Resource-constrained project scheduler

Download

053397.pdf

Date

1996

Author

Kara, Yılmaz

Metadata

Show full item record

Item Usage Stats

44
views

0
downloads

URI

https://hdl.handle.net/11511/9889

Collections

Graduate School of Social Sciences, Thesis

Suggestions

OpenMETU
Core

Resource-aware load balancing system with artificial neural networks Yıldız, Ali; Şener, Cevat; Department of Computer Engineering (2006) As the distributed systems becomes popular, efficient load balancing systems taking better decisions must be designed. The most important reasons that necessitate load balancing in a distributed system are the heterogeneous hosts having different com- puting powers, external loads and the tasks running on different hosts but communi- cating with each other. In this thesis, a load balancing approach, called RALBANN, developed using graph partitioning and artificial neural networks (ANNs) is de- scribed. The ...
Resource management in callular communication networks with subscriber profile prediction Yılmaz, Nusrat; Ergül, Rüyal; Department of Electrical and Electronics Engineering (2005) In this study, a dynamic resource management and subscriber profile prediction scheme for mobile communication systems is presented. The aim is to achieve a high level of QoS for both handoff calls and new calls, while at the same time to improve the utilization of wireless network resources. The simultaneous satisfaction of these two actually conflicting interests will be thanks to two major key features. First, it will be due to the individual subscriber profile based prior information about handoff reser...
Resource sharing and distributed services for local area networks Selbes, Haydar; Tolun, Mehmet R.; Department of Computer Engineering (1988)
Project Cost Benefit and Risk Analysis using Bayesian Networks Yet, Barbaros; Fenton, Norman; Neil, Martin; Luedeling, Eike; Shepherd, Keith (null; 2015-07-16) Uncertainty and risks are common elements of all major projects. Yet such uncertainty is rarely effectively calculated when analysing project costs and benefits. This paper presents a Bayesian network (BN) modelling framework to calculate the costs, benefits, and return on investment of a project over a specified time period, allowing for changing circumstances and trade-offs. The framework uses hybrid and dynamic BNs containing both discrete and continuous variables over multiple time stages. The BN calcul...
Resource management in cellular communication networks with subscriber profile prediction Yilmaz, N; Ergul, R (2004-09-09) in this paper, a dynamic resource management and subscriber profile prediction scheme for mobile communication systems is presented. Using this approach, a high level of QoS for both handoff calls and new calls, and better utilization of wireless network resources has been achieved. The simultaneous satisfaction of these two actually conflicting interests will be due to two key features. First, it is due to the subscriber profile predicted using subscriber data. This apriori information about possible hando...

Citation Formats

Y. Kara, “Resource-constrained project scheduler,” Middle East Technical University, 1996.