Search results for "Scheduling"

A Delay-Centric Dynamic Resource Allocation Algorithm for Wireless Communication Systems Based on HNN

2008

This paper proposes a dynamic resource-allocation (DRA) algorithm for packet data services in wireless communication systems based on Hopfleld neural networks (HNNs). The resource-allocation algorithm assumes a delay-centric approach in that it maximizes resource utilization of the overall system while minimizing the packet delay. The real-time (RT) working capability of HNN hardware implementation means that a very powerful scheduling DRA algorithm can be obtained. A generic formulation of the algorithm is presented to establish the optimal bit rate allocation. In addition, some illustrative examples of this formulation are given, considering specific wireless communication systems, such a…

PerPot: A metamodel for simulation of load performance interaction

2001

A metamodel is introduced, which on one hand can help to understand particular effects and phenomena in the interaction of load and performance in training processes. On the other hand, it can be used as a starting point for refinements to specific adaptation models. Finally, a software tool has been developed that supports different simulation approaches—for example, basic analysis of model parameter influences, diagnosis of the state of real adaptation systems, optimization of given load performance interactions, and planning optimal training schedules.

VLBI-resolution radio-map algorithms: Performance analysis of different levels of data-sharing on multi-socket, multi-core architectures

2012

a b s t r a c t A broad area in astronomy focuses on simulating extragalactic objects based on Very Long Baseline Interferometry (VLBI) radio-maps. Several algorithms in this scope simulate what would be the observed radio-maps if emitted from a predefined extragalactic object. This work analyzes the performance and scaling of this kind of algorithms on multi-socket, multi-core architectures. In particular, we evaluate a sharing approach, a privatizing approach and a hybrid approach on systems with complex memory hierarchy that includes shared Last Level Cache (LLC). In addition, we investigate which manual processes can be systematized and then automated in future works. The experiments sh…

Multi-Objective and Multi-Criteria Analysis for Optimal Pump Scheduling in Water Systems

2018

This contribution focuses on the problem of optimal pump scheduling, a fundamental element in pursuing operation optimization of water distribution systems. A combined approach of multi-objective optimization and multi-criteria analysis is herein suggested to first find the Pareto front of non-dominated solutions and then to rank them based on a set of weighted criteria. The Non-Dominated Sorting Genetic Algorithm (NSGA-II) is proposed to solve the multi-objective problem, while the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to achieve the final ranking.

LABCENTER. A remote laboratory system platform

2011

Abstract A web system server especially suited for remote laboratories has been developed. Typical e-learning systems do not offer the possibility to perform a remote laboratory where real experiments can be done online, accessing real hardware located at the University facilities. Allowing students to connect to hardware systems remotely provides them with additional knowledge about real devices; very often, real laboratory devices are time or space restricted. The proposed LABCENTER platform is a general frame designed for remote laboratories connection. The platform is designed to allow an authorized student to connect to hardware systems. As direct hardware systems allow only a single u…

Multi Objective Genetic Algorithm for multimode job shop scheduling problem

2014

Genetic Algorithms: A Decision Tool in Industrial Disassembly

2008

In the recycling process of the Waste Electrical and Electronic Equipment (WEEE) the disassembly process has a central role. Disassembly is not the reverse of the assembly process, real difficulties occur in the tasks assignment process of the disassembly operations. Since this is a multi objective optimization problem, we prove that genetic algorithms provide a useful multi-criteria decision tool in the industrial disassembly process.

Tuning of QoS Aware Load Balancing Algorithm (QoS–LB) for Highly Loaded Server Clusters

2001

This paper introduces a novel algorithm for content based switching. A content based scheduling algorithm (QoS Aware Load Balancing Algorithm, QoS-LB) which can be used at the front-end of the server cluster is presented. The front-end switch uses the content information of the requests and the load on the back servers to choose the server to handle each request. At the same time, different Quality of Service (QoS) classes of the customers can be considered as one parameter in the load balancing algorithm. This novel feature becomes more important when service providers begin to offer the same services for customers with different priorities.

A real-time network architecture for biometric data delivery in Ambient Intelligence

2012

Ambient Intelligent applications involve the deployment of sensors and hardware devices into an intelligent environment surrounding people, meeting users’ requirements and anticipating their needs (Ambi- ent Intelligence-AmI). Biometrics plays a key role in surveillance and security applications. Fingerprint, iris and voice/speech traits can be acquired by contact, contact-less, and at-a-distance sensors embedded in the environment. Biometric traits transmission and delivery is very critical and it needs real-time transmission net- work with guaranteed performance and QoS. Wireless networks become suitable for AmI if they are able to satisfy real-time communication and security system requi…

Dynamic packet scheduling performance in UTRA Long Term Evolution downlink

2008

In this paper we evaluate the performance of dynamic Packet Scheduling (PS) of 3GPP UTRAN Long Term Evolution (LTE) Downlink. Packet scheduling is of utmost importance in 3G LTE, because all traffic types with different Quality of Service requirements are competing of the resources. We present a decoupled time and frequency domain packet scheduling framework for LTE downlink. Simulation results with three basic packet scheduler combinations with different amount of fairness are presented in four different 3GPP macro simulation cases to show the both extremes in tradeoff between fairness and spectral efficiency. In addition, the effect of multiuser diversity on packet scheduling performance …