Dynamic cost-effective social network data placement and replication in the cloud

This research analyses and emphasises the importance of data storage for online social network services. It highlights that it is not only crucial to have an optimised data placement to fulfil the users’ acceptable latency requirement in online social networks while incurring the minimum cost for social network providers, but also to keep the data placement effective and efficient over time. The research proposes a dynamic cost effective data placement and replication strategy in geo-distributed cloud services to minimise the monetary cost for social network providers while guaranteeing the individual access latency and availability requirements for social network users.