Real Time Efficient Scheduling Algorithm for Load Balancing in Fog Computing Environment

Cloud computing is the new era technology,\udwhich is entirely dependent on the internet to maintain\udlarge applications, where data is shared over one platform\udto provide better services to clients belonging to a\uddifferent organization. It ensures maximum utilization of\udcomputational resources by making availability of data,\udsoftware and infrastructure with lower cost in a secure,\udreliable and flexible manner. Though cloud computing\udoffers many advantages, but it suffers from certain\udlimitation too, that during load balancing of data in cloud\uddata centers the internet faces problems of network\udcongestion, less bandwidth utilization, fault tolerance and\udsecurity etc. To get rid out of this issue new computing\udmodel called Fog Computing is introduced which easily\udtransfer sensitive data without delaying to distributed\uddevices. Fog is similar to the cloud only difference lies in\udthe fact that it is located more close to end users to\udprocess and give response to the client in less time.\udSecondly, it is beneficial to the real time streaming\udapplications, sensor networks, Internet of things which\udneed high speed and reliable internet connectivity. Our\udproposed architecture introduced a new scheduling policy\udfor load balancing in Fog Computing environment, which\udcomplete real tasks within deadline, increase throughput\udand network utilization, maintaining data consistency\udwith less complexity to meet the present day demand of\udend user