This work presents dispatching strategies based on methods of job-flow and application-level scheduling in virtual organizations of distributed computational environments with non-dedicated resources. Job-flow management is implemented with the set of specific rules for resource usage. Applications are considered as parallel jobs. Strategies are based on economic scheduling models and diverse administration policies inside resource domains (clusters, computational nodes equipped with multicore processors etc.). Methods of priority economic scheduling of global job flows and local-level applications in distributed computations are studied. Job management structures and economic mechanisms for load balancing in distributed environments are considered

In this paper, we present slot selection algorithms in economic models for independent job batch scheduling in distributed computing with non-dedicated resources. Existing approaches towards resource co-allocation and multiprocessor job scheduling in economic models of distributed computing are based on search of time-slots in resource occupancy schedules. The sought time-slots must match requirements of necessary span, computational resource properties, and cost. Usually such scheduling methods consider only one suited variant of time-slot set. This paper discloses a scheduling scheme that features multi-variant search. Two algorithms of linear complexity for search of alternative variants are compared. Having several optional resource configurations for each job makes an opportunity to perform an optimization of execution of the whole batch of jobs and to increase overall efficiency of scheduling