Parallel Crew Scheduling on Workstation Networks Using PVM
نویسندگان
چکیده
In this paper the ability to efficiently solve large crew scheduling problems on a network of workstations (NOW) is presented. Large crew scheduling problems from the Lufthansa set of problems have been solved with a near linear speedup on the generator component of the problem. The generator is the most time consuming component of the solution process, which implies that a significant improvement of the overall solution process is possible. This paper presents the first tangible results of the HPCN Esprit project PAROS, where the complete crew scheduling procedure on a NOW is parallelized and extended.
منابع مشابه
Scheduling Parallel Applications in Networks of Mixed Uniprocessor/Multiprocessor Workstations
Trying to exploit the idle computing power of workstation networks for parallel applications requires means for dynamic workload scheduling. In this paper, we present the features of the Winner resource management system developed for this purpose. Winner relies on an elaborate technique for accurately measuring the currently available computing speed of a workstation, particularly in the prese...
متن کاملParallel Algorithms for Airline Crew Planning on Networks of Workstations
The crew planning problem has been successfully solved on a loosely connected network of workstations (NOW) using advanced computational techniques and efficient communication patterns. The parallelization of the successful sequential system of Carmen Systems AB guarantees that the results are immediately useful and applicable to a large number of airlines scheduling problems. The parallel pair...
متن کاملHigh Performance Integer Optimization for Crew Scheduling
Performance aspects of a Lagrangian relaxation based heuris-tic for solving large 0-1 integer linear programs are discussed. In particular , we look at its application to airline and railway crew scheduling problems. We present a scalable parallelization of the original algorithm used in production at Carmen Systems AB, GG oteborg, Sweden, based on distributing the variables and a new sequentia...
متن کاملParallel Integer Optimization for Crew Scheduling
Performance aspects of a Lagrangian relaxation based heuristic for solving large 0-1 integer linear programs are discussed. In particular, we look at its application to airline and railway crew scheduling problems. We present a scalable paralleliza-tion of the original algorithm used in production at Carmen Systems AB, GG oteborg, Sweden, based on distributing the variables. A lazy variant of t...
متن کاملParallelization of Neural Networks Using PVM
We use Neural Networks (NN) in order to design control architectures for autonomous mobile robots. With PVM, it is possible to spawn different parts of a NN on different workstations. Specific message passing functions using PVM may be included into the NN architecture. A graphical interface helps the user spawning the NN architecture, and monitors the messages exchanged between the different s...
متن کامل