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A new cross-layer proportional fair scheduling algorithm suited for delay tolerant traffic in both saturated and non-saturated regimes is presented. Unlike the classical proportional fair scheduling algorithm where the instantaneous rate is normalized by the past average throughput, in the proposed algorithm the normalization is done with respect to the past maximal values. And unlike cumulative distribution...
Recently, a human and robot cooperated new working style is under the growing demand in the manufactory to meet the High-Mix, Low-Volume production need of the society. In this paper, a Human and Robot Cooperation (HRC) approach is proposed. Firstly, a Non-deterministic Finite State Machine (NDFSM) and Petri-net (PN) Dual Layer Architecture (NPDLA) is proposed for human worker and robot respectively...
In this paper, Layered Spiral Algorithm (LSA) is proposed for memory-aware application mapping and scheduling onto Network-on-Chip (NoC) based Multi-Processor System-on-Chip (MPSoC). The energy consumption is optimized while keeping high task level parallelism. The experimental evaluation indicates that if memory-awareness is not considered during mapping and scheduling, memory overflows may occur...
To solve the problem of supplier selection, the author considered the multiple attributes and established multi-attribute decision making model decided by many people. Firstly, the supplier's comprehensive scheduling is given by using TOPSIS method ,then determining group scheduling which is the most consistent to each member's scheduling by using Cook - Seiford function included in SCF (social choice...
Computational science increasingly relies on the execution of workflows in distributed networks to solve complex applications. However, the heterogeneity of resources in these environments complicates resource management and the scheduling of such applications. Sophisticated scheduling policies are being developed for workflows, but they have had little impact in practice because their integration...
Rail high-speed passenger lines (HSPL) have been developed rapidly in China; however, the traditional rail crew scheduling mode called responsible mode, in which crews are bundled with vehicles, is hard to adapt to the transit characteristic of HSPL. Moreover, the utilization of rail crew resources is commonly inefficient and the scheduling methods are generally behindhand. To reduce the pressure...
A novel approach for short-term hydrothermal power systems with cascaded reservoirs using cultural algorithm (CA) is presented in this paper. The large scale hydrothermal scheduling involves optimization of a non-linear objective function with a set of system and hydraulic constraints. The approach takes the water transport delay time between connected reservoirs and complicated hydraulic coupling...
Study on production optimization and scheduling has always been the focus of attention and research by the scholars in manufacturing industry. After analyzing research achievements in manufacturing production informatization of several scholars at home and abroad, this paper regards the production schedule arrangements of small and medium-sized automobile parts enterprises as research object and uses...
This paper investigates the intra-fleet and inter-fleet model for the solution of crew scheduling problem during airline irregular operations. The intra-fleet model is widely adopted in the airline industry where flight is grouped together and works typically within a fleet. The inter-fleet model on the other hand, splits of flight attendant groups and reassign of them across different fleet. Though...
As the complexity of under the condition of large-scaled resource-constrained multi-project duration optimization problems, it is difficult to give its analysis solution. With the network technology in this paper, taking the minimum number of the multi-project weighted duration as the goal, then establish a mathematical model for the optimization problem. In view of the basic cellular automaton topological...
Given the generally low quality of Production Development schedule baseline definition, an evaluation method of project schedule risk quantification based on Monte Carlo simulation under the conditions of resource constraints is proposed. Firstly, considering the resource constraints on the progress, an activity duration sampling method under resource constraints is proposed. Secondly, to study the...
The process planning and scheduling (PPS) is to determine a solution (schedule), which tells a production facility what to make, when, and on which equipment, to process a set of parts with operations effectively. Multiobjective PPS problems become more complex because the decision maker need to make a trade-off between two or more objectives while determining a set of optimal nondominated solutions...
There are some problems in rescue scheduling for major hazards with resource scheduling algorithm, in which time and resource are limited. In this paper, on the basis of the situation above, we present a new fire resource scheduling model on the ground of major hazards, where time limitation of major hazards and actual situation of fire resource can be taken into account on all sides. Thus, in line...
Computational Grid is a distributed computing paradigm that provides huge computational power for the large scale distributed application. One of the challenging issues in Grid Scheduling is dynamically choosing the best resource, by exploiting the topology and load information present at the time of scheduling. Here topology represents the delay or elapse time to reach the resource. In the proposed...
One of the well studied issues in multiagent systems is the action-selection and sequencing problem where a goal is decomposed in tasks that can be performed in different ways and/or by different agents. This problem has been tackled under different approaches. In particular, for open, dynamic environments agents must be able to adapt to the changing organizational goals, available resources, their...
Stochastic search algorithms are often robust, scalable problem solvers. In this paper, we carefully study the Iterative Sampling(IS), Heuristic-Biased Stochastic Sampling(HBSS) and Value-Biased Stochastic Sampling(VBSS) algorithm, and present an approach for enhancing such multi-start algorithms. This paper shows that given some heuristic information about the search start point, these algorithms...
We consider the following general scheduling problem: The input consists of n jobs, each with an arbitrary release time, size, and a monotone function specifying the cost incurred when the job is completed at a particular time. The objective is to find a preemptive schedule of minimum aggregate cost. This problem formulation is general enough to include many natural scheduling objectives, such as...
This paper discusses I/O architecture and key techniques of RAID controller. The main target is insert the request of the RAID module which have split user request into single disk R/D into corresponding I/O disk queue. According the priority and read/write characteristic, we adjust the requests order in response request queue or combination the fore-and-aft small requests into a big request, consequently...
Scientific task allocation and knowledge workers scheduling is an important part of rational human resources management in enterprises. In this paper, ant colony algorithm is used to research task allocation and knowledge workers scheduling. Ant colony optimization algorithm can reduce the number of optimization iteration and computing time. Elite solution retention tactics is used in iterating process...
In this paper, we investigate the spectrum scheduling problem for next generation multiband orthogonal frequency division multiplexing (MB-OFDM) ultra-wideband (UWB) systems under QoS and interference constraints. Based on a constrained optimization problem formulation, we propose a cross-layer scheduling solution that takes into account the unlicensed UWB users channel and QoS conditions as well...
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