Please use this identifier to cite or link to this item: https://doi.org/10.1109/JLT.2009.2021163
Title: Scheduling network and computing resources for sliding demands in optical grids
Authors: Nguyen, H.-H.
Gurusamy, M. 
Zhou, L.
Keywords: Computational modeling
Dynamic scheduling
Equations
Grid networks
Heuristic algorithms
Optical switches
Processor scheduling
Resource provisioning
Scheduling
Scheduling algorithm
Issue Date: 15-Jun-2009
Source: Nguyen, H.-H., Gurusamy, M., Zhou, L. (2009-06-15). Scheduling network and computing resources for sliding demands in optical grids. Journal of Lightwave Technology 27 (12) : 1827-1836. ScholarBank@NUS Repository. https://doi.org/10.1109/JLT.2009.2021163
Abstract: In this paper, we consider the problem of scheduling lightpaths and computing resources for sliding grid demands in WDM networks. Each sliding grid demand is represented by a tuple (v,R,c,p,q,l), where v is the client node, R is the resource-group which includes a group of predefined resource nodes, is the required amount of computing resources, [p, q] is the time window and l is the demand duration. With each demand, the scheduling algorithm is required to decide the start time t (p < t < q - l), reserve an amount of c computing resources at a resource node v′ ∈ R and provision a primary lightpath as well as a backup lightpath from v′ to v. The reserved computing resources and lightpaths are used during [t,t + l]. Unlike the sequential approach wherein the start time, the network resources (lightpaths) and the computing resources are considered one after another, in our work we use the joint scheduling approach wherein the resources and the start time are examined jointly. We consider sliding demands with static and dynamic arrival patterns. We develop an integer linear programming (ILP) formulation to obtain optimal results. For the reason of scalability, we propose heuristic algorithms based on joint resource scheduling and study their effectiveness through simulation experiments. © 2009 IEEE.
Source Title: Journal of Lightwave Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/57337
ISSN: 07338724
DOI: 10.1109/JLT.2009.2021163
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