Efficient Heuristic Replication Techniques for High Data Availability in Cloud

Most social networks allow connections amongst many people based on shared interests. Social have to offer data like videos, photos with minimum latency the group, which could be challenging as storage cost has minimized and hence entire replication is not a solution. The of across network read-intensive can potentially lead increased savings in energy reduce end-user’s response time. Though simple adaptive strategies exist, solution non-deterministic; replicas need optimized usability, performance, stability application systems. To resolve non-deterministic issue replication, metaheuristics are applied. In this work, Harmony Search Tabu algorithms used optimizing process. A novel Harmony-Tabu search proposed for effective placement data. Experiments large datasets show effectiveness technique. It seen that bandwidth saving harmony-Tabu performs better range 3.57% 18.18% varying number cloud datacenters when compared algorithm.