اختصاصی از حامی فایل Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing دانلود با لینک مستقیم و پر سرعت .

Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing

ژورنال:Journal of Network and Computer Applications

سال: January 2016

قیمت اصلی:39.95$

Highlights

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The first attempt for extending the functionality of cloudlets.

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Achieve energy-aware performances in the dynamic networking environment.

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Provide future research in the field with the theoretical support and exploring directions.

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The model may be migrated and applied in multiple industries.

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Abstract

Employing mobile cloud computing (MCC) to enable mobile users to acquire benefits of cloud computing by an environmental friendly method is an efficient strategy for meeting current industrial demands. However, the restrictions of wireless bandwidth and device capacity have brought various obstacles, such as extra energy waste and latency delay, when deploying MCC. Addressing this issue, we propose a dynamic energy-aware cloudlet-based mobile cloud computing model (DECM) focusing on solving the additional energy consumptions during the wireless communications by leveraging dynamic cloudlets (DCL)-based model. In this paper, we examine our model by a simulation of practical scenario and provide solid results for the evaluations. The main contributions of this paper are twofold. First, this paper is the first exploration in solving energy waste problems within the dynamic networking environment. Second, the proposed model provides future research with a guideline and theoretical supports.

Keywords

• Mobile cloud computing, Green computing, Dynamic program, Energy-aware,
• Cloudlets

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

منوی موبایلی Maximenu Mobile CK (تجاری)

اختصاصی از حامی فایل منوی موبایلی Maximenu Mobile CK (تجاری) دانلود با لینک مستقیم و پر سرعت .

یک پلاکین ارزشمند برای سازگاری منوی سایتتان با انواع موبایل ها و تبلت ها به صورت پیشرفته