177\/109434200001400308"},{"key":"atypb3","unstructured":"Bell, W.H., Cameron, D.G., Capozza, L., Millar, P., Stockinger, K., and Zini, F. December 2002. Design of a Replica Optimization Framework. Technical Report DataGrid-02-TED-021215, CERN, Geneva, Switzerland, EU DataGrid Project ."},{"key":"atypb4","doi-asserted-by":"crossref","unstructured":"Bell, W.H., Cameron, D.G., Carvajal-Schiaffino, R., Millar, A.P., Stockinger, K., and Zini,F., 2003. Evaluation of an Economy-Based File Replication Strategy for a Data Grid . In Proceedings of the 3rd International Workshop on Agent based Cluster and Grid Computing at International Symposium on Cluster Computing and the Grid (CCGrid 2003), Tokyo, Japan, May, IEEEComputer Society Press.","DOI":"10.1109\/CCGRID.2003.1199430"},{"key":"atypb5","doi-asserted-by":"crossref","unstructured":"Buyya, R., Stockinger, H., Giddy, J., and Abramson, D., August 2001. Economic Models for Management of Resources in Peer-to-Ppeer and Grid Computing . In Commercial Applications for High-Performance Computing, SPIE International Symposium on the Convergence of Information Technologies and Communications (ITCom 2001), Denver, CO.","DOI":"10.1117\/12.434872"},{"key":"atypb6","unstructured":"Carman, M., Zini, F., Serafini, L., and Stockinger, K., May 2002. Towards an Economy-Based Optimization of File Access and Replication on a Data Grid . In Proceedings of the 2nd International Workshop on Agent based Cluster and Grid Computing at International Symposium on Cluster Computing and the Grid (CCGrid 2002), Berlin, Germany, IEEE Computer Society Press."},{"key":"atypb7","doi-asserted-by":"crossref","unstructured":"Casanova, H., Obertelli, G., Berman, F., and Wolski, R., November 2000. The AppLeS Parameter Sweep Template: User-Level Middleware for the Grid . In Proceedings of Super Computing 2000, Dallas, TX, pp. 75\u201376 .","DOI":"10.1109\/SC.2000.10061"},{"key":"atypb8","doi-asserted-by":"crossref","unstructured":"Chervenak, A., Deelman, E., Foster, I., Hoschek, W., Iamnitchi, A., Kesselman, C., Kunszt, P., Ripeanu, M., Stockinger, H., Stockinger, K., and Tierney, B., November 2002. Giggle: A Framework for Constructing Scalable Replica Location Services . In Proceedings of the International IEEE\/ACM Supercomputing Conference (SC2002), Baltimore, MD.","DOI":"10.1109\/SC.2002.10024"},{"key":"atypb9","unstructured":"EU DataGrid Project, 2001. The DataGrid architecture. Technical Report DataGrid-12-D12.4-333671-3-0, CERN, Geneva, Switzerland ."},{"key":"atypb10","unstructured":"Huffman, B.T. et al. February 2002. The CDF\/D0 UK GridPP Project. CDF Internal Note CDF\/DOC\/COMP_UPG\/5858."},{"key":"atypb11","doi-asserted-by":"crossref","unstructured":"Kunszt, P., Laure, E., Stockinger, H., and Stockinger, K., September 2003. Advanced replica management with reptor , applications Grid workshop (AGW), Czestochowa, Poland, Springer-Verlag.","DOI":"10.1007\/978-3-540-24669-5_110"},{"key":"atypb12","unstructured":"Legrand, I.C., February 2000. Multi-threaded, Discrete Event Simulation of Distributed Computing Systems . In Proceedings of Computing in High Energy Physics (CHEP 2000), Padova, Italy."},{"key":"atypb13","doi-asserted-by":"crossref","unstructured":"Ranganathan, K., and Foster, I., November 2001. Identifying Dynamic Replication Strategies for a High Performance Data Grid . In Proceedings of the International Grid Computing Workshop, Denver, CO.","DOI":"10.1007\/3-540-45644-9_8"},{"key":"atypb14","unstructured":"Ranganathan, K., and Foster, I., July 2002. Decoupling Computation and Data Scheduling in Distributed Data-intensive Applications . In International Symposium of High Performance Distributed Computing, Edinburgh, Scotland."},{"key":"atypb15","unstructured":"Ranganathan, K., Iamnitchi, A., and Foster, I., May 2002. Improving Data Availability through Dynamic Model-Driven Replication in Large Peer-to-Peer Communities . 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