earticle

영어

Cloud computing is a technology which completely shifts the data to unaware Datacenter (DC) where the cloud service provider (CSP) is responsible for the subscribers’ data and its protection. Distributed Denial of Service (DDoS) is a kind of overload threat aims to subvert DC and their resources which leads to resource unavailable to legitimate requestors. In this paper we proposed an effective layered load balancing mechanism which scrutinizes the incoming requestors’ traffic at various layers and each layer outwits some kind of attack traffic. The early network traffic condition prediction paves the way to detect the threats earlier which in turn improves the availability. The significance of the proposed mechanism is detecting the higher rate of overload threats at earlier layers. Constant monitoring and stringent protocol setup for incoming traffic strengthens the proposed mechanism against several kinds of overload threats. Based on the traffic pattern of incoming requestors, the vulnerability is observed and outwitted at various layers. The simulation proved that the mechanism proposed is deployable at an attack-prone DC for resource protection, which would eventually benefit the DC economically as well.