Application optimization in mobile cloud computing: Motivation, taxonomies, and open challenges

Ahmed, Ejaz; Gani, Abdullah; Sookhak, Mehdi; Hamid, Siti Hafizah Ab; Xia, Feng

doi:10.1016/j.jnca.2015.02.003

Cited by 136 publications

(52 citation statements)

References 55 publications

(56 reference statements)

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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

Self Cite

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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

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“…The possibilities of employing the MCC paradigm in order to optimize services on mobile devices for numerous applications and scenarios [5,25] have been discussed in literature. In [26,27], the authors present the possibility of using this paradigm in image processing for an application that reads text (e.g.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning

Nawrocki

Śnieżyński

2017

J Netw Syst Manage

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Since the concept of merging the capabilities of mobile devices and cloud computing is becoming increasingly popular, an important question is how to optimally schedule services/tasks between the device and the cloud. The main objective of this article is to investigate the possibilities for using machine learning on mobile devices in order to manage the execution of services within the framework of Mobile Cloud Computing. In this study, an agent-based architecture with learning possibilities is proposed to solve this problem. Two learning strategies are considered: supervised and reinforcement learning. The solution proposed leverages, among other things, knowledge about mobile device resources, network connection possibilities and device power consumption, as a result of which a decision is made with regard to the place where the task in question is to be executed. By employing machine learning techniques, the agent working on a mobile device gains experience in determining the optimal place for the execution of a given type of task. The research conducted allowed for the verification of the solution proposed in the domain of multimedia file conversion and demonstrated its usefulness in reducing the time required for task execution. Using the experience The research presented in this paper was supported by the Polish Ministry of Science and Higher Education under AGH University of Science and Technology Grant 11.11.230.124. We thank Małgorzata Pła_ zek, Jakub Czy_ zewski and Michał Janiec for assistance with implementation and testing. Neither the entire paper nor any part of its content has been published or has been accepted for publication elsewhere. It has not been submitted to any other journal. gathered as a result of subsequent series of tests, the agent became more efficient in assigning the task of multimedia file conversion to either the mobile device or cloud computing resources.

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“…Optimization models are very helpful to solve real life problems [28], [29]. These models provide optimal solution by considering all constraints.…”

Section: Optimization Model For Ordered Escapementioning

confidence: 99%

Mobility based Net Ordering for Simultaneous Escape Routing

Sattar¹,

Ignjatović²,

Anjum³

et al. 2017

ijacsa

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Abstract-With the advancement in electronics technology, number of pins under the ball grid array (BGA) are increasing on reduced size components. In small size components, a challenging task is to solve the escape routing problem where BGA pins escape towards the component boundary. It is often desirable to perform ordered simultaneous escape routing (SER) to facilitate area routing and produce elegant Printed Circuit Board (PCB) design. Some heuristic techniques help in finding the PCB routing solution for SER but for larger problems these are time consuming and produce sub-optimal results. This work propose solution which divides the problem into two parts. First, a novel net ordering algorithm for SER using network theoretic approach and then linear optimization model for single component ordered escape routing has been proposed. The model routes maximum possible nets between two components of the PCB by considering the design rules based on the given net ordering. Comparative analysis shows that the proposed net ordering algorithm and optimization model performs better than the existing routing algorithms for SER in terms of number of nets routed. Also the running time using proposed algorithm reduces to O(2 N E/2 ) + O(2 N E/2 ) for ordered escape routing of both components. This time is much lesser than O(2 N E ) due to exponential reduction.

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Application optimization in mobile cloud computing: Motivation, taxonomies, and open challenges

Cited by 136 publications

References 55 publications

Identifying the influential spreaders in multilayer interactions of online social networks

Identifying the influential spreaders in multilayer interactions of online social networks

Adaptive Service Management in Mobile Cloud Computing by Means of Supervised and Reinforcement Learning

Mobility based Net Ordering for Simultaneous Escape Routing

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