Energy-efficient fault-tolerant replica management policy with deadline and budget constraints in edge-cloud environment. (1st October 2019)

• Record Type: Journal Article
• Authors: Li, Chunlin; Wang, YaPing; Chen, Yi; Luo, Youlong
• Is Part Of: Journal of network and computer applications. Volume 143(2019)
• Page Start: 152
• Page End: 166
• Publication Date: 2019-10-01
• Subjects: Replica management -- Energy-efficient -- Fault-tolerant -- Edge-cloud environment; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2019.04.018
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: With the development of large-scale distributed systems such as grids and clouds, data replication management has become a hot research topic. Although replica management can improve the cluster system performance, it also brings a series of management and overhead issues. Therefore, the energy-efficient fault-tolerant replica management policy with the deadline and budget constraints in the edge-cloud environment is proposed. The experiments show that the proposed dynamic replica placement algorithm can effectively reduce the mean job time, reduce the use of network bandwidth and improve the utilization of storage space. Considering the issue of energy efficiency, the energy-aware cluster scaling strategy is proposed to reduce system energy consumption and achieve energy efficiency by sleeping and waking up the data nodes according to the load state of the system. Besides, in order to avoid access failures and data loss caused by node failures, the node failure recovery method based on availability metrics is used to deal with node failures. The experiments show that the performance of the proposed algorithm is better than the other algorithms in terms of energy efficiency and fault tolerance.