Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications

Abstract

<span lang="EN-US">Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network edge, and consequently, they become closer to end-user devices. In this paper, exploiting edge resources is studied; therefore, a cooperative-hierarchical approach for executing the pre-partitioned applications’ modules between edges resources is proposed, in order to reduce traffic between the network core and the cloud, where this proposed approach has a polynomial-time complexity. Furthermore, edge computing increases the efficiency of providing services, and improves end-user experience. To validate our proposed cooperative-hierarchical approach for modules placement between edge nodes’ resources, iFogSim toolkit is used. The obtained simulation results show that the proposed approach reduces network’s load and the total delay compared to a baseline approach for modules’ placement, moreover, it increases the network’s overall throughput.</span>

Large scale data analysis using MLlib

“…Because of the increased level of digital data generation, combined with the increasing complexity of the data. It has become impossible to process them using conventional data processing methods; as a result, efforts are now being directed toward developing advanced computing infrastructures that can handle data volumes and complexity of this magnitude (referred to as parallel and distributed processing) [25]- [42].…”

Compare encryption performance across devices to ensure the security of the IOT

“…The security of this technology is still a big question, because it is still unsafe by nature. For embedded systems, this is not a new security issue [1][2][3]. Security issues such as eavesdropping can illegally affect people's daily activities, even a -legitimate subject can collect data without user consent.…”

Noise uncertainty effect on multi-channel cognitive radio networks

“…In cognitive radio field the secondary user (SU) detect the primary user bands and depends on this decision it selects the spectrum for its communication [4][5][6].The CR system could be single channel or Multi-channel, choosing the system according to needs, because each system has benefits and drawbacks. In CR system, the secondary user have to detect the vacant channel [7][8][9][10]. When a vacant channel is detected, the secondary system will access that channel.…”