Optimal control of the service rate of an exponential queuing network using Markov decision theory

1990 ◽  
Vol 21 (12) ◽  
pp. 2553-2563 ◽  
Author(s):  
MUSTAFA M. ALIDRISI
2022 ◽  
pp. 194-211
Author(s):  
Kamalendu Pal

The word crowdsourcing, a compound contraction of crowd and outsourcing, was introduced by Jeff Howe in order to define outsourcing to the crowd. It is a sourcing model in which individuals or organizations obtain goods and services. These services include ideas and development of software or hardware, or any other business-task from a large, relatively open and often rapidly-evolving group of internet users; it divides work between participants to achieve a cumulative result. It has been used for completing various human intelligence tasks in the past, and this is an emerging form of outsourcing software development as it has the potential to significantly reduce the implementation cost. This chapter analyses the process of software development at a crowdsourced platform. The work analyses and identifies the phase wise deliverables in a competitive software development problem. It also proposes the use of Markov decision theory to model the dynamics of the development processes of a software by using a simulated example.


1991 ◽  
Vol 28 (01) ◽  
pp. 210-220
Author(s):  
Kazuyoshi Wakuta

We consider the optimal control of an M/G/1 queue with finite input source. The queue length, however, can be only imperfectly observed through the observations at the initial time and the times of successive departures. At these times, the service rate can be chosen, based on the observable histories. A service cost and a holding cost are incurred. We show that such a control problem can be formulated as a semi-Markov decision process with imperfect state information, and present sufficient conditions for the existence of an optimal stationary I-policy.


1979 ◽  
Vol 30 (4) ◽  
pp. 395
Author(s):  
Godwin C. Ovuworie ◽  
H. C. Tijms ◽  
J. Wessels

1979 ◽  
Vol 142 (1) ◽  
pp. 67
Author(s):  
J. A. Bather ◽  
H. C. Tijms ◽  
J. Wessels

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