CAB: Cloudlets as Agents of Cloud Brokers

Abstract

Cloud computing provides a variety of services to the users and charges the users based on the usage. The development of cyber foraging concept allows the users to offload the computationally intensive services to the nearest data centers for getting instant results. The Internet WAN latency acts as a major constraint to get instant results for computationally intensive services. The development of cloudlets in recent years allows the cloud users to offload computationally intensive operations to cloudlets to get the results, where the cloudlets get connected with users through LAN or Wi-Fi. The cloudlets are generally deployed based on the geographical area and density of users. Cloud brokers act as an intermediate layer between the cloud and the users. The brokers select best set of services from different cloud providers and offer these services to the users. In this work, we propose an approach named as CAB( Introducing Cloudlets as Agents of Cloud Brokers). Here we assume that cloud brokers mainly focus on providing the computationally intensive services or services with strict time deadline specified in Service Level Agreement(SLA) to the users through cloudlets. The cloud brokers deploy cloudlets based on user requirements for computationally intensive services or strict SLA's. In this work, we also introduce a pricing scheme for cloud brokers and an algorithm which can optimize the profit for cloud brokers. Based on the simulation, we observed that the profit for brokers increases when the number of cloudlets increase for an area or the processing and memory resources increase for a cloudlet which also causes more faster execution of services requested from the users.