| NSF Org: |
CNS Division Of Computer and Network Systems |
| Recipient: |
|
| Initial Amendment Date: | January 22, 2008 |
| Latest Amendment Date: | March 30, 2012 |
| Award Number: | 0746649 |
| Award Instrument: | Continuing Grant |
| Program Manager: |
Thyagarajan Nandagopal
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
| Start Date: | June 1, 2008 |
| End Date: | January 31, 2015 (Estimated) |
| Total Intended Award Amount: | $358,916.00 |
| Total Awarded Amount to Date: | $450,000.00 |
| Funds Obligated to Date: |
FY 2009 = $180,977.00 FY 2011 = $89,903.00 FY 2012 = $89,559.00 |
| History of Investigator: |
|
| Recipient Sponsored Research Office: |
4400 UNIVERSITY DR FAIRFAX VA US 22030-4422 (703)993-2295 |
| Sponsor Congressional District: |
|
| Primary Place of Performance: |
4400 UNIVERSITY DR FAIRFAX VA US 22030-4422 |
| Primary Place of
Performance Congressional District: |
|
| Unique Entity Identifier (UEI): |
|
| Parent UEI: |
|
| NSF Program(s): |
ADVANCED NET INFRA & RSCH, Networking Technology and Syst |
| Primary Program Source: |
01000910DB NSF RESEARCH & RELATED ACTIVIT 01001112DB NSF RESEARCH & RELATED ACTIVIT 01001213DB NSF RESEARCH & RELATED ACTIVIT |
| Program Reference Code(s): |
|
| Program Element Code(s): |
|
| Award Agency Code: | 4900 |
| Fund Agency Code: | 4900 |
| Assistance Listing Number(s): | 47.070 |
ABSTRACT
Wireless Internet streaming is hindered by a number of obstacles that are rooted from limited available resources on wireless devices. Existing solutions commonly demand additional infrastructure support or seek a trade-off between user perceived streaming quality and resource consumption on wireless devices. In contrast, there are fast growing Internet resources that are not fully and well utilized.
The main objective of this CAREER project is to layout scientific foundations on resource management in Internet and wireless networks. Specifically, algorithms will be designed and systems will be implemented to effectively utilize the existing abundant under-utilized or idle Internet resources to improve the streaming performance on wireless devices for both server-based and P2P-based on-demand and live streaming. For this purpose, the under-utilized Internet resources (e.g., bandwidth) and application communication patterns are being leveraged to minimize data transmission power without degrading the application's performance. Furthermore, idle peer computing resources are being utilized and novel distributed online content adaptation schemes are being designed to address multi-dimensional heterogeneity of wireless devices. In addition, the unused covert communication channel and application characteristics are being exploited to design a set of new security protection schemes to satisfy the demand of future wireless Internet streaming services.
The efficient Internet resource management techniques to be developed through this CAREER project are expected to address these critical issues in wireless Internet streaming and to enable pervasive and high-quality wireless Internet streaming accesses a reality.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
Note:
When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external
site maintained by the publisher. Some full text articles may not yet be available without a
charge during the embargo (administrative interval).
Some links on this page may take you to non-federal websites. Their policies may differ from
this site.
PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Internet streaming services, such as YouTube, are very popular today. As a result, the Internet streaming traffic contributes a dominant portion of the Internet traffic. Today with the increasingly popular and pervasive mobile devices adopted by end-users, more and more users enjoy receiving Internet streaming services on their mobile devices. However, compared to the traditional desktop counterparts, Internet streaming receiving on mobile devices faces several challenges that are non-existing to their desktop counterpart. For example, mobile devices are often battery powered and a continuous streaming session can quickly exhaust the limited battery power supply, leaving the device dead before being recharged. Besides the inherent battery power constraint, mobile devices also exhibit great varieties in terms of hardware and software, such as the screen size and color depth, and various mobile operating systems, such as iOS and Android. Thus, a video that is good for one device with a large screen may not be properly displayed on another device with a smaller screen. Furthermore, these problems are often entangled together. For example, efficiently addressing the multi-dimensional device heterogeneity problem demands efficient transcoding, which often consumes a lot of CPU cycles. If this is conducted on a mobile device, a lot of battery power will be consumed.
The research supported by this award has mainly concerned on these issues. To examine the impact of streaming applications on the battery power consumption, we have conducted experiments locally in a lab environment and on the Internet. Our measurement and analysis results show that in practice, the limited battery power severely impacts users experience. To reduce the power consumption in streaming sessions, we have looked into the various components in a mobile device that may impact the battery power consumption. These include the wireless network card for data reception and transmission, the CPU for video decoding and transcoding, and the display for video displaying. Accordingly we have designed, implemented, and evaluated new schemes to reduce the corresponding power consumption without degrading the user-perceived streaming quality. We have taken a similar approach to deal with the other challenges, such as multi-dimensional device heterogeneity, security, and other related issues.
The research supported by this award has produced about 30 peer reviewed papers published at various journals, conferences, and workshops, including ACM Transactions on Multimedia Computing, Communications and Applications, IEEE transactions on Multimedia, ACM multimedia conferences, IEEE INFOCOM, IEEE ICDCS, ACM NOSSDAV, etc. We have also presented our results in various occasions, including the International conferences and workshops mentioned here. Some of our research outcomes have also been included in the class teaching in other universities. Two Ph.D. students who have involved in the research of this project have graduated. One of them, a female, has started as a faculty member in another university, while the other student has joined the industry.
Last Modified: 03/02/2015
Modified by: Songqing Chen
Please report errors in award information by writing to: awardsearch@nsf.gov.
