A Scalable and Utility Driven Profit Maximized Auction of Resources Model for Cloudlet Based Mobile Edge Computing

Abstract

This manuscript discusses about mobile edge computing, mobile cloud computing and various cloudlet-based frameworks used in these computing. Various cloudlet-based computing frameworks are inter-cloudlet communication framework, FMCC and SKYR framework. Various problems faced by these frameworks and solution proposed in improved SKYR framework are discussed here. Improved SKYR framework effectively addresses the problem of dynamic consideration of yield factor of over provisioning and under provisioning. It also establishes relationship between the yield factor of availability and its dependent factors, which helps to improve the yield factor of availability. This paper also discusses about various pricing models suitable for data as a service (DaaS). It mentions the drawbacks of latest pricing model that is profit maximization incentive mechanism (PMIM) pricing model and provides a solution to tackle those problems with the proposed effective pricing model named as scalable and utility driven profit maximized auction of resources. This pricing model effectively considers the problem of granularity of task, cost of execution of offloaded task, utility efficiency (η) and marginal utility (mu) factors for PMIM pricing model and provides effective solution. The proposed pricing model also follows the principle of scalability which suggests that it can extent to accommodate dynamic resource providers and mobile users. This proposed pricing model is incorporated in SKYR framework which enables this framework as complete package to motivate resource providers and mobile devices to use it for various applications such as data as a service (DaaS), software as a service (SaaS) and network as a service (NaaS).