Multiservice Load Balancing with Hybrid Particle Swarm Optimization in Cloud-Based Multimedia Storage System with QoS Provision

Recently there are new trends in the way we use computers and access networks due to advanced mobile devices and network technologies. One of trend is cloud computing where resources are stored and processed on network. The other is Mobile computing, where mobile devices such as smart phones and tablets combines network connectivity, mobility, and software functionality and working as personal computers. Cloud based multimedia services have high constraint in terms of bandwidth and jitter. Therefore different approaches required to manage resources more efficiently for better Quality of Service (QoS) and Quality of Experience (QoE) offered by the mobile media services. This paper introduces a novel concept of Mobile Multimedia Web Service using Cloud in which services will run on public cloud depending upon service demands and network status, the service will be populated on other public cloud in different geographical locations. If demand for particular service increases in a location it will be more reliable to populate that service[1] closer to the cloud in that location. This will prevent the high traffic loads on internet backbone due to streaming of multimedia data. It will offer service provider’s management mechanism and an automated resource allocation for their services. This will help to reduce bandwidth and jitter on the cloud based multimedia services. IndexTerms—Computer Network Management, Communication System, Web Services, Mobile Computing.