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Fog computing is a recent research trend to bring cloud computing services to network edges. Edge datacenters (EDCs) are deployed to decrease the latency and networks congestion by processing data streams and user requests in near real-time. The EDCs deployment is distributed in nature and positioned between cloud datacenter and data sources. Load balancing is the process of redistributing the work load among EDCs to improve both resource utilization and job response time. Load balancing also avoids a situation where some EDCs are heavily loaded while others in idle state or doing small data processing. In such scenarios, load balancing between the EDCs plays a vital role for user response and real-time event detection. As the EDCs are deployed in the unattended environment, secure authentication of EDCs is an important issue to address before performing load balancing. This paper proposes a novel load balancing technique to authenticate the EDCs and find out less loaded EDC for task allocation. The proposed load balancing technique is more efficient than other existing approaches in finding less loaded EDC for task allocation. The proposed approach not only improves efficiency of load balancing, it also strengthens the security by authenticating the destination EDCs.

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