ACM Transactions on

Autonomous and Adaptive Systems (TAAS)

Latest Articles

Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach

Crowdsourcing has recently been significantly explored. Although related surveys have been conducted regarding this subject, each has mainly consisted... (more)

Adaptive Process Migrations in Coupled Applications for Exchanging Data in Local File Cache

Many problems in science and engineering are usually emulated as a set of mutually interacting models, resulting in a coupled or multiphysics... (more)

Decentralized Collective Learning for Self-managed Sharing Economies

The Internet of Things equips citizens with a phenomenal new means for online participation in sharing economies. When agents self-determine options... (more)

SDN Flow Entry Management Using Reinforcement Learning

Modern information technology services largely depend on cloud infrastructures to provide their services. These cloud infrastructures are built on top... (more)


New EiC

ACM Transactions on Autonomous and Adaptive Systems Names Bashar Nuseibeh as EiC

ACM Transactions on Autonomous and Adaptive Systems (TAAS) has named Bashar Nuseibeh as Editor-in-Chief, for the term October 1, 2017 to September 30, 2020. Bashar is a Professor of Computing at The Open University, UK,  and a Professor of Software Engineering at Lero - The Irish Software Research Centre. He is also Visiting Professor at University College London and at the National Institute of Informatics in Japan.

SOD: Making Smartphone Smart on Demand with Radio Interface Management

A major concern for today's smartphones is their much faster battery drain than traditional feature phones. The difference is mainly contributed by those more powerful but also much more power-consuming smartphone components, such as the multi-core application processor and the high-definition (HD) display. In this paper, we investigate how to increase the battery life of smartphones by minimizing the use of application processor and HD display for operations related to basic functions. We find that the application processor is often waken up by a process running on it, called the Radio Interface Layer Daemon (RILD), which interfaces users/apps to the GSM/LTE cellular network. Consequently, we design a Smart On Demand (SOD) configuration that reduces the smartphone energy consumption by running RILD on a secondary low-power microcontroller and by using a secondary low-power display to interface the user with basic functions. Thus, basic phone functions are handled at much lower energy costs while the power-consuming application processor and HD display are waken up only when one needs to use smart apps. We have built a prototype of SOD and evaluated it with real user traces. Our results show that SOD can increase its battery life by up to 2.5 more days.

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