Role In Overall System Performance Research Articles

Implementation and Operational Analysis of an Interactive Intensive Care Unit within a Smart Health Context.

In the context of hospital management and operation, Intensive Care Units (ICU) are one of the most challenging in terms of time responsiveness and criticality, in which adequate resource management and signal processing play a key role in overall system performance. In this work, a context aware Intensive Care Unit is implemented and analyzed to provide scalable signal acquisition capabilities, as well as to provide tracking and access control. Wireless channel analysis is performed by means of hybrid optimized 3D Ray Launching deterministic simulation to assess potential interference impact as well as to provide required coverage/capacity thresholds for employed transceivers. Wireless system operation within the ICU scenario, considering conventional transceiver operation, is feasible in terms of quality of service for the complete scenario. Extensive measurements of overall interference levels have also been carried out, enabling subsequent adequate coverage/capacity estimations, for a set of Zigbee based nodes. Real system operation has been tested, with ad-hoc designed Zigbee wireless motes, employing lightweight communication protocols to minimize energy and bandwidth usage. An ICU information gathering application and software architecture for Visitor Access Control has been implemented, providing monitoring of the Boxes external doors and the identification of visitors via a RFID system. The results enable a solution to provide ICU access control and tracking capabilities previously not exploited, providing a step forward in the implementation of a Smart Health framework.

Dynamic Process Scheduling and Sequencing Using Genetic Algorithm

This paper present the implementation of genetic algorithm for operating system process scheduling. Scheduling in operating systems has a significant role in overall system performance and throughput. An efficient scheduling is vital for system performance. The scheduling is considered as NP hard problem .In this paper, we use the power of genetic algorithm to provide the efficient process scheduling. The aim is to obtain an efficient scheduler to allocate and schedule the process to CPU. we will evaluate the performance and efficiency of the proposed algorithm using simulation results.

An Adaptive Scheduling System for Computational Grid using Autonomic Computing

Grid computing provides an environment to be share software and hardware resources.Ontheonehand, environmentofGridcomputingis inherently large, complex, heterogeneous and dynamic and its state changes over time, on the other hand, incoming job to Grid show unstable behavior, which before that is not known and changes over time. As regards that scheduling in Grid has a vital role in overall system performance, the need to scheduling methods to adapt themselves to conditions in Grid, and regarding current state of the environment and jobs the scheduler must be able to make decisions. In this article, for the scheduling of computational Grid, we have used Autonomic Computing principles to enable Grid scheduler dynamically adapt itself totheenvironmentandincreaseefficiency. Autonomic computing systems are inspired by biologically systems which their goal is to manage themselves with minimal involvement of managers. Autonomic computing is suitable for a computational Grid because of the large, heterogeneous, dynamic and autonomous nature of the Grid. The proposed method in this study, in terms of makes pan, execution time and resource utilization has shown higher performance, compared to other methods and related numerous experiments. General Terms Adaptive Algorithms, Grid Scheduling, Autonomic Grid.

Performance of Scheduling Algorithms under Mobility for Multimedia Services in OFDM Systems

Scheduling algorithms are playing a key role in overall system performance of broadband wireless systems (BWS). Maximal SNR (MaxSNR) and Round Robin (RR) are two conventional scheduling strategies which emphasize efficiency and fairness respectively. Proportional Fair (PF) algorithm provides tradeoff between efficiency and fairness. In this paper, we apply PF to IEEE 802.16a OFDM based BWS and name it OPF. We also propose a new algorithm for multimedia services: Normalized Multimedia Adaptive OPF (NMAOPF). Adaptive modulation and coding scheme is applied in time varying and frequency selective fading wireless channel. System performances are compared in efficiency and fairness with and without user mobility. Efficiency is in terms of throughput, mean packet delay and packet drop ratio; fairness is in terms of user satisfaction rate and average user rate. Joint PHY and MAC layer simulation results show that: within the traffic range of 55 to 70 Mbps, compared with RR and MaxSNR, the performance of OPF is in between. Our proposed NMAOPF outperforms all others without user mobility, while under mobility, it is not as good as MaxSNR but better than OPF and RR.