Publication Type : Journal Article
Source : Journal of Parallel and Distributed Computing (Elsevier), 2019
Url : https://www.sciencedirect.com/science/article/pii/S0743731519302680
Campus : Amaravati
School : School of Computing
Verified : No
Year : 2019
Abstract : In the new era of cloud computing, the users get various services from the cloud. In recent years, the increasing volume of data specially from pervasive devices has become a great matter of concern. In mobile computing, cloudlets act as a shadow image of the data centers and provide low latency cloud environment. In this work, the authors have proposed an approach called DATALET that deals with distribution of data by utilizing the processing and storage resources of big intermittent networks. In DATALET, the cloudlets act as central managers for data management. DATALET provides a robust architecture which is fault-tolerant and also has a cloudlet job scheduler. The cloudlets maintain the information based on the availability of the user at a particular location and also utilize their computational resources. The model is simulated using NS-3 and will also provide the service in an environment where the network does not exist. The results indicate that DATALET approach has higher performance in terms of latency, Internet outgoing bandwidth for the users and resource utilization of the user devices.
Cite this Research Publication : C.R. Panigrahi,J.L. Sarkar, M. Tiwary et al. “DATALET : An approach to manage big volume of data in cyber foraged environment”, Journal of Parallel and Distributed Computing (Elsevier), https://doi.org/10.1016/j.jpdc.2019.04.005. 2019