MOBILE CACHE SHARING AND PREFETCHING FOR LATENCY REDUCTION USING SIGNALR

The people expect contents to be available anytime, anywhere instantly using smart phones. Unlike client server environment, mobile devices have limited resources like cache memory, network bandwidth, power usage etc, when user expects a superior experience where contents are available instantly, there is a need for lot of researches in providing contents quickly using caching techniques, pre-fetching contents and also share cache at various levels like server level, network level, nodes, among collaborative users between clients (other smart phones/ mobile devices) etc. There are various researches going on to improve cache hits and try to provide web contents using only cache and perfected data, without hitting the server too many times for contents. In this paper we propose a combination of caching and prefetching using Enhanced Bloom Filter by individual mobile devices to improve hit ratio as well as share this cached content with set of users who voluntarily register to the hub (group). This method was implemented using SignalR and provided the evaluation. Using this method users themselves can establish voluntary groups (called cooperative users) and share their cached contents among cooperative users. The sharing of cached content from the group/hub can improve their cache hit rates for delivering content locally, reduce latency and bandwidth requirements.