References
[1]. Al Mistarihi, H. H. E., & Yong, C. H. (2008). Replica management in data grid. International Journal of Computer Science and Network Security, 8(6), 22-32.
[2]. Alkhanak, E. N., Lee, S. P., Rezaei, R., & Parizi, R. M. (2016). Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues. Journal of Systems and Software, 113, 1-26.
[3]. Chamola, V., Sikdar, B., & Krishnamachari, B. (2017). Delay aware resource management for grid energy savings in green cellular base stations with hybrid power supplies. IEEE Transactions on Communications, 65(3), 1092-1104.
[4]. Chang, R. S., Chang, H. P., & Wang, Y. T. (2008, March). A dynamic weighted data replication strategy in data grids. In 2008 IEEE/ACS International Conference on Computer Systems and Applications (pp. 414-421). IEEE.
[5]. Gharajeh, M. S. (2015). The significant concepts of cloud computing : Technology, architecture, applications, and security. CreateSpace Independent Publishing Platform.
[6]. Gharajeh, M. S. (2017). Applications of virtualization technology in grid systems and cloud servers. In P. K. Das and G. C. Deka (Eds.), Design and Use of Virtualization Technology in Cloud Computing (pp. 1-28). Hershey, PA: IGI Global
[7]. Gill, S. S., Chana, I., Singh, M., & Buyya, R. (2018). CHOPPER: An intelligent QoS-aware autonomic resource management approach for cloud computing. Cluster Computing, 21(2), 1203-1241.
[8]. Granville, A., & Rudnick, Z. (Eds.). (2007). Equidistribution in number theory, an introduction (Vol. 237). Springer Science & Business Media.
[9]. Hossain, E., Han, Z., & Poor, H. V. (Eds.). (2012). Smart Grid Communications and Networking. Cambridge University Press.
[10]. Jinno, M., Kozicki, B., Takara, H., Watanabe, A., Sone, Y., Tanaka, T., & Hirano, A. (2010). Distance-adaptive spectrum resource allocation in spectrum- sliced elastic optical path network [topics in optical communications]. IEEE Communications Magazine, 48(8), 138-145.
[11]. Krašovec, B., & Filipčič, A. (2019). Enhancing the Grid with Cloud Computing. Journal of Grid Computing, 17(1), 119-135.
[12]. Kuipers, L., & Niederreiter, H. (2012). Uniform Distribution of Sequences. Courier Corporation.
[13]. Mahmood, A., Ullah, M. N., Razzaq, S., Basit, A., Mustafa, U., Naeem, M., & Javaid, N. (2014). A new scheme for demand side management in future smart grid networks. Procedia Computer Science, 32, 477-484.
[14]. Mansouri, N., & Dastghaibyfard, G. H. (2013). Enhanced dynamic hierarchical replication and weighted scheduling strategy in data grid. Journal of Parallel and Distributed Computing, 73(4), 534-543.
[15]. Mariotti, M., Gervasi, O., Vella, F., Cuzzocrea, A., & Costantini, A. (2018). Strategies and systems towards grids and clouds integration: A DBMS-based solution. Future Generation Computer Systems, 88, 718-729.
[16]. Mishra, M. K., Patel, Y. S., Ghosh, M., & Mund, G. B. (2017). A review and classification of grid computing systems. International Journal of Computational Intelligence Research, 13(3), 369-402.
[17]. Nazir, B., Ishaq, F., Shamshirband, S., & Chronopoulos, A. (2018). The impact of the implementation cost of replication in data grid job scheduling. Mathematical and Computational Applications, 23(2), 1-19.
[18]. Nicholson, C., Cameron, D. G., Doyle, A. T., Millar, A. P., & Stockinger, K. (2008). Dynamic data replication in lcg 2008. Concurrency and Computation: Practice and Experience, 20(11), 1259-1271.
[19]. O'neil, E. J., O'neil, P. E., & Weikum, G. (1993). The LRU-K page replacement algorithm for database disk buffering. ACM Sigmod Record, 22(2), 297-306.
[20]. Prischepa, V. (2004). An efficient web caching algorithm based on LFU-K replacement policy. In Proceedings of the Spring Young Researcher's Colloquium on Database and Information Systems (pp. 1- 5). IEEE.
[21]. Rahman, R. M., Barker, K., & Alhajj, R. (2009). Performance evaluation of different replica placement algorithms. International Journal of Grid and Utility Computing, 1(2), 121-133.
[22]. Ranganathan, K., Iamnitchi, A., & Foster, I. (2002, May). Improving data availability through dynamic model-driven replication in large peer-to-peer communities. In 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02) (pp. 376-376). IEEE.
[23]. Sashi, K., & Thanamani, A. S. (2011). Dynamic replication in a data grid using a modified BHR region based algorithm. Future Generation Computer Systems, 27(2), 202-210.
[24]. Tang, M., Lee, B. S., Tang, X., & Yeo, C. K. (2006). The impact of data replication on job scheduling performance in the Data Grid. Future Generation Computer Systems, 22(3), 254-268.
[25]. Wang, L., Jie, W., & Chen, J. (2018). Grid Computing: Infrastructure, Service, and Applications. CRC Press.
[26]. Weng, Y., Negi, R., Faloutsos, C., & Ilić, M. D. (2017). Robust data-driven state estimation for smart grid. IEEE Transactions on Smart Grid, 8(4), 1956-1967.
[27]. Wilkinson, B. (2009). Grid Computing: Techniques and Applications. CRC Press.