Bandwidth contracting and risk management in communication network services
Authors
Muthuswamy, Praveen Kumar
ORCID
Loading...
Other Contributors
Kar, Koushik
Gupta, Aparna
Abouzeid, Alhussein A.
Sikdar, Biplab
Gupta, Aparna
Abouzeid, Alhussein A.
Sikdar, Biplab
Issue Date
2013-08
Keywords
Electrical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
We first address the risk management problem in end-to-end service provisioning over the Internet. Towards this end, we utilize a contract-switching Internet abstraction, in which the ISPs expose themselves to other ISPs as a set of edge-to-edge contracts. Initially, we study the efficiency of inter-domain traffic engineering using the contract-switching paradigm. Next, we consider the Internet Service Provider's (ISP's) problem of providing end-to-end (e2e) services with bandwidth guarantees. We consider the risks arising from uncertain end-to-end user demand, the possibility of route failures and contract violations, and the uncertainty in the costs involved due to other participating ISPs. We develop path-vector based end-to-end contracting solutions that maximizes the ISP's profit subject to constraints on the risk of profit. In the path-vector based approach, an ISP uses its edge-to-edge (g2g) single-domain contracts and vector of contracts purchased from neighboring ISPs as the building blocks to construct, or participate in constructing, an end-toend "contract path". We develop a spot-pricing framework for the e2e bandwidth guaranteed services utilizing this path contracting strategy, by formulating it as a stochastic optimization problem with the objective of maximizing expected profit subject to risk constraints. We present time-invariant path contracting strategies that offer high expected profit at low risks, and can be implemented in a fully distributed manner. Simulation analysis is employed to evaluate the contracting and pricing framework under different network and market conditions.
Description
August 2013
School of Engineering
School of Engineering
Department
Dept. of Electrical, Computer, and Systems Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
Access
Restricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.