دانلود مقاله A Study on Critical Analysis of Computational Offloading Frameworks for Mobile Cloud Computing انتشار 2015

اختصاصی از حامی فایل دانلود مقاله A Study on Critical Analysis of Computational Offloading Frameworks for Mobile Cloud Computing انتشار 2015 دانلود با لینک مستقیم و پر سرعت .

Journal of Network and Computer Applications

Volume 47, January 2015, Pages 47–60

Muhammad Shiraz*, Mehdi Sookhak, Abdullah Gani, Syed Adeel Ali Shah

Abstract
Despite of substantial technological advancements in the recent years, Smart Mobile Devices (SMDs) are still low potential computing
devices. Therefore, Mobile Cloud Computing (MCC) deploys computational offloading for augmenting SMDs. The contemporary Computational
Offloading Frameworks (COFs) implement resources intensive procedures for computational offloading, which involve the overhead of
transmitting application binary code and deployment of distributed platform at runtime. As a result, energy consumption cost and turnaround
time of the mobile application and overhead of data transmission is increased. Nevertheless, the resources limited nature of SMDs requires
lightweight technique for leveraging the application processing services of computational clouds. This paper critically analyzes the resource
intensive nature of the latest existing computational offloading techniques for MCC and highlights technical issues in the establishment of
distributed application processing platform at runtime. A prototype application is evaluated with different computation intensities in the real
MCC environment. Analysis of the results shows that additional computing resources are utilized in the deployment of distributed application
processing platform at runtime such as: 31.6 % additional energy is consumed, 39% additional time is taken and 13241.2 KB data is transmitted
in offloading different computational intensive components of the prototype mobile application. Finally, we highlight technical issues in the
existing computational offloading techniques for MCC, which draw attention for the future research in computational offloading for MCC and
assist in developing lightweight procedures for computational offloading in MCC.

Keywords: Mobile Cloud Computing, Distributed Systems, Computational offloading, Resource Intensive,
Lightweight

اختصاصی از حامی فایل Precise execution offloading for applications with dynamic behavior in mobile cloud computing دانلود با لینک مستقیم و پر سرعت .

Precise execution offloading for applications with dynamic behavior in mobile cloud computing

ژورنال:Pervasive and Mobile Computing

سال: October 2015

قیمت اصلی:41.95$

Abstract

In order to accommodate the high demand for performance in smartphones, mobile cloud computing techniques, which aim to enhance a smartphone’s performance through utilizing powerful cloud servers, were suggested. Among such techniques, execution offloading, which migrates a thread between a mobile device and a server, is often employed. In such execution offloading techniques, it is typical to dynamically decide what code part is to be offloaded through decision making algorithms. In order to achieve optimal offloading performance, however, the gain and cost of offloading must be predicted accurately for such algorithms. Previous works did not try hard to do this because it is usually expensive to make an accurate prediction. Thus in this paper, we introduce novel techniques to automatically generate accurate and efficient method-wise performance predictors for mobile applications and empirically show they enhance the performance of offloading.

Keywords

• Mobile cloud computing, Execution offloading, Performance prediction