Cloudlet deployment in local wireless networks: Motivation, architectures, applications, and open challenges

Shaukat, Usman; Ahmed, Ejaz; Anwar, Zahid; Xia, Feng

doi:10.1016/j.jnca.2015.11.009

Cited by 129 publications

(56 citation statements)

References 62 publications

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“…However, the future of OSNs platform will represents multilayers of network that allows not only the users within the same online network to be connected but also people and smart devices within the community will be connected in multi and different layers [64][65][66]. Consequently this may introduce networks with different interaction creating intersecting researches fields as future directions of different multilayer OSNs and their role in developing smart cities [67].…”

Section: Resultsmentioning

confidence: 99%

Identifying the influential spreaders in multilayer interactions of online social networks

Al-Garadi

Varathan

Ravana

et al. 2016

IFS

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Abstract. Online social networks (OSNs) portray a multi-layer of interactions through which users become a friend, information is propagated, ideas are shared, and interaction is constructed within an OSN. Identifying the most influential spreaders in a network is a significant step towards improving the use of existing resources to speed up the spread of information for application such as viral marketing or hindering the spread of information for application like virus blocking and rumor restraint. Users communications facilitated by OSNs could confront the temporal and spatial limitations of traditional communications in an exceptional way, thereby presenting new layers of social interactions, which coincides and collaborates with current interaction layers to redefine the multiplex OSN. In this paper, the effects of different topological network structure on influential spreaders identification are investigated. The results analysis concluded that improving the accuracy of influential spreaders identification in OSNs is not only by improving identification algorithms but also by developing a network topology that represents the information diffusion well. Moreover, in this paper a topological representation for an OSN is proposed which takes into accounts both multilayers interactions as well as overlaying links as weight. The measurement results are found to be more reliable when the identification algorithms are applied to proposed topological representation compared when these algorithms are applied to single layer representations.

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Section: Resultsmentioning

confidence: 99%

Identifying the influential spreaders in multilayer interactions of online social networks

Al-Garadi

Varathan

Ravana

et al. 2016

IFS

Self Cite

View full text Add to dashboard Cite

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“…In some studies [21], it is possible to eliminate the delays by reducing the number of communication channels between users and cloudlets by providing the solution of user requests in a closely located cloudlet. The energy consumption, delays and interruptions can be reduced by correctly locating auxiliary (interface) and main parts of software applications utilized by users in mobile devices and cloud servers.…”

Section: Related Workmentioning

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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“…The proposed solutions are not replacing but complementing the cloud computing model and respecting the primary objective of the mobile cloud computing environment which tackle the limitations of mobile devices. One of these resources is cloudlet [99,100], which is deployed in public places. This type of micro-cloud is a close source of customized cloud assets aiming to reduce communication delay.…”

Section: Cloud Service Recommendationmentioning

confidence: 99%

Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm

Bangui

Bühnová

et al. 2017

JSAN

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Abstract:Mobile cloud computing (MCC) is becoming a popular mobile technology that aims to augment local resources of mobile devices, such as energy, computing, and storage, by using available cloud services and functionalities. The offloading process is one of the techniques used in MCC to enhance the capabilities of mobile devices by moving mobile data and computation-intensive operations to cloud platforms. Several techniques have been proposed to perform and improve the efficiency and effectiveness of the offloading process, such as multi-criteria decision analysis (MCDA). MCDA is a well-known concept that aims to select the best solution among several alternatives by evaluating multiple conflicting criteria, explicitly in decision making. However, as there are a variety of platforms and technologies in mobile cloud computing, it is still challenging for the offloading process to reach a satisfactory quality of service from the perspective of customers' computational service requests. Thus, in this paper, we conduct a literature review that leads to a better understanding of the usability of the MCDA methods in the offloading operation that is strongly reliant on the mobile environment, network operators, and cloud services. Furthermore, we discuss the challenges and opportunities of these MCDA techniques for offloading research in mobile cloud computing. Finally, we recommend a set of future research directions in MCDA used for the mobile cloud offloading process.

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Cloudlet deployment in local wireless networks: Motivation, architectures, applications, and open challenges

Cited by 129 publications

References 62 publications

Identifying the influential spreaders in multilayer interactions of online social networks

Identifying the influential spreaders in multilayer interactions of online social networks

Effective use Method of Cloudlet Resources by Mobile Users

Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm

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