Ms. Leslie S. Liu Profile

Leslie S. Liu

Research Assistant at Univ of Southern California

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 17 January 2005 Paper

ACTIVE: adaptive low-latency peer-to-peer streaming

Roger Zimmermann, Leslie Liu

Proceedings Volume 5680, (2005) https://doi.org/10.1117/12.587482

KEYWORDS: Control systems, Switches, Optimization (mathematics), Relays, Computer simulations, Receivers, Telecommunications, Operating systems, Computing systems, Reconstruction algorithms

Read Abstract +

Peer-to-peer (P2P) streaming is emerging as a viable communications paradigm. Recent research has focused on building efficient and optimal overlay multicast trees at the application level. However, scant attention has been paid to interactive scenarios where the end-to-end delay is crucial. Furthermore, even algorithms that construct an optimal minimum spanning tree often make the unreasonable assumption that the processing time involved at each node is zero. However, these delays can add up to a significant amount of time after just a few overlay hops and make interactive applications difficult. In this paper, we introduce a novel peer-to-peer streaming architecture called ACTIVE that is based on the following observation. Even in large group discussions only a fraction of the users are active at a given time. We term these users, who have more critical demands for low-latency, active users. The ACTIVE system significantly reduces the end-to-end delay experienced among active users while at the same time being capable of providing streaming services to very large multicast groups. ACTIVE uses realistic processing assumptions at each node and dynamically optimizes the multicast tree while the group of active users changes over time. Consequently, it provides virtually all users with the low-latency service that before was only possible with a centralized approach. We present results that show the feasibility and performance of our approach.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years