data grid is an infrastructure that controls huge amount of data files, and provides intensive computational resources across geographically distributed collaboration. the heterogeneity and geographic dispersion of grid resources and applications place some complex problems such as job scheduling. most existing scheduling algorithms in grids only focus on one kind of grid jobs which can be data...

This paper addresses a new mixed integer nonlinear and linear mathematical programming economic lot sizing and scheduling problem in distributed permutation flow shop problem with number of identical factories and machines. Different products must be distributed between the factories and then assignment of products to factories and sequencing of the products assigned to each factory has to be d...

the continuous spread of distributed energy resources (ders) such as combined heating and power (chp), diesel generators, boilers and renewable energy sources provide an effective solution to energy related problems to serve the power and heat demands with minimum cost. moreover, the ders may play a significant role for supplying power and heat in rural areas, where grid electricity is not avai...

A distributed system is a collection of independent computers that appears to its users as a single coherent system. Depending on job arrival rate some of the computing nodes may become overloaded while some other nodes may sit idle. The imbalance in load distribution may affect overall system performance. So proper task scheduling algorithm is needed. Real time task scheduling algorithm must t...

This paper describes the Distributed Pipeline Scheduling Framework that provides a systematic approach to designing distributed, heterogeneous realtime systems. This paper formalizes Distributed Pipelining Scheduling by providing a set of abstractions and transformations to map real-time applications to system resources, to create highly efficient and predictable systems, and to de-compose the ...

The Distributed and Flexible Job-shop Scheduling problem (DFJS) considers the scheduling of distributed manufacturing environments, where jobs are processed by a system of several Flexible Manufacturing Units (FMUs). Distributed scheduling problems deal with the assignment of jobs to FMUs and with determining the scheduling of each FMU, in terms of assignment of each job operation to one of the...

This proposal deals with the design of scheduling algorithms for Combined Input and Output Queued (CIOQ) switches. For crossbar based switches, we demonstrate the poor performance of commonly used scheduling algorithms under overload traffic conditions using targeted stress tests and present ideas to develop robust, stress resistant versions of these algorithms which are still simple enough to ...