An Adaptive Quality of Service Aware Middleware for Replicated Services

In this thesis we describe the adaptive framework and present the probabilistic models we have developed for the cases in which the replicated content is either static or dynamic. We discuss experimental results that validate the models, and compare the timeliness/consistency tradeoffs under different scenarios. The experimental results demonstrate the role of feedback and the efficacy of simple analytical models for adaptively sharing the available replicas among the users. Given the increasing demand for different services and the diversity of the requirements of clients, such adaptive frameworks that rely on feedback-based resource allocation are likely to play an increasing role in a range of problems related to building dependable systems.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Krishnamurthy, Sudha

Contributors dc:contributor

• Sanders, William H.

• Computer Science

Language dc:language

eng

Identifier

(MiAaPQ)AAI3070358

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81608