scholarly journals A Mobile Cloud Computing Framework Integrating Multilevel Encoding for Performance Monitoring in Telerehabilitation

2015 ◽  
Vol 2015 ◽  
pp. 1-14
Author(s):  
Saiyi Li ◽  
Hai Trieu Pham ◽  
M. Sajeewani Karunarathne ◽  
Yee Siong Lee ◽  
Samitha W. Ekanayake ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Performance Monitoring ◽  
Mobile Cloud Computing ◽  
Low Cost ◽  
Mobile Cloud ◽  
Human Beings ◽  
Encoding Scheme ◽  
Data Encoding ◽  
Remote Healthcare ◽  
And Performance

Recent years have witnessed a surge in telerehabilitation and remote healthcare systems blessed by the emerging low-cost wearable devices to monitor biological and biokinematic aspects of human beings. Although such telerehabilitation systems utilise cloud computing features and provide automatic biofeedback and performance evaluation, there are demands for overall optimisation to enable these systems to operate with low battery consumption and low computational power and even with weak or no network connections. This paper proposes a novel multilevel data encoding scheme satisfying these requirements in mobile cloud computing applications, particularly in the field of telerehabilitation. We introduce architecture for telerehabilitation platform utilising the proposed encoding scheme integrated with various types of sensors. The platform is usable not only for patients to experience telerehabilitation services but also for therapists to acquire essential support from analysis oriented decision support system (AODSS) for more thorough analysis and making further decisions on treatment.

scholarly journals Novel Scheme for Enhancing Storage Management and Performance and Saving Energy of Mobile Cloud Computing

2019 ◽  
Vol 15 (5) ◽  
pp. 648-663
Author(s):  
Ali A. Yassin ◽  
Abdulla J. Yassin ◽  
Abdullah Mohammed Rashid ◽  
Ahmed A. Alkadhmawee
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Storage Management ◽  
Mobile Cloud ◽  
Saving Energy ◽  
And Performance

scholarly journals Toward Serverless and Efficient Encrypted Deduplication in Mobile Cloud Computing Environments

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Youngjoo Shin ◽  
Junbeom Hur ◽  
Dongyoung Koo ◽  
Joobeom Yun
Keyword(s):  
Cloud Computing ◽  
Cloud Storage ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Data Deduplication ◽  
Collusion Resistance ◽  
Indexing Structure ◽  
Computing Environments ◽  
And Performance ◽  
Cloud Storage Services

With the proliferation of new mobile devices, mobile cloud computing technology has emerged to provide rich computing and storage functions for mobile users. The explosive growth of mobile data has led to an increased demand for solutions that conserve storage resources. Data deduplication is a promising technique that eliminates data redundancy for storage. For mobile cloud storage services, enabling the deduplication of encrypted data is of vital importance to reduce costs and preserve data confidentiality. However, recently proposed solutions for encrypted deduplication lack the desired level of security and efficiency. In this paper, we propose a novel scheme for serverless efficient encrypted deduplication (SEED) in mobile cloud computing environments. Without the aid of additional servers, SEED ensures confidentiality, data integrity, and collusion resistance for outsourced data. The absence of dedicated servers increases the effectiveness of SEED for mobile cloud storage services, in which user mobility is essential. In addition, noninteractive file encryption with the support of lazy encryption greatly reduces latency in the file-upload process. The proposed indexing structure (D-tree) supports the deduplication algorithm and thus makes SEED much more efficient and scalable. Security and performance analyses prove the efficiency and effectiveness of SEED for mobile cloud storage services.

scholarly journals A survey of mobile cloud computing offloading concepts based on measurements and algorithms

2018 ◽  
Vol 7 (2.26) ◽  
pp. 13
Author(s):  
SK Piramu Preethika ◽  
R Gobinath
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Battery Life ◽  
Mobile Cloud ◽  
Human Beings ◽  
Research Subjects ◽  
Rapid Enlargement ◽  
Basic Ideas ◽  
The Moment ◽  
Smart Mobile

Handheld computing devices at the moment everywhere in the arms of generation dependent human beings of every age. Clients are looking for new innovative thoughts to first and best utilization of Smart Mobile Devices. The rapid enlargement of the number of clever telephone users has given rise of various research subjects. While the technological advancements are happening from hardware and package levels, novel ideas are being introduced. One amongst those ideas is Mobile Cloud computing which is the mix of cloud computing, mobile compu-ting and wireless networks to bring wealthy process resources to mobile users, network operators, yet as cloud computing suppliers. MCC offloading is a technique to overcome the barriers like battery life, memory usage, computation difficulties faced in Mobile computing with the help of cloud. This survey not only focuses on the concepts of offloading, it also concentrates on the measurements and basic ideas of Mobile Cloud computing related algorithms. 

An Architecture of Mobile Internet Base on Cloud Computing

2012 ◽  
Vol 457-458 ◽  
pp. 38-41 ◽  
Author(s):  
Shu Gang Liu
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Cloud Computing ◽  
Low Cost ◽  
General Concept ◽  
End Users ◽  
Mobile Internet ◽  
Mobile Cloud ◽  
Level System

Cloud computing is a general concept in which services do not depend on the end users' physical locations or configuration of their systems that deliver the services. The purpose of cloud computing is to merge several low cost computing units to one higher level system with strong computing ability. Cloud computing for mobile devices is a very appealing and potentially lucrative trend. This paper will consider privacy and other concerns related to cloud computing. These issues could cause a barrier to widespread use of mobile cloud computing and methods for resolving these issues could accelerate its adoption.

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