Advance Reservation Requests

Accepted paper for presentation in GECON 2012

An Economic Agent Maximizing Cloud Provider Revenues Under a Pay-as-you-Book Pricing Model by Felipe Díaz Sánchez, Elias A. Doumith, Sawsan Al Zahr, and Maurice Gagnaire.

Abstract: The Cloud computing paradigm offers the illusion of infinite resources accessible to end-users anywhere at anytime. In such dynamic environment, managing distributed heterogenous resources is challenging. A Cloud workload is typically decomposed into advance reservation and on-demand requests. Under advance reservation, end-users have the opportunity to reserve in advance the estimated required resources for the completion of their jobs without any further commitment. Thus, Cloud service providers can make a better use of their infrastructure while provisioning the proposed services under determined policies and/or time constraints. However, estimating end-users resource requirements is often error prone. Such uncertainties associated with job execution time and/or SLA satisfaction significantly increase the complexity of the resource management.


From Network Planning to Traffic Engineering in Multi-layer Networks

From Network Planning to Traffic Engineering in Multi-layer Networks
From Network Planning to Traffic Engineering in Multi-layer Networks
A Focus on Grooming and Rerouting Strategies
Elias A. Doumith
LAP Lambert Academic Publishing
ISBN-13: 978-3-8465-2777-1
ISBN-10: 3846527777
EAN: 9783846527771

Abstract: High-performance transport networks are expected to support applications with various types of traffic flows (permanent, scheduled, bursty, and noisy). Since high-performance networks usually employ optical network infrastructures and since most applications require sub-wavelength bandwidth, several streams are groomed on the same wavelength. It is therefore important that such networks are designed in an optimal way in terms of cost while efficiently supporting these types of traffic. This book deals with the design and analysis of optical networks allowing for traffic engineering including grooming and rerouting functionalities. Both deterministic and random traffic scenarios are considered. Under deterministic traffic conditions, optimal as well as accurate heuristic approaches are developed for network design and operation. Under random traffic conditions, the dynamic routing and grooming problem is considered subject to the availability of free network resources. Several algorithms are developed to facilitate this provisioning problem. At last, rerouting techniques and their implementation are addressed in order to enhance network efficiency under specific traffic scenarios.

Keywords: Traffic Engineering, Network Design, Routing and Wavelength Assignment, Optimization Techniques, Traffic Grooming, Rerouting Strategies, Multi-layer Network, ILP Formulation, Meta-heuristic Approaches, Scheduled Traffic Demands, Random Traffic Demands


Copyright © 1996-2010 Elias A. Doumith. All rights reserved.
iDream theme by Templates Next | Powered by WordPress