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In recent years, one mode of data dissemination has become extremely popular, which is the deep web. Like any other data source, data mining on the deep web can produce important insights or summary of results. However, data mining on the deep web is challenging because the databases cannot be accessed directly, and therefore, data mining must be performed based on sampling of the datasets. The samples,...
This paper considers the NP-hard problem of object assignment with respect to multiple constraints: assigning a set of elements (or objects) into mutually exclusive classes (or groups), where the elements which are ldquosimilarrdquo to each other are hopefully located in the same class. The literature reports solutions in which the similarity constraint consists of a single index that is inappropriate...
Networked systems are common and crucial. One of the canonical problems in such systems is distributed resource allocation. From this rather broad class of problems, we consider a convex non-smooth resource allocation problem with a global resource constraint. Specifically, the objective function is separable and consists of a sum of convex functions, each associated with a node in a given network...
Resource-constrained project scheduling and configuration determine the progress of the construction and quality. This paper constructs a model for dynamic resources allocation and scheduling based on priority and fuzzy theory. And use ant colony algorithm with trust mechanism to solve it. The algorithm simulates ant feeling of mutual trust and act and is subject to significant interaction between...
A coordination and control approach for task allocation is proposed in this paper, aimed at handling static task allocation and dynamic changes and disturbances. This coordination and control approach uses an indirect coordination mechanism, called pheromone, which comes from the collective behavior of ant colonies for food foraging. This approach has the capacity for task allocation model to automatically...
In the context of multiple emergencies occurring simultaneously, the optimal allocation of relief resources to multiple emergency locations is a challenging issue in emergency management. This work presents a noncooperative complete information game model for resource allocation and an algorithm for calculating Nash equilibrium (NE). In this model, the players represent the multiple emergency locations,...
This paper addresses the issue of allocating tasks in multi-robot systems and evaluates the strategies that various ant colonies display in carrying out tasks and proposes four different task allocation strategies within the realms of multi-robot systems. The paper also introduces the concept of cost-benefit ratio as a measure of performance index for the task allocation strategies identified. Experimental...
An important limitation of the fixed charge location model, is the assumption that full truckload quantities are shipped from a facility to a customer. In many contexts, shipments are made in less-than-truckload (LTL) quantities from a facility to customers along a multiple-stop route. The different location decision is made from the different cost of delivery. In this paper we are concerned with...
This paper promotes an adaptive optimal model and algorithm for the distributed inventory system which includes one plant, m candidate distribution centers and time-varying customers. The inventory control policy (Q,s) is used in the distributed inventory system. First of all, we adopt theory of the weighted graph to build a mathematical model, which can convert general optimal mathematical model...
The available P2P streaming protocols are not compatible with each other for real-time video-on-demand (VOD) applications. As a result, they are not suitable for business usage on large-scale networks. In contrast, the BT protocol, which is a strictly-defined file sharing protocol, performs very well in data transferring and is supported by a large number of P2P file sharing systems. In this paper,...
This paper firstly introduced the basic idea of task requirement driven sensor management (TRDSM) and analyzed the task requirement of target tracking. Then, a new approach is proposed to deal with the multi-sensor management problem. The new method uses centralized management model to control sensors and the method comprehensively considers target priority and sensor usage cost. Then, sensors resource...
Resource pools are collections of computational resources which can be shared by different applications. The goal with that is to accommodate the workload of each application, by splitting the total amount of resources in the pool among them. In this sense, utility functions have been pointed as the main tool for enabling self-optimizing behaviour in such pools. The goal with that is to allow resources...
Mixed-model assembly lines typically rely in intermediate stock buffers to handle disturbances and optimize the car sequence between the main workshops in the plant. The optimization of these buffers is often constrained by installation and production specific rules. In this paper an algorithm for the stock management of buffers with drawers is proposed to handle constraints induced by the production's...
The stringent performance and area constraints and short time to market of modern digital systems drive us towards automated methods for producing high speed and low area architecture with optimum features. In this paper, we present a new algorithm, which automatically maximizes resource optimization of data path while meeting performance constraints. The main input of this algorithm is the control...
Resource reservation call admission control (CAC) schemes constitute an efficient solution for prioritizing high priority calls. Issues concerning fairness among calls arise during the implementation of CAC. In this paper, a new optimization model selecting the admission probability in thinning schemes is proposed to provide fairness in resource sharing among different input call stream flows. The...
In recent years, BitTorrent file distribution network has been more and more widely used for media file distribution. Its build-in resource scheduling policies (local rare first, tit-for-tat, etc.) work well in file distribution in single swarm environments. However, the resource scheduling policy is missing in multiple swarms environments and the resource utilization has not been optimized. In this...
Next Generation Networks (NGN) are envisaged to see a vast and inevitable convergence of diverse multimedia and mobile services with versatile bandwidth utilities. As such, a design challenge for NGN is to allow efficient rate allocation without compromising Quality of Service (QoS) provisioning to any service and thereby enable a global welfare gain. However, the traditional rate allocation schemes...
We introduce the problem of joint routing, scheduling and power control for multiple information flows in half-duplex, interference limited ad-hoc networks. The joint problem of optimizing for throughput is NP-Hard, and so we present an approximation of the problem and a general framework for solving it in O(N3) time. We attack the problem in two ways, first by presenting a reformulation and decomposition...
The combination of multihop relay system and orthogonal frequency division multiplexing (OFDM) modulation is a promising way to increase capacity and extend coverage area. For OFDM two-hop relay system with separate power constraints, we consider joint subcarrier matching and power allocation problem to maximize the system capacity, where the relay strategy is decode-and-forward. We formulate the...
This paper will establish a comprehensive coordination model with the cost, quality and time limit for project, taking quality objective into consideration, using multi-attribute utility function theory and guiding by the highest benefit which is creative of the three objective of project. Besides, it will achieve objective weight as far as possible of every goal with AHM, which will respond to the...
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