Task Scheduling for Big Data Management in Fog Infrastructure

Abstract

Fog computing is a modern research trend to carry cloud computing benefits to network edges. Edge data center (EDC) or fog devices are used to minimize the network congestion and latency by processing data flows and user demands in close real time. Edge data center (EDC) or fog devices are positioned between data sources or iot devices and cloud data center (CDC). Fog devices work as a semi-permanent storage and mainly provides location awareness. Moreover, for processing data in the EDC or fog devices, task scheduling is a vital issue because here generate a lots of data from IoT or sensor layer. In our proposed strategy, we have used EDC or fog infrastructure for providing real time services in latency sensitive applications. By using ford-fulkerson algorithm and priority based queue, we have done load balancing and task scheduling in fog devices or EDC based network fast processing these large amount of data or big data.