At present, workflow management systems have not sufficiently dealt with the issues of time, involving time modelling at build-time and time management at run-time. They are lack of the ability to support the checking of temporal constraints at run-time. Although some approaches have been devised to tackle this problem, they are limited to a single workflow and use only static techniques to ver...

Today’s workflow management systems have not sufficiently dealt with time information, which involves time modeling at build-time and time management at run-time. As a consequence, workflow management systems are short of the ability to support the checking of temporal constraints at run-time. Although several approaches have been devised to tackle this problem, they are limited to a single wor...

The device for providing consolidation of preferential resource quality of service constraints specified by a source user and adestination user in a communication network has two quality of service translators receiving preferential resource constraintsinput from the source and destination users respectively. The translators translate input QOS requirements, for each of thesourc...

This paper presents a heuristic for the dynamic vehicle scheduling problem with multiple resource capacity constraints. In the envisaged application, an automated transport system using Automated Guided Vehicles, bottleneck resources are (1) vehicles, (2) docks for loading/unloading, (3) vehicle parking places, and (4) load storage space. This problem is hard, because interrelated activities (l...

Project scheduling problem is to make a schedule for allocating the loans to a project such that the total cost and the completion time of the project are balanced under some constraints. This paper presents an uncertain project scheduling problem, of which both the duration times and the resources allocation times are uncertain variables. An uncertain programming model with multiple objectives...

Nowadays, most control systems are manipulated by control algorithms that are implemented as software components. In many practical applications, such software components execute on platforms characterized with constrained resources, such as in embedded systems. To ensure the correct timing behavior of the control software, real-time kernel is employed to schedule several such components runnin...

We propose a resource-constrained network growth model that explains the emergence of key structural properties of real-world directed networks: heavy-tailed indegree distribution, high local clustering and degree-clustering relationship. In real-world networks, individuals form edges under constraints of limited network access and partial information. However, well-known growth models that pre...

Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on agents’ resource consumption must be taken into account. To address such scenarios, an extension of DCOPResource Constrained DCOPhas been proposed. However, certain type of resources have an additional structure associate...

We describe the use of decision-theory to optimize the value of computation under uncertain and varying resource limitations. The research is motivated by the pursuit of formal models of rational decision making for computational agents, centering on the explicit consideration of preferences and resource availability. We focus here on the importance of identifying the multiattribute structure o...

Many present-day microprocessors have ne grain parallelism, be it in the form of a pipeline, of multiple functional units, or replicated processors. The eecient use of such architectures depends on the capability of the compiler to schedule the execution of the object code in such a way that most of the available hardware is in use while avoiding so-called dependences. In the case of one simple...