Assessment of quality of experience (QoE) of image compression in social cloud computing

An application's offloading algorithm to over go the limitations of mobile terminals, namely their lack of computing capacity and limited battery autonomy is introduced. The proposed Mobile Application's Offloading algorithm enables to shift applicative jobs from mobile handsets to remote servers. The novelty of MAO consists in considering the Quality of Experience as an additional decision test before proceeding to application offloading. Based on various traffic scenarios, researchers study the efficiency of the MAO algorithm and show its performance in terms of rejected jobs and energy savings. First, the researchers consider the case where the application servers were placed systematically at the antenna's site. For a more realistic context of Mobile Cloud Computing, they extend the analysis by considering the case where the remote servers can be placed at different splitting points of the infrastructure. They assess by means of closed-forms fitting functions the performance of the MAO algorithm. Authors end this article with proposing an optimized applications servers placement.

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Issues in On-Demand Cloud-Based Gaming Storage

Emerging Technologies and Applications for Cloud-Based Gaming - Advances in Multimedia and Interactive Technologies ◽

10.4018/978-1-5225-0546-4.ch006 ◽

2017 ◽

pp. 115-138

Author(s):

Ebin Deni Raj ◽

L. D. Dhinesh Babu

Keyword(s):

Mathematical Model ◽

Cloud Computing ◽

Quality Of Service ◽

Service Provider ◽

Quality Of Experience ◽

Cloud Service ◽

End User ◽

Cloud Service Provider ◽

On Demand

Cloud computing is the most utilized and evolving technology in the past few years and has taken computing to a whole new level such that even common man is receiving the benefits. The end user in cloud computing always prefers a cloud service provider which is efficient, reliable and best quality of service at the lowest possible price. A cloud based gaming system relieves the player from the burden of possessing high end processing and graphic units. The storage of games hosted in clouds using the latest technologies in cloud has been discussed in detail. The Quality of service of games hosted in cloud is the main focus of this chapter and we have proposed a mathematical model for the same. The various factors in dealing with the quality of service on cloud based games have been analyzed in detail. The quality of experience of cloud based games and its relation with quality of service has been derived. This chapter focuses on the various storage techniques, quality of experience factors and correlates the same with QoS in cloud based games.

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A Survey on Strategies, Trends, Economics, and Prospects of Cloud-Based Gaming

Emerging Technologies and Applications for Cloud-Based Gaming - Advances in Multimedia and Interactive Technologies ◽

10.4018/978-1-5225-0546-4.ch001 ◽

2017 ◽

pp. 1-24

Author(s):

Sharon Moses J. ◽

Dhinesh Babu L. D. ◽

Nirmala M. ◽

M. Rajasekhara Babu ◽

P. Venkata Krishna

Keyword(s):

Growth Rate ◽

Cloud Computing ◽

Service Provider ◽

Quality Of Experience ◽

Computing Technology ◽

Web Browser ◽

Thin Client

Cloud gaming-as-a-service is emerging as one of the potential revenue generating futuristic fields with a higher growth rate. Cloud gaming service is an entertainment service that depends totally on the cloud computing technology. Cloud gaming delivers games to the gamers, anywhere at any time without any gaming specific hardware and without diminishing the gamer's quality of experience. From getting the user command to rendering the graphics, everything is processed at the gaming service provider end. The only need for the gamer is to use a thin client like web browser to access the cloud game server. In this chapter, we have detailed about the cloud game systems, cloud game services, issues in cloud gaming, economics of cloud gaming, research prospects and the evolution of cloud gaming service.

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Measurement of Objective Video Quality in Social Cloud Based on Reference Metric

Wireless Communications and Mobile Computing ◽

10.1155/2020/5028132 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13 ◽

Cited By ~ 2

Author(s):

Sajida Karim ◽

Hui He ◽

A. R. Junejo ◽

Mariyam Sattar

Keyword(s):

Quality Of Experience ◽

Signal To Noise Ratio ◽

Video Quality ◽

Research Work ◽

Quality Analysis ◽

Multimedia Services ◽

Quality Degradation ◽

Full Reference ◽

Social Cloud

This paper explores the objective of the present video quality analysis (VQA) and measures the full reference metrics keeping in view the quality degradation. During the research work, we conduct experiments on different social clouds (SCs) and low-quality videos. Selected videos are uploaded to SC to assess differences in video service and quality. WeChat shows that the average of all videos (Avg = 100), peak signal-to-noise ratio (PSNR), has no impact on other indicators. Therefore, we believe that WeChat provides the best video quality and multimedia services to their users to meet Quality of Service (QoS)/Quality of Experience (QoE).

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Review and Analysis of Cloud Computing Quality of Experience

Proceedings of the International Workshop on Emerging Software as a Service and Analytics ◽

10.5220/0004982800830088 ◽

2014 ◽

Keyword(s):

Cloud Computing ◽

Quality Of Experience

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A Study on Task Scheduling in Mobile Cloud Computing

International Journal of Scientific Research in Science and Technology ◽

10.32628/cseit183882 ◽

2018 ◽

pp. 244-246

Author(s):

J. Arockia Mary ◽

P. Xavier Jeba ◽

P. Mercy

Keyword(s):

Cloud Computing ◽

Mobile Device ◽

Data Transmission ◽

Mobile Applications ◽

Quality Of Experience ◽

Mobile Cloud Computing ◽

Limited Resource ◽

Mobile Cloud ◽

Task Dependency

In mobile device, the resources such as computation, storage, power are limited. Quality of Experience (QoE) of user in these limited resource mobile device is not satisfied. Mobile cloud computing is a new computation paradigm to increase Quality of Service (QoS) of mobile applications by scheduling the offloaded tasks into the cloud. The scheduling of tasks is done in four architectures of mobile cloud computing. Two types of scheduling are done with lot of constraints such as data transmission, task dependency and cost etc. Different scheduling techniques are developed to improve the QoE of mobile users.

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