A Power Consumption Benchmark Framework for Ontology Reasoning on Android Devices

نویسندگان

  • Edgaras Valincius
  • Hai H. Nguyen
  • Jeff Z. Pan
چکیده

Ontology reasoning, in particular query answering with Description Logics-based ontologies, is a power-consuming task, especially in mobile settings where such a resource is limited and shared by other processes. To be able to determine whether a reasoning task will be consuming significant amount of power, a benchmark framework will be needed for ontology designers and reasoner developers. In this paper, we report our work on a power consumption benchmark framework that can be used to evaluate and compare the level of battery consumption of different Description Logics reasoners on Android devices. To calculate the power consumption of the reasoners, we measured the current flow and the voltage of the integrated battery. We focus on Android-based devices and evaluate the framework using 3 popular DL reasoners.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Power Consumption Benchmark for Reasoners on Mobile Devices

We introduce a new methodology for benchmarking the performance per watt of semantic web reasoners and rule engines on smartphones to provide developers with information critical for deploying semantic web tools on power-constrained devices. We validate our methodology by applying it to three well-known reasoners and rule engines answering queries on two ontologies with expressivities in RDFS a...

متن کامل

A context-aware multi-agent framework for distributed reasoning on Android devices by B.V.S

This thesis presents the design and implementation of a software framework for distributed reasoning on Android devices. The JPR Agent Library can be used to create agents directly from a Prolog implementation deployable on Android. Each agent contains a knowledge base(KB) and an inference engine. Knowledge sharing is facilitated through a simple message passing scheme. A sample Android applica...

متن کامل

Predicting Energy Consumption of Ontology Reasoning over Mobile Devices

The unprecedented growth in mobile devices, combined with advances in Semantic Web (SW) Technologies, has given birth to opportunities for more intelligent systems on-the-go. Limited resources of mobile devices demand approaches that make mobile reasoning more applicable. While Mobile-Cloud integration is a promising method for harnessing the power of semantic technologies in the mobile infrast...

متن کامل

Towards Energy Efficient Multimedia Streaming to Mobile Devices

In the last few years the mobile devices have been increasingly used as part of the people daily routines. The Android smartphones and tablets are responsible for a large part of this increase and are used around the clock, causing the energy consumption in these devices to be a concern. Since these devices are most of the time connected to the Internet, the energy consumed by the IEEE 802.11 i...

متن کامل

BLAST: Battery Lifetime-constrained Adaptation with Selected Target in Mobile Devices

Mobile devices today contain many power hungry subsystems and execute different applications. Standard power management is not aware of the desired battery lifetime and has no visibility into which applications are executing. However, power consumption is strongly dependent on which applications are executed. In this work, we propose a novel power characterization strategy for mobile devices ca...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015