A Framework of Mobile Cloudlet Centers Based on the Use of Mobile Devices as Cloudlets

Abstract

Accessing remote cloud services usually involves high network latencies. To deal with this issue, several models of local cloudlets have been proposed, but most of which are based on powerful desktop machines running continuously and constantly to provide services to nearby users. In this paper, we propose a more ubiquitous solution based on less powerful but considerably more accessible machines, namely mobile smartphones. We envision a network of cloudlets distributed within a geographic area, connected to a root server that keeps track of their online presence and resource availability. Our framework is especially suitable for environments where cloud clients are interested in network and software services, in information and data generated and updated by applications or cached from accesses to remote cloud centers. We use the CloudSim simulator to evaluate the performance of the proposed solution and compare it with a peer solutions found in the literature.

A mobile cloud computing framework for execution of data as a service using cloudlet

“…Mobility is the most essential factor to be taken into account in developing a framework for mobile cloudlet-based computing (FMCC) (Artail, et al, 2015). The permits mentioned above communicate among multiple cloudlets, and uses the main server to maintain a directory of a plethora of cloudlets.…”

“…The proposed work is implemented in Cloudsim as existing works of SKYR framework (Kumar & Yadav, 2017) and FMCC framework (Artail, et al, 2015) were also executed in the same environment. So, the same scenarios and assumptions are followed in the proposed work.…”

An IoT-Oriented Offloading Method with Privacy Preservation for Cloudlet-Enabled Wireless Metropolitan Area Networks

“…One of the hot technologies of edge cloud computing is the cloudlet, which is applied to get a shorter response time and reduce the energy consumption of mobile devices by alternating the offloading destinations, compared to the traditional mobile cloud computing paradigm [ 32 , 33 , 34 , 35 ]. There have been many studies about cloudlets, which were fully investigated in [ 36 , 37 , 38 , 39 , 40 , 41 , 42 ], to name a few.…”

“…That paper aims to enhance the performance of the cloudlet and improve the experience of cloud service with limited resources. Artail et al [ 39 ] proposed a general solution based on a mobile intelligent device to solve the service delay of the remote cloud. The author considered a cloud network, which distributes within a region and connects to the root server, to ensure resource availability.…”

Um relato sobre a migração de uma plataforma de offloading para microsserviços

“…s Segundo [Dinh et al 2013], MCC tem por objetivo provisionar um conjunto de serviços equivalentes aos da nuvem, adaptadosà capacidade de dispositivos com recursos restritos, de modo a trazer melhorias de desempenho das aplicações ou economia de energia nos dispositivos. Ao longo dosúltimos anos, soluções baseadas no conceito de MCC foram propostas para auxiliar na descentralização do processamento de dados e operações, diminuindo o consumo energético dos dispositivos [Artail et al 2015, Ferrari et al 2016, Liao et al 2015. Boa parte destas soluções baseia-se no uso de um técnica conhecida como offloading [Kumar and Lu 2010], onde processamento e dados são migrados de nós com baixo poder de processamento ou armazenamento, para dispositivos com mais recursos computacionais.…”