Scheduling is the key to distributed applications performance in large scale heterogeneous environments. For such systems resilience in case of faults can be approached at the level of rescheduling mechanisms. The performance of rescheduling is very important in the context of large scale distributed systems and dynamic behavior. The paper proposes a generic rescheduling algorithm, which can be...

In a deregulated power market, the optimum power flow (OPF) for an interconnected grid system is an important concern as related to transmission loss and operating constraints of power network. The increased power transaction as related to increased demand and satisfaction of those demand to the competition of generation companies (GENCOs) are resulting the stress on power network which further...

In realistic scenarios of disruption management the high number of potential options makes the provision of decision support – on how to get back on track – complex. It is thus desirable to reduce the size of the regarded problems by applying methods of partial rescheduling. As existing approaches (such as Affected Operations Rescheduling or Matchup Scheduling) mainly focus on production-specif...

Metaschedulers can distribute parts of a Bag-of-Tasks (BoT) application among various resource providers in order to speed up its execution. The expected completion time of the user application is then calculated based on the run time estimates of all applications running and waiting for resources. However, due to inaccurate run time estimates, initial schedules are not those that provide users...

In October 2014, the Drug Enforcement Administration in the U.S. reclassified hydrocodone combination products (HCPs) from Schedule III to Schedule II, initiating one of the most significant and controversial regulatory changes for opioids in recent national history. The aim of the present study was to determine community pharmacist opinions on the effect of the rescheduling of HCPs on their pe...

The paper tackles the problem of managing the uncertainties during the execution of predictive schedules in a dynamic environment. The dynamic environment in question is represented by a simulation model – connected to a production scheduler system – with flexible modelling capabilities. The paper addresses the simulation module of the proposed architecture highlighting its main functionalities...

The paper gives a review of the literature related to the stability measures and describes a new concept with exhaustive simulation results. Predictive production schedules are calculated by a scheduler based on a genetic algorithm, hybridized with a modified Giffler&Thompson algorithm. By applying the proposed scheduler and executing the resulted schedules by simulation, the solution methods f...