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Widodo, R.N., Lim, H., Atiquzzaman, M.: SDM: smart deduplication for mobile cloud storage. Uthayakumar, J., Vengattaraman, T., Dhavachelvan, P.: A survey on data compression techniques: from the perspective of data quality, coding schemes, data type and applications. Shakarami, A., Shahidinejad, A., Ghobaei-Arani, M.: An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach.
Wang, B., Wang, C., Huang, W., Song, Y., Qin, X.: A survey and taxonomy on task offloading for edge-cloud computing.
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Practice and Experience, Software (2020)Īslanpour, M.S., Ghobaei-Arani, M., Heydari, M., Mahmoudi, N.: LARPA: A learning automata-based resource provisioning approach for massively multiplayer online games in cloud environments. Shakarami, A., Shahidinejad, A., Ghobaei-Arani, M.: A review on the computation offloading approaches in mobile edge computing: a game-theoretic perspective. Shakarami, A., Ghobaei-Arani, M., Masdari, M., Hosseinzadeh, M.: A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective. and Shahidinejad, A.: A survey on the computation offloading approaches in mobile edge computing: a machine learning-based perspective. 77(1), 711–750 (2021)Įscamilla-Ambrosio, P.J., Rodríguez-Mota, A., Aguirre-Anaya, E., Acosta-Bermejo, R., Salinas-Rosales, M.: Distributing Computing in the internet of things: cloud, fog and edge computing overview. Ghobaei-Arani, M., Shahidinejad, A.: An efficient resource provisioning approach for analyzing cloud workloads: a metaheuristic-based clustering approach. Lee, C.A., Bohn, R.B., Michel, M.: The NIST cloud federation reference architecture 5.
Mokadem, R., Hameurlain, A.: A data replication strategy with tenant performance and provider economic profit guarantees in Cloud data centers. IEEE Access 7, 106912–106924 (2019)Īslanpour, M.S., Ghobaei-Arani, M., Toosi, A.N.: Auto-scaling web applications in clouds: a cost-aware approach. Ghobaei-Arani, M., Souri, A., Baker, T., Hussien, A.: ControCity: an autonomous approach for controlling elasticity using buffer Management in Cloud Computing Environment. Rittinghouse, J.W., Ransome, J.F.: Cloud Computing: Implementation, Management, and Security. Ghobaei-Arani, M., Souri, A.: LP-WSC: a linear programming approach for web service composition in geographically distributed cloud environments. (eds.): Cloud Computing: Methodology, Systems, and Applications.
Wang, L., Ranjan, R., Chen, J., Benatallah, B. Finally, open issues and future uncovered or weakly covered research challenges are discussed, and the survey will be concluded. A complete comparative comparison of the replication schemes highlights their main properties, such as utilized classes, type of the scheme, the place of implementation, evaluation tools, and their advantages and weaknesses. The presented classification comprises three main classes data deduplication schemes, data auditing schemes, and data handling schemes. This paper presents a comprehensive survey and classification of state-of-the-art data replication schemes among different existing cloud computing solutions in the form of a classical classification to define current schemes on the topic and present open issues. However, to the best of the author’s knowledge, there is no systematic, comprehensive, and complete survey in the cloud data replication despite its impacts and maturity. Data replication's main target is achieving higher performance for data-intensive applications by addressing some critical challenges of this criterion, such as availability, reliability, security, bandwidth, and response time of data access. One of the main mechanisms in cloud storage systems is data replication, for which various solutions are proposed. In recent years, cloud storage systems have emerged as a promising technology for storing data blocks on various cloud servers.