An energy-saving task scheduler for mobile devices

Abstract

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to resourceful servers is an effective method to reduce energy consumption and enhance performance for mobile applications. Today, most mobile devices have fast wireless link such as 4G and Wi-Fi, making cloud platform a good destination for computation offloading. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be executed. This paper presents Jade, a system that adds sophisticated energy-aware computation offloading capabilities to Android applications. Jade monitors device and application status and automatically decides where code should be executed. Jade dynamically adjusts offloading strategy by adapting to workload variation, communication costs, and device status. Jade minimizes the burden on developers to build applications with computation offloading ability by providing easy-to-use Jade API. Evaluation shows that Jade can effectively reduce up to 35% of average power consumption for mobile device while improving application performance.

Automate Scientific Workflow Execution between Local Cluster and Cloud

“…Emerald was also built upon previous research regarding program partitioning, code offloading, and remote execution [4] and [5]. Computation offloading is an effective method to alleviate the restrictions of local computer by sending heavy computations to resourceful servers and receiving results from these servers [6] and [7]. Many issues related to computation offloading have been investigated in the past decade, including feasibility of offloading, offloading decisions, and development of offloading infrastructures.…”

Reducing mobile device energy consumption with computation offloading

“…One popular technique to reduce energy consumption of mobile devices is computation offloading in which an application reduces energy consumption by delegating code execution to other devices ( [3], [4] and [5]). Traditionally, compu-tations are offloaded to remote, resource-rich servers [6].…”

Energy-Aware Analysis of Synchronizing a Groupware Calendar

“…In Chen et al [4], the authors argue that there is large space for energy saving on mobile applications based on application design, for which the authors propose a framework aiming to add an energy adaptation layer by providing a set of APIs and adaptation policies. Some authors [11], [14] exploit the offloading capabilities of executing certain tasks at server side. While there are several works on performance evaluation of Android systems (e.g.…”