Accession Number:

ADA571274

Title:

Wide-Area Traffic Management for Cloud Services

Descriptive Note:

Doctoral thesis

Corporate Author:

PRINCETON UNIV NJ

Personal Author(s):

Report Date:

2012-04-01

Pagination or Media Count:

149.0

Abstract:

Cloud service providers CSPs need effective ways to distribute content across wide area networks. Providing large-scale, geographically-replicated online services presents new opportunities for coordination between server selection to match subscribers with servers, traffic engineering to select efficient paths for the traffic, and content placement to store content on specific servers. Traditional designs isolate these problems, which degrades performance, scalability, reliability and responsiveness. We leverage the theory of distributed optimization, cooperative game theory and approximation algorithms to provide solutions that jointly optimize these design decisions that are usually controlled by different institutions of a CSP. This dissertation proposes a set of wide-area traffic management solutions, which consists of the following three thrusts i Sharing information We develop three cooperation models with an increasing amount of information exchange between the ISPs Internet Service Provider traffic engineering and the CDNs Content Distribution Network server selection. We show that straightforward ways of sharing information can be quite sub-optimal, and propose a Nash bargaining solution to reduce the efficiency loss. This work sheds light on ways that different groups of a CSP can communicate to improve their performance. ii Joint control We propose a content distribution architecture by federating geographically or administratively separate groups of last-mile CDN servers e.g., nano data centers located near end users. We design a set of mechanisms to solve a joint content placement and request routing problem under this architecture, achieving both scalability and cost optimality. This work demonstrates how to jointly control multiple traffic management decisions that may have different resolutions e.g., inter vs. intra ISP, and may happen at different timescales e.g., minutes vs. several times a day.

Subject Categories:

  • Computer Systems
  • Computer Systems Management and Standards

Distribution Statement:

APPROVED FOR PUBLIC RELEASE