A Survey of Mobile Cloud Computing Applications: Perspectives and Challenges

Wang, Yating; Chen, Ing-Ray; Wang, Ding-Chau

doi:10.1007/s11277-014-2102-7

Cited by 160 publications

(67 citation statements)

References 95 publications

(101 reference statements)

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“…The information is transmitted to a server. Then, the server in the cloud makes decisions by data analysis and gives commands to actuators in the access network [1][2][3][4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

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Data-Filtering System to Avoid Total Data Distortion in IoT Networking

2017

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Abstract:In the Internet of Things (IoT) networking, numerous objects are connected to a network. They sense events and deliver the sensed information to the cloud. A lot of data is generated in the IoT network, and servers in the cloud gather the sensed data from the objects. Then, the servers analyze the collected data and provide proper intelligent services to users through the results of the analysis. When the server analyzes the collected data, if there exists malfunctioning data, distortional results of the analysis will be generated. The distortional results lead to misdirection of the intelligent services, leading to poor user experience. In the analysis for intelligent services in IoT, malfunctioning data should be avoided because integrity of the collected data is crucial. Therefore, this paper proposes a data-filtering system for the server in the cloud. The proposed data-filtering system is placed in front of the server and firstly receives the sensed data from the objects. It employs the naïve Bayesian classifier and, by learning, classifies the malfunctioning data from among the collected data. Data with integrity is delivered to the server for analysis. Because the proposed system filters the malfunctioning data, the server can obtain accurate analysis results and reduce computing load. The performance of the proposed data-filtering system is evaluated through computer simulation. Through the simulation results, the efficiency of the proposed data-filtering system is shown.

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Section: Introductionmentioning

confidence: 99%

“…makes decisions by data analysis and gives commands to actuators in the access network [1][2][3][4][5][6][7][8][9]. Therefore, IoT services are provided by monitoring data in the physical domain of the access network and analyzing data in the computing domain of the IP cloud.…”

Section: Introductionmentioning

confidence: 99%

Data-Filtering System to Avoid Total Data Distortion in IoT Networking

2017

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“…In the PaaS layer, users can choose preferable operating systems and develop personal software by using supported resources in the cloud. In the IaaS layer, users can setup personal operating systems, configure computation environment, and develop software [10].…”

Section: Cloud Computingmentioning

confidence: 99%

A Case Study on Effective Technique of Distributed Data Storage for Big Data Processing in the Wireless Internet Environment

Park

Kim

Jeong

et al. 2015

Wireless Pers Commun

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Technology industry is experiencing its dramatic changes in the amount of data that requires management and the place that such an asset are stored. Despite the exponential growth of information, business leaders are expecting agility in order to complete a lot of works much faster and less expensively using data. With the generalized spread of smart devices under this rapidly changing digital environment and subsequent spread of wireless Internet users and communication expenditure, the amount of data via wireless Internet worldwide is increasing rapidly at a faster rate every year. However, the communication environment cannot catch up with the demands of consumers for the super high-speed wireless Internet. Accordingly, this paper aims to look at the establishment of the cloud storage-based file system that can provide services to meet the needs of users in the cloud computing environment via wireless Internet and the examples of the establishment of such a system.

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“…MCC has been attracting the attentions from both academia and industry in recent years and some significant surveys are provided, e.g., [3][4][5][6]. These surveys offer an extensive summary and review of mobile cloud computing research and highlight the specific concerns in mobile cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis for Multipath Communications in Mobile Cloud Computing Architectures

Sun

Zhang

et al. 2018

Wireless Communications and Mobile Computing

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Mobile cloud computing (MCC) has gained much attention from both academia and industry in recent years. It can support new types of services, such as m-commerce, m-learning, and mobile healthcare, and enrich mobile users' experience and satisfaction by taking full advantage of cloud computing. In MCC architectures multipath communications can be achieved with multihomed mobile devices, so as to utilize multiple paths for data transmission in parallel. They can achieve better utilization of bandwidth resource, split traffic for load balancing, and enhance reliability, fault tolerance, and robustness for applications. However, little attention has been paid to model the reliability of multipath communications in case of path failure. In this paper we investigate the reliability of concurrent multipath communications in MCC architectures and propose two reliability models when paths are failure. One is for static path failure where the failed paths cannot recover for communication in some delay time. The other is for dynamic path failure where the failed paths can recover in some delay time. Finally, numerical results are given to illustrate the reliability of multipath communications.

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A Survey of Mobile Cloud Computing Applications: Perspectives and Challenges

Cited by 160 publications

References 95 publications

Data-Filtering System to Avoid Total Data Distortion in IoT Networking

Data-Filtering System to Avoid Total Data Distortion in IoT Networking

A Case Study on Effective Technique of Distributed Data Storage for Big Data Processing in the Wireless Internet Environment

Reliability Analysis for Multipath Communications in Mobile Cloud Computing Architectures

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