Abstract Scientific communities are motivated to schedule their large-scale data analysis workflows in heterogeneous cluster environments because of privacy and financial issues. In such containing considerably diverse resources, efficient resource allocation approaches essential for reaching high performance. Accordingly, this research addresses the scheduling problem with bag-of-task form min...

This paper discusses an approach for coupling local realtime networks over an IP core network. The proposed service class provides deterministic guarantees on delay and jitter. To realize this, synchronized transmission schedules are employed in the access areas of the network. The schedule precludes resource contention among the flows and enables a conflict free transmission at the IP layer. A...

In contemporary and future mobile communication networks, variable services with different characteristics need to be served simultaneously. This paper proposes a novel mathematical model for the analysis of such cases based on a two-dimensional Markov approach. This model comprises higher order resource allocation and resource sharing with no packet traffic pre-emption priority and no buffers....

This contribution gives an introduction to an integrated vehicle routing and resource allocation problem. We refer to it as the Swap Trailer Problem and formulate the mathematical model. After the analysis of dynamic decision problems and the development of a framework for this problem, we highlight the dynamic aspect of the problem. Two different solution strategies are supposed. Special prope...

Optimal power allocation for maximizing the sum capacity of multiple access channel (MAC) with quality-of-service (QoS) constraints is investigated in this paper. Majorization theory is the underlying mathematical theory on which our method hinges. It is shown that the optimal structure of the solution can be easily obtained via majorization theory. Furthermore, based on our new approach, an ef...

A novel method for simultaneously storing memories and allocating resources in AI systems is presented. The method, Economic Attention Networks (ECANs), bears some resemblance to the spread of activation in attractor neural networks, but differs via explicitly differentiating two kinds of “activation” (Short Term Importance, related to processor allocation; and Long Term Importance, related to ...

Allocation of spectrum is an important policy issue and decisions taken have ramifications for future growth of wireless communications and achieving universal connectivity. In this paper, on a common footing we compare the social welfare obtained from the allocation of new spectrum under different alternatives: to licensed providers in monopolistic, oligopolistic and perfectly competitive sett...

This paper studies a short-term berth allocation problem encountered in the Baoshan Iron and Steel complex. A mathematical model is developed for the problem to minimize the total tardiness particularly considering special industrial characteristics. A lower bound derived by performing a Lagrangian relaxation, along with appropriate branching rules, is incorporated into a branch and bound algor...

This paper considers the problem of allocation of downlink windows for a constellation of satellites whose mission is to perform a regular surveillance of ship movements over all the oceans. This surveillance is realized using both radar acquisitions of specific areas and acquisition flows continuously collected over the whole orbits. These acquisitions must be downloaded as quickly as possible...