111,68 €
124,09 €
-10% with code: EXTRA
Analysis of Scheduling Policies for A M/G/1 Queue with Rework
Analysis of Scheduling Policies for A M/G/1 Queue with Rework
111,68
124,09 €
  • We will send in 10–14 business days.
This thesis analyzes a multi-class M/G/1 priority queueing system in which distinct job types require one service cycle and, with non-zero probability, require a second service cycle. The main objective is to find a new heuristic scheduling policy that minimizes the long-run expected holding and preemption costs. Arrival rates, service rates, and the probability of undertaking second service are all class specific. A mean value analysis (MVA) approach was employed to derive the long-run mean ti…
  • SAVE -10% with code: EXTRA

Analysis of Scheduling Policies for A M/G/1 Queue with Rework (e-book) (used book) | bookbook.eu

Reviews

Description

This thesis analyzes a multi-class M/G/1 priority queueing system in which distinct job types require one service cycle and, with non-zero probability, require a second service cycle. The main objective is to find a new heuristic scheduling policy that minimizes the long-run expected holding and preemption costs. Arrival rates, service rates, and the probability of undertaking second service are all class specific. A mean value analysis (MVA) approach was employed to derive the long-run mean time in queue for each job type under each policy, thereby providing the appropriate cost equations. Numerical experiments suggest that the preemptive resume scheduling policy yields the lowest cost most frequently.

EXTRA 10 % discount with code: EXTRA

111,68
124,09 €
We will send in 10–14 business days.

The promotion ends in 18d.08:06:56

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 1,24 Book Euros!?

This thesis analyzes a multi-class M/G/1 priority queueing system in which distinct job types require one service cycle and, with non-zero probability, require a second service cycle. The main objective is to find a new heuristic scheduling policy that minimizes the long-run expected holding and preemption costs. Arrival rates, service rates, and the probability of undertaking second service are all class specific. A mean value analysis (MVA) approach was employed to derive the long-run mean time in queue for each job type under each policy, thereby providing the appropriate cost equations. Numerical experiments suggest that the preemptive resume scheduling policy yields the lowest cost most frequently.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)