Abstract
Mobile systems are becoming increasingly important, and new promising paradigms such as Mobile Cloud Computing. Mobile Cloud Computing is an application that allows data to be stored and processed outside of the mobile node. There is a lot of interest in using the resources that can be accessed by transparently using distributed resource pooling offered by nearby mobile nodes. This type of device is used in emergency, education, and tourism. Systems basically use dynamic network topologies in which network partitions and disconnection occurs frequently, so the availability of the services has been compromised. In this paper proposes the context aware architecture to provide availability of the services deployed in mobile and dynamic network environments which provides better response time, the services need not be migrated at real time, so the bandwidth and energy used has been more efficient.
Highlights
INTRODUCTIONLocal Mobile Cloud is required in domains where mobile applications need to be supported by data storage and processing services provided by the mobile platform itself in a transparent and flexible way, such as rescue teams, security forces, tourism [1]
Mobile systems are becoming increasingly important, and new promising paradigms such as Mobile Cloud Computing
The rest of the paper is organized as follows: section 2 design which provides system architecture and data flow diagram, section 3 explains the methodology, section 4 provides the system testing details and the paper is concluded with section 5 results and analysis
Summary
Local Mobile Cloud is required in domains where mobile applications need to be supported by data storage and processing services provided by the mobile platform itself in a transparent and flexible way, such as rescue teams, security forces, tourism [1]. When client sends upload or download request, it forwards it to cloud and gets the response which will be sent back to client It accepts service shifting request from neighboring nodes and adds the new service in current node. UDP supports a point-to-point datagram-oriented model, which is simpler and faster Both the numerical IP address and the domain name for that address are encapsulated in the InetAddress class.
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