Selection Strategy of Rescue Servers Under Hot-Spot Congestion

In this paper, we investigate selection strategies for rescue servers in a fully collaborative in which heterogeneous systems share spare resource to address hotspot problems experienced by individual members. Different from content replication, delays due to application replication and startup time of the resulting rescue servers will be taken into consideration. Details about our replication strategy, such as the maximum set size margin on the total number of discarded requests, overall latency for enabling rescue servers, are given. Simulation result shows that our selection strategies perform much better than existing mechanisms in which replication and startup delay are ignored.