An Efficient Framework for Provisioning Reliability in cloud using Network Coding
Maurya Shah, Jasmine Jha · International journal of advance research and innovative ideas in education · 2016
Wireless access networks constitute an important part of mobile cloud computing. Using mesh networks is a promising solution to quickly provide connectivity infrastructure for cloud service access. While mesh networks can be easily set up, the wireless nature of the links interconnecting mesh routers compromises the network performances. Due to the broadcast nature of wireless networks they have been a natural platform for applying Network Coding (NC). Wireless networks can benefit significantly from NC due to their broadcast nature and the opportunity of enhancing bandwidth utilization. In our work, we will develop Multi-Generation Mixing (MGM), which is a generalized approach for generation based network coding. With traditional generation based NC sender packets are grouped in generations where encoding and decoding are performed on packets that belong to the same generation. In scenarios i.e. wireless mobile clients, where losses cause insufficient reception of encoded packets, NC losses occur. NC losses are expensive; the minimum unit of loss is the loss of one generation. The proposed MGM framework allows the encoding among generations for the purpose of enhancing NC decoding. With MGM in scenarios where insufficient number of encodings received of a generation, it is still possible to recover the generation using data encoded in other generations. We will develop MGM based DODEX and will demonstrate the improvements in performance achieved by MGM.