CPU Scheduling is the base of multiprogramming. Scheduling is a process which decides order of task from a set of multiple tasks that are ready to execute. There are number of CPU scheduling algorithms available, but it is very difficult task to decide which one is better. This paper discusses the design and implementation of modified fuzzy based CPU scheduling algorithm. This paper present a n...

Disk scheduling is one of the main responsibilities of Operating System. OS manages hard disk to provide best access time. All major Disk scheduling algorithms incorporate seek time as the only factor for disk scheduling. The second factor rotational delay is ignored by the existing algorithms. This research paper considers both factors, Seek Time and Rotational Delay to schedule the disk. Our ...

Considering current situation of production scheduling with uncertainties in modern manufacturing enviroments, flow shop production scheduling model is established based on the theory of fuzzy programming, in which fuzzy processing time is considered and the duration time of intermediate is unlimited. The maximum membership function of mean value has been applied to solve the non-linear fuzzy s...

This paper presents an agent-based fuzzy constraintdirected negotiation mechanism for planning and scheduling in supply chain. The supply chain scheduling problem is modeled as a set of fuzzy constraint satisfaction problems (FCSPs), interlinked together by inter-agent constraints. For converging each distinct firm’s interests, the conflicts among the set of FCSPs are resolved through negotiati...

uncertainty plays a major role in any project evaluation and management process. one of the trickiest parts of any production project work is its cost and time forecasting. since in the initial phases of production projects uncertainty is at its highest level, a reliable method of project scheduling and cash flow generation is vital to help the managers reach successful implementation of the pr...

Problem statement: We present development of neural network based fuzzy inference system for scheduling of parallel Jobs with the help of a real life workload data. The performance evaluation of a parallel system mainly depends on how the processes are co scheduled? Various co scheduling techniques available are First Come First Served, Gang Scheduling, Flexible Co Scheduling and Agile Algorith...

In this paper, we propose a methodology integrating discrete event simulation based on the fuzzy set theory to solve the scheduling planning problem for construction operations in a new semiconductor building. Unlike traditional construction scheduling approaches that only cope with quantitative data, fuzzy set-based methods provide proper instruments for expressing planners’ linguistic terms t...

An optimal scheduling approach has been developed for coordinating product delivery activities using fuzzy mathematics. In this approach, optimal delivery scheduling is carried out at three different levels, for situations involving: (1) one driver and one load, (2) one driver and multiple loads, and (3) multiple drivers and multiple loads. Fuzzy-based clustering methods are employed to classif...

In a real time system contained various type of scheduling algorithms. They are used for determine which processes should be executed by the CPU when there are different processes to be executed. Neuro fuzzy logic approaches are very effective for scheduling real time task. This paper presents a review on scheduling algorithm of real time task. Then, discuss the limitations of EDF algorithm and...