As multi-core processors continue to scale, more and more multiple distributed applications with precedence-constrained tasks simultaneously and widely exist in multi-functional embedded systems. Scheduling multiple DAGs-based applications on heterogeneous multi-core processors faces conflicting high-performance and real-time requirements. This study presents a multiple DAGs-based applications ...

ÐThis paper presents an algorithm for off-line scheduling of communicating tasks with precedence and exclusion constraints in distributed hard real-time systems. Tasks are assumed to communicate via message passing based on a time-bounded communication paradigm, such as the real-time channel [1]. The algorithm uses a branch-and-bound (B&B) technique to search for a task schedule by minimizing m...

One way to address multi-scale optimisation problems is by integrating logic and optimisation. For example, a scheduling problem may have two levels: (i) assigning orders to machines and (ii) sequencing orders on each machine. In a minumum cost model, assigning orders to machines is a mixed-integer optimisation problem, sequencing orders is a constraint satisfaction problem. The entire problem ...

This paper presents a solution to the problem of minimizing energy consumption of a computer system performing periodic hard real-time tasks with precedence constraints. In the proposed approach, dynamic power management and voltage scaling techniques are combined to reduce the energy consumption of the CPU and devices. The optimization problem is initially formulated as an integer programming ...

On the basis of uncertainty theory, plenty of researches have been done on uncertain resource-constrained project scheduling problems. Instead of minimizing the makespan, in this paper, we address the maximization of net present value of a project’s cash flows when activity durations are assumed to be uncertain. In addition to precedence constraint and resource constraint involved in resource-c...

1 This project was funded in part by the NSF CNS grant no. 0509564. Abstract This paper addresses the problem of minimizing energy consumption of a computer system performing periodic hard real-time tasks with precedence constraints. In the proposed approach, dynamic power management and voltage scaling techniques are combined to reduce the energy consumption of the CPU and devices. The optimiz...

This article examines the complexity of resource-allocation decisions for resource-constrained project scheduling. The allocation decisions are modeled by means of precedence networks and are closely related to ES-policies, which are a type of scheduling policies introduced for stochastic scheduling. We find that even a number of ‘surrogate’ objective functions, whose use has recently been prop...

A well studied and diicult class of scheduling problems concerns parallel machines and precedence constraints. In order to model more realistic situations, we consider precedence delays, associating with each precedence constraint a certain amount of time which must elapse between the completion and start times of the corresponding jobs. Release dates, among others, may be modeled in this fashi...

Integration of production planning and scheduling is a class of problems commonly found in manufacturing industry. This class of problems associated with precedence constraint has been previously modeled and optimized by the authors, in which, it requires a multidimensional optimization at the same time: what to make, how many to make, where to make and the order to make. It is a combinatorial,...