Efficient Algorithms for Capacitated Cloudlet Placements

Xu, Zichuan; Liang, Weifa; Xu, Wenzheng; Jia, Mike; Guo, Song

doi:10.1109/tpds.2015.2510638

Cited by 241 publications

(127 citation statements)

References 28 publications

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“…Thus, it is attempted to solve the user problem in cloudlets located closer to user in case of absence of important resources in cloudlets to which user is connected. The low number of communication channels between the user and cloudlet can facilitate the realization of operating software tools in shorter period, with higher quality, minimal delays and interruptions [11]. The proximity is determined by the number of communication channels among cloudlets.…”

Section: Problem Statementmentioning

confidence: 99%

Effective use Method of Cloudlet Resources by Mobile Users

Alakbarov¹,

Alakbarov²

2018

IJCNIS

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Abstract-The paper explores the architecture of mobile cloud technologies. The advantages and the problems emerging during the use of this technology are analyzed. The study analyzes the establishment of network infrastructure based on cloudlets at the second level of mobile computation clouds with hierarchic structure. At the same time, the issues of computation and meeting the demand for memory resources of mobile devices are investigated by employing this technology. The paper presents the solution of the linking problem of cloudlets located in the proximity of base stations of wireless metropolitan area networks (WMAN). The study also determines the number of communication channels among cloudlets for the purpose of effective utilization of cloudlet resources. The issue of uploading necessary program extensions to a corresponding cloudlet by using the possible number specifying the importance of cloudlets was investigated and a method was proposed.

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Section: Problem Statementmentioning

confidence: 99%

Effective use Method of Cloudlet Resources by Mobile Users

Alakbarov¹,

Alakbarov²

2018

IJCNIS

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“…studied cloudlet placement and formulated the cloudlet placement as integer linear programming [15].…”

Section: Server Placementmentioning

confidence: 99%

A strategy for improving NetClust server placement for multicloud environments

Zhao¹,

Liu²,

Qing³

et al. 2018

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, we propose a fast server placement algorithm to improve the NetClust framework and make it more efficient and flexible. To this end, we introduce hierarchical clustering technologies to the NetClust framework and propose a flexible server placement algorithm, which integrates the agglomerative and divisive clustering technologies to reduce the time complexity and avoid the performance fluctuation affected by the initial node selection. The experiment results show that our server placement algorithm may reduce the time complexity of server selection of NetClust significantly and improve the flexibility and applicability of the NetClust.

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“…Here, the current total available bandwidth consists of two parts: his/her own cellular bandwidth and the additional bandwidth from the crowdsourcing broker. The crowdsourcing broker maintains a virtual resource (bandwidth) pool where the bandwidth is collected from two sources: one is the participant device group comprising of other idle mobile users 2 and the other is the cloudlet servers 3 which are deployed by the network operator [25].…”

Section: ) Brokerage Overviewmentioning

confidence: 99%

Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage

Dou

et al. 2017

IEEE Trans. Multimedia

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Abstract-Nowadays, people can enjoy a rich real-time sensing cognition of what they are interested in anytime and anywhere by leveraging powerful mobile devices such as smartphones. As a key support for the propagation of these richer live media contents, cellular-based access technologies play a vital role to provide reliable and ubiquitous Internet access to mobile devices. However, these limited wireless network channel conditions vary and fluctuate depending on weather, building shields, congestion, etc., which degrade the quality of live video streaming dramatically. To address this challenge, we propose to use crowdsourcing brokerage in future networks which can improve each mobile user's bandwidth condition and reduce the fluctuation of network condition. Further, to serve mobile users better in this crowdsourcing style, we study the brokerage scheduling problem which aims at maximizing the user's QoE (quality of experience) satisfaction degree cost-effectively. Both offline and online algorithms are proposed to solve this problem. The results of extensive evaluations demonstrate that by leveraging crowdsourcing technique, our solution can cost-effectively guarantee a higher quality view experience.

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Efficient Algorithms for Capacitated Cloudlet Placements

Cited by 241 publications

References 28 publications

Effective use Method of Cloudlet Resources by Mobile Users

Effective use Method of Cloudlet Resources by Mobile Users

A strategy for improving NetClust server placement for multicloud environments

Mobile Live Video Streaming Optimization via Crowdsourcing Brokerage

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