Run-time Energy Management for Mobiles

Due to limited energy resources, mobile computing requires an energy-efficient a rchitecture. The dynamic nature of a mobile environment demands an architecture that allows adapting to (quickly) changing conditions. The mobile has to adapt d ynamically to new circumstances in the best suitable manner. The hardware and so ftware architecture should be able to support such adaptability and minimize the energy consumption by making resource allocation decisions at run-time. To make these decisions effective, a tradeoff has to be made between computation , communication and initialization costs (both time and energy). This paper describes our approach to construct a model that supports taking such decisions

Rubikas Cube Application for Android Mobile Phones with Addressing Android Operating System Problems

Android Smart phones enable a new, rich user experience in pervasive computing, but their hardware is still very limited in terms of computation, memory, and energy reserves, thus limiting potential applications. In this paper, we are dealing with battery drain problems and stack overflow problems of android mobile phones. For that we are going to develop Rubik2019;s cube game application. We will test this app on several mobile phones of same configuration and of different manufacturer i.e. Samsung, Motorola, HTC, Sony Ericson, Micromax. In this research we will measure the performance of our app and will conclude about some parameters of Android Operating System i.e. heap utilization, power consumption, smooth and faster execution which will give meaningful information to reveal or solve or address Android Operating System problems in a detailed manner

Mobile Cloud Computing: A Review on Smartphone Augmentation Approaches

Smartphones have recently gained significant popularity in heavy mobile processing while users are increasing their expectations toward rich computing experience. However, resource limitations and current mobile computing advancements hinder this vision. Therefore, resource-intensive application execution remains a challenging task in mobile computing that necessitates device augmentation. In this article, smartphone augmentation approaches are reviewed and classified in two main groups, namely hardware and software. Generating high-end hardware is a subset of hardware augmentation approaches, whereas conserving local resource and reducing resource requirements approaches are grouped under software augmentation methods. Our study advocates that consreving smartphones' native resources, which is mainly done via task offloading, is more appropriate for already-developed applications than new ones, due to costly re-development process. Cloud computing has recently obtained momentous ground as one of the major cornerstone technologies in augmenting smartphones. We present sample execution model for intensive mobile applications and devised taxonomy of augmentation approaches. For better comprehension, the results of this study are summarized in a table

A Power Saving Network Architecture for Accessing the Internet from Mobile Computers: Design, Implementation and Measurements

In this paper we propose a power-saving strategy for accessing the Internet from a mobile computer. Firstly, we measure the power consumption of a mobile computer that uses a TCP connection to send/receive data from the Internet. These measurements indicate that, by adopting TCP, the power consumption is negatively affected by the congestion in the fixed network. To solve this problem we extend the Indirect TCP model to achieve both the TCP reliability and an optimal power consumption level. To test our claim we design and implement a Power-Saving Network Architecture based on an enhanced indirect TCP model. Experimental results show that our approach is a promising development, with respect to the classical TCP approach, to reduce power consumption. Specifically, in our experiments the power consumption, by exploiting the enhanced indirect model, is significantly lower than the power consumption measured when using the legacy TCP approach