MACRS: An Enhanced Directory-Based Resource Sharing Framework for Mobile Ad Hoc Networks

Abstract

Recent technological developments have caused a rapid increase in the use of portable devices around the globe. However, these devices comprise limited processing resources that restrict their performance. To overcome this issue, the existing literature provides several frameworks that enable resource sharing through ad hoc clouds. However, these frameworks lack the ability to cater to the omni-directional movements of devices, which adversely affects the cloud stability, thereby, restricting the resource sharing process. To this end, this paper proposes a novel framework, namely Mobility-aware Ad hoc Cloud-based Resource Sharing (MACRS), which aims to enhance resource sharing among devices. To achieve this aim, MACRS proposes a new mobility-aware clustering algorithm that improves cloud stability. Moreover, the proposed framework prevents unfair resource exploitation and introduces an enhanced technique to handle emergency tasks. Furthermore, we employed event-triggered energy valuations’ synchronization, instead of periodic updates, which minimizes network congestion, hence staving off bandwidth wastage. Additionally, MACRS proposes to maintain the local directory at each node, instead of the cellular service provider, to reduce end-to-end delay during energy valuations’ verification and to minimize the overall execution time of tasks. The simulation results demonstrated that MACRS provides considerably improved cloud stability and resource sharing in comparison with eminent frameworks.

A Resource Sharing System for Music Education Using the Entropy Technology

“…where h is the fusion function of music quality education resources under the background of digital technology, n(k) is the interference factor of music quality education resource fusion under the background of digital technology, s(k) is the joint spectral density of music quality education resources, and H 0 and H 1 are the assumptions of music quality education resources, respectively. The heterogeneous storage model of music quality education resources under the background of digital technology is constructed [13], and the dynamic characteristic quantity of music quality education resources under the background of digital technology is extracted, and the fusion degree function of music quality education resources under the background of digital technology is obtained using the following equation:…”

Resource Sharing Method of Basic Computer Education Based on Mixed Gaussian Model

“…e distributed resource library module utilizes the computer P2P network as its medium, connects a number of geographically dispersed independent resource libraries, creates a global logical view, and transforms these distributed centralized resource libraries into a unified resource library module for control and management. All the node resource library modules can independently support local applications and provide resource sharing capability to other nodes [13] in the distributed resource library module.…”

“…Before calculating the initial matrix of the sample, the data in the matrix should be standardized. e average value of the j -th column data can be calculated by formula (13) as follows:…”