Agent-based intelligent manufacturing control systems are capable to efficiently respond and adapt to environmental changes. Manufacturing system adaptation and evolution can be addressed with learning mechanisms that increase the intelligence of agents. In this paper a manufacturing scheduling method is presented based on Timed Colored Petri Nets (CTPNs) and reinforcement learning (RL). CTPNs ...

In this paper we shall consider a simulation language (and a tool) for the simulation of scheduling algorithms for real-time systems. In the rst part of this paper we recall some notion on real-time systems and their scheduling algorithms. The second part of the work presents our tool. We rst present shortly the simulation kernel (issued from previous work 3]) which is well suited to simulate t...

Clusters are now considered as an alternative to parallel machines to execute workloads made up of sequential and/or parallel applications. For efficient application execution on clusters, dynamic global process scheduling is of prime importance. Different dynamic scheduling policies that have been studied for distributed systems or parallel machines may be used in clusters. The choice of a par...

Resource planning in large-scale construction projects has been a complicated management issue requiring mechanisms to facilitate decision making for managers. In the present study, a computer-aided simulation model is developed based on concurrent control of resources and revenue/expenditure. The proposed method responds to the demand of resource management and scheduling in shell material emb...

To avoid collisions in cluster tree routing and improve the network performance in IEEE 802.15.4 sensor networks, effective scheduling mechanisms need to be developed. In this study, a multiple cluster tree routing technique along with scheduling, for collision avoidance is proposed. Multiple cluster trees are designed in which the Cluster Heads (CH) are responsible for scheduling. Each CH sche...

A simple modification of existing divisible load scheduling algorithms, boosting link speed by M for M parallel channels per link, allows time optimal load scheduling and performance prediction for parallel channel systems. The situation for multicore models is more complex but can be handled by a substitution involving equivalent processor speed. These modifications yield upper bounds on such ...

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 a...

Planware is a domain-specific generator of highperformance scheduling software, currently being developed at Kestrel Institute. Architecturally, Planware is an extension of the Specware system with domain-independent and domain-dependent parts. The domain-independent part includes a general algorithm design facility (including mechanisms to synthesize global-search and constraint propagation al...

Various services are transmitted in the power communication networks, which require differentiated QoS guarantee. Packet transport network (PTN) technology can meet the requirements. In this paper, QoS mechanisms of PTN are investigated and different QoS deployment strategies are proposed. To verify performance, DiffServ module of network simulator (NS-2) is employed. Simulations check the infl...

Smart antenna (or multi-beam antenna) systems can support simultaneous transmissions (or receptions) of multiple packets in different beams using the same channel. However, network performance is highly dependent on transmission scheduling. This study develops two transmission-scheduling schemes for use with smart antenna systems to improve network throughput and reduce transmission delay. The ...