Scheduling of task in collaborative environment using mobile cloud

The advent of mobile devices as powerful devices has enabled the development of the sophisticated application. Despite being equipped, many application does not perform well due to the shortage of different capabilities such as computation, memory storage, network bandwidth and battery capacity. Whereas most of the mobile device resources are idle or less utilized unless the user uses them occasionally. This device can be used to create the platform allowing devices within vicinity to form an on-the-fly cloud and collaboratively execute the task which provides various capabilities present in devices as cloud service. The device can send its task to the cloud that would allocate sub-task to a device with the best capability required for executing sub-task, thus improving resource utilization and potentially reduce execution time. We present a ranking algorithm to analyze various capabilities of peer devices and assign a task to the suitable available device using transformed Hungarian algorithm. We propose a local cloud framework with scheduling scheme for assignment of the sub-task to a device with optimized resource use of every capability present in a cloud and distribute workload for executing the resource intensive application.