Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
Optimal server allocation in a system of multi-server stations
Management Science
On server allocation in multiple center manufacturing systems
Operations Research
On the optimal allocation of servers and workloads in closed queueing networks
Operations Research
Optimal workload allocation in open networks of multiserver queues
Management Science
Partitioning Customers Into Service Groups
Management Science
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Hi-index | 0.00 |
We examine the resource allocation problem of partitioning identical servers into two parallel pooling centers, and simultaneously assigning job types to pooling centers. Each job type has a distinct Poisson arrival rate and a distinct holding cost per unit time. Each pooling center becomes a queueing system with an exponential service time distribution. The goal is to minimize the total holding cost. The problem is shown to be polynomial if a job type can be divided between the pooling centers, and NP-hard if dividing job types is not possible. When there are two servers and jobs cannot be divided, we demonstrate that the two pooling center configuration is rarely optimal. A heuristic which checks the single pooling center has an upper bound on the relative error of 4/3. The heuristic is extended for the multiple server problem, where relative error is bounded above by the number of servers.