Cloud computing applied in the mobile Internet

Zhong, Longzhao; Wang, Beizhan; Wei, Haifang

doi:10.1109/iccse.2012.6295061

Cited by 20 publications

(3 citation statements)

References 7 publications

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“…The researcher introduces the idea of using mobile devices as resource providers, but the experiment is not integrated. Also, Zhong and Longzhao [20] discuss the integration of CC into mobile internet and are able to exemplify their arguments with typical successful business models in the market yet without particular performance benchmarking. In [21], the authors propose an autonomic resource manager to control the virtualized environment by recoupling the resource provision in order to optimize a function which integrates both SLA and the operating cost.…”

Section: Related Workmentioning

confidence: 99%

A New Technique for Optimizing Resource Allocation and Data Distribution in Mobile Cloud Computing

Hung

Bui²,

Soonil³

et al. 2016

ElAEE

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The emergence of mobile cloud computing (MCC) brings benefits to mobile users and cloud providers. However, due to the inherent limitations of the device such as battery life time, CPU and memory capacity, a mobile thin client device (e.g. smart phones, tablets, iWatch, Google Glass, etc) cannot meet the requirements of some demanding applications. To alleviate this limitation, the mobile device should cooperate with external resources to increase its performance. Recently, current research approaches have been unable to offer an efficient, seamless computing experience. In this paper, we present a comprehensive thin-thick client collaboration that involves conventional desktop or laptop computers, known as thick clients, by allowing the thin client to borrow resources from thick clients, particularly for optimizing data distribution and utilizing MCC resources to meet Service-Level Agreements, Quality-of-Service requirements and cloud service customers' budget. Our work uses both numerical analysis and simulation to prove that our proposed architecture can improve resource allocation efficiency and achieve better performance than other existing approaches in some cases.

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Section: Related Workmentioning

confidence: 99%

A New Technique for Optimizing Resource Allocation and Data Distribution in Mobile Cloud Computing

Hung

Bui²,

Soonil³

et al. 2016

ElAEE

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“…There are many advantages of MCC [9]: Extended Battery life, improvement in Data storage and Processing power, improvement in Reliability, Scalability capacity and so on. Still there are some problems faced in MCC like resource poverty of mobile devices, limited network bandwidth and high latency, less network availability and security issues [10].…”

Section: A Mobile Cloud Computingmentioning

confidence: 99%

Security in CloneCloud for Mobile Cloud Computing

Patel¹,

Patel²

2015

2015 Fifth International Conference on Communication Systems and Network Technologies

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Mobile Cloud Computing is an emerging technology in IT world. With the increasing demand of mobile users in terms of security, resources and computing power leads to necessity of accessing cloud resources in mobile device. Though there are some limitations in smartphones such as limited computing power and energy resources as compared to desktops. CloneCloud can be used as a solution to migrate the applications from mobile device to the clone over cloud. This will speed up the execution and reduce energy consumption in smartphones. There is a need to secure the communication that taken place in this scenario. For this purpose, proposed solution with elliptic curve cryptography and blowfish will ensure confidentiality and authentication between mobile device and clone server. Elliptic curve cryptography and blowfish have better performance in resource constrained devices. We have integrated modifications for blowfish to enhance the security.

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“…Resource limitations lead to the offloading of mobile data to the cloud to carry out remote computation and then send back the computational result to the mobile device. The mobile cloud computing (MCC) concept introduced in 2010 [1] is a combination of three technologies: Cloud Computing (CC), Mobile Computing (MC), and Mobile Internet [2,3]. The epitome of MCC is to let the user access and compute accurate and real-time information at any time and any place.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Firefly Based Intelligent Algorithm for Load Balancing in Mobile Cloud Computing

Poonam¹,

Sangwan²

2023

Computers, Materials &Amp; Continua

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This paper presents a novel fuzzy firefly-based intelligent algorithm for load balancing in mobile cloud computing while reducing makespan. The proposed technique implicitly acts intelligently by using inherent traits of fuzzy and firefly. It automatically adjusts its behavior or converges depending on the information gathered during the search process and objective function. It works for 3-tier architecture, including cloudlet and public cloud. As cloudlets have limited resources, fuzzy logic is used for cloudlet selection using capacity and waiting time as input. Fuzzy provides human-like decisions without using any mathematical model. Firefly is a powerful meta-heuristic optimization technique to balance diversification and solution speed. It balances the load on cloud and cloudlet while minimizing makespan and execution time. However, it may trap in local optimum; levy flight can handle it. Hybridization of fuzzy firefly with levy flight is a novel technique that provides reduced makespan, execution time, and Degree of imbalance while balancing the load. Simulation has been carried out on the Cloud Analyst platform with National Aeronautics and Space Administration (NASA) and Clarknet datasets. Results show that the proposed algorithm outperforms Ant Colony Optimization Queue Decision Maker (ACOQDM), Distributed Scheduling Optimization Algorithm (DSOA), and Utility-based Firefly Algorithm (UFA) when compared in terms of makespan, Degree of imbalance, and Figure of Merit.

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Cloud computing applied in the mobile Internet

Cited by 20 publications

References 7 publications

A New Technique for Optimizing Resource Allocation and Data Distribution in Mobile Cloud Computing

A New Technique for Optimizing Resource Allocation and Data Distribution in Mobile Cloud Computing

Security in CloneCloud for Mobile Cloud Computing

Fuzzy Firefly Based Intelligent Algorithm for Load Balancing in Mobile Cloud Computing

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