NDLI: Energy efficient network data transport through adaptive compression using the DEEP platforms

Content Provider	IEEE Xplore Digital Library
Author	Singh, D. Kaiser, W.J.
Copyright Year	2012
Description	Author affiliation: Department of Electrical Engineering, University of California, Los Angeles, USA (Singh, D.; Kaiser, W.J.)
Abstract	Direct measurement of event and component resolved energy dissipation in computing systems is critical for energy optimization of computing and networking applications. Prior research focuses on development of energy consumption models and custom-built energy measurement systems, but suffers from critical drawbacks. This paper addresses these limitations and presents solutions using DEEP (Decision-support for Energy Efficient Processing). DEEP is a rapidly-deployed open-source energy measurement platform architecture. The platform provides an unprecedented ability to non-intrusively measure the energy consumption associated with execution of software application code. DEEP is implemented as both an online and offline version. Evaluation demonstrates processing and energy overheads less than 1% for offline and about 5% for the online implementation. The DEEP implementation investigates the impact of data compression on network data transport. An intelligent data compression and transport algorithm is developed using the decision-support capabilities of DEEP. The algorithm creates significant energy savings (38%) in network data transport using dynamic selection of compression schemes to adapt to varying system and wireless network conditions.
Starting Page	253
Ending Page	260
File Size	422878
Page Count	8
File Format	PDF
ISBN	9781467314299
ISSN	21604886
e-ISBN	9781467314305
DOI	10.1109/WiMOB.2012.6379084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-08
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption data compression Data acquisition Energy measurement Computer architecture wireless networks Hardware Software energy-efficient algorithms energy measurement Synchronization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Efficient Sensor Network Reprogramming through Compression of Executable Modules

Impact of data compression on energy consumption of wireless-networked handheld devices

Evaluation of synchronization methods by means of software defined radio architectures

Prolonging Sensor Network Lifetime Through Wireless Charging

Fine-Grain Adaptive Compression in Dynamically Variable Networks

K-RLE: A New Data Compression Algorithm for Wireless Sensor Network

Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks

In-Network Outlier Detection in Wireless Sensor Networks

Wireless platforms: GOPS for cents and MilliWatts

Energy efficient network data transport through adaptive compression using the DEEP platforms

Similar Documents

Efficient Sensor Network Reprogramming through Compression of Executable Modules

Impact of data compression on energy consumption of wireless-networked handheld devices

Evaluation of synchronization methods by means of software defined radio architectures

Prolonging Sensor Network Lifetime Through Wireless Charging

Fine-Grain Adaptive Compression in Dynamically Variable Networks

K-RLE: A New Data Compression Algorithm for Wireless Sensor Network

Energy-efficient spatially-adaptive clustering and routing in wireless sensor networks

In-Network Outlier Detection in Wireless Sensor Networks

Wireless platforms: GOPS for cents and MilliWatts

Energy efficient network data transport through adaptive compression using the DEEP platforms