Crowd-Funding: A New Resource Cooperation Mode for Mobile Cloud Computing

Abstract

Mobile cloud computing, which integrates the cloud computing techniques into the mobile environment, is regarded as one of the enabler technologies for 5G mobile wireless networks. There are many sporadic spare resources distributed within various devices in the networks, which can be used to support mobile cloud applications. However, these devices, with only a few spare resources, cannot support some resource-intensive mobile applications alone. If some of them cooperate with each other and share their resources, then they can support many applications. In this paper, we propose a resource cooperative provision mode referred to as "Crowd-funding", which is designed to aggregate the distributed devices together as the resource provider of mobile applications. Moreover, to facilitate high-efficiency resource management via dynamic resource allocation, different resource providers should be selected to form a stable resource coalition for different requirements. Thus, considering different requirements, we propose two different resource aggregation models for coalition formation. Finally, we may allocate the revenues based on their attributions according to the concept of the "Shapley value" to enable a more impartial revenue share among the cooperators. It is shown that a dynamic and flexible resource-management method can be developed based on the proposed Crowd-funding model, relying on the spare resources in the network.

ACPEC: A Resource Management Scheme Based on Ant Colony Algorithm for Power Edge Computing

“…A rational resource management and task assignment scheme is very important to ensure the efficiency and stability of the power cloud computing system. ere are many researchers who studied the resource management of cloud computing [9,10]. For the resource management schemes on saving energy consumption, the authors in [11] proposed a new method to reduce the power consumption by decreasing the processor speed.…”

A New Task Scheduling Scheme Based on Genetic Algorithm for Edge Computing

“…There has been much research into cloud resource management [6][7][8]. In research into saving energy, the authors in [9] proposed a scheme that can achieve energy savings in a virtual cluster by reducing the processor speed.…”

“…Cloud computing is used for providing resource storage and task computing services in power networks. Because of long transmission delays in cloud computing and limited computing resources in edge nodes [6], in this paper, we present a two-layer resource management model and a novel task scheduling algorithm to meet the requirements of power networks, as shown in Fig. 1.…”