Summary In this chapter, the aim was to expand and improve the application and offloading framework by taking offline parameters the application contextual model and topological structure of an application. Multiple topologies of applications graph have been analysed with various values of edges and vertices. We application various graph theory metrics which provides reasonable information about the likelihood any application to be partitioned. In this way, we have defined offloading likelihood index which takes the structural information into account and predicts how much likely an application to be partitioned without knowledge of resources of wireless network and cloud. We also simulated the effect of different kind of errors on our image retrieval application. We integrate offloading likelihood index and error response into the partitioning and offloading framework and further improved. In the end, we have test improvised version of partitioning and offloading framework in different scenarios involving various parameters of wireless network, cloud and user. & Conclusion As the and are evolving, researchers have turned their focus mobile network user demands towards i.e. investing more resources on the base stations. This provides a network edge unique opportunity to exploit a lot of computational capacity at the base stations by leveraging the cloud computing resources. In this thesis, we have outlined an effort to propose and simulate an end-to-end communication framework and then further expanded the framework by focusing on application partitioning and offloading framework. A optimization methodology has been applied on the given framework. The proposed methodology aims to minimize the resources in in view of network and cloud application and maintaining the appreciable user QoS. user context In Chapter 3, we propose a novel in end to end multimedia communications framework which mobile and interact with each other and are network, cloud, mobile user application connected to each other through a Setup is named as CANU comprising block mechanism. Cloud, Application, Network and User entities in an end to end communications. Mathematical model of each entity presented in CANU has been developed, and integrated in a proposed CANU framework. A multiobjective has been optimization algorithm NSGA-II applied on the CANU framework to optimize the behavior of the different models.
Summary In this chapter, the aim was to expand and improve the application and offloading framework by taking offline parameters the application contextual model and topological structure of an application. Multiple topologies of applications graph have been analysed with various values of edges and vertices. We application various graph theory metrics which provides reasonable information about the likelihood any application to be partitioned. In this way, we have defined offloading likelihood index which takes the structural information into account and predicts how much likely an application to be partitioned without knowledge of resources of wireless network and cloud. We also simulated the effect of different kind of errors on our image retrieval application. We integrate offloading likelihood index and error response into the partitioning and offloading framework and further improved. In the end, we have test improvised version of partitioning and offloading framework in different scenarios involving various parameters of wireless network, cloud and user. & Conclusion As the mobile network and user demands are evolving, researchers have turned their focus towards network edge i.e. investing more resources on the base stations. This provides a unique opportunity to exploit a lot of computational capacity at the base stations by leveraging the cloud computing resources. In this thesis, we have outlined an effort to propose and simulate an end-to-end communication framework and then further expanded the framework by focusing on application partitioning and offloading framework. A optimization methodology has been applied on the given framework. The proposed methodology aims to minimize the resources in network and cloud in view of application and user context maintaining the appreciable user QoS. In Chapter 3, we propose a novel end to end multimedia communications framework in which mobile network, cloud, mobile user and application interact with each other and are connected to each other through a block mechanism. Setup is named as CANU comprising Cloud, Application, Network and User entities in an end to end communications. Mathematical model of each entity presented in CANU has been developed, and integrated in a proposed CANU framework. A multiobjective optimization algorithm NSGA-II has been applied on the CANU framework to optimize the behavior of the different models.
Dr.Asad-Javied-PhD.docx