A Dynamic Slack Management Technique for Real- Time Distributed Embedded System with Enhanced Fault Tolerance and Resource Constraints
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 1
Abstract
This project work aims to develop a dynamic slack management technique, for real-time distributed embedded systems to reduce the total energy consumption in addition to timing, precedence and resource constraints. The Slack Distribution Technique proposed considers a modified Feedback Control Scheduling (FCS) algorithm. This algorithm schedules dependent tasks effectively with precedence and resource constraints. It further minimizes the schedule length and utilizes the available slack to increase the energy efficiency. A fault tolerant mechanism uses a deferred-active-backup scheme increases the schedulability and provides reliability to the system.
Authors and Affiliations
Santhi Baskaran, , I. Gugan , A. Aswin Kumar , D. Govindarajan
MINING THE INVESTOR’S PERCEPTION ABOUT DIFFERENT INVESTMENT OPTIONS USING CLUSTERING ANALYSIS
Investors’ expectation is a very significant factor that needs to be evaluating by all investment alternatives. The achievement of any investment policy depends on how successfully it has been able to convene the investo...
Two-Level Dynamic Load Balancing Algorithm Using Load Thresholds and Pairwise Immigration
This paper proposes a two-level dynamic load balancing scheme for grid and distributed systems. We focus on reducing average task response time. In order to achieve the goals, efficient dynamic load balancing is required...
Enhancement of Split Multipath Routing Protocol in MANET
In the MANET, routing protocols are used to provide the specific path for sending the data packets. Multipath routing provides the multiple paths in the MANET. So, in this paper we enhance the performance of Split Multip...
MRI Brain Image Tissue Segmentation analysis using Possibilistic Fuzzy C-means Method
In this paper, we analyzed the segmentation of MRI brain image into different tissue types on brain image using Possibilistic fuzzy c-means (PFCM) clustering. Application of this method to MRI brain image gives the bette...
Frequent Item set Mining Using Global Profit Weight Algorithm
The objective of the study focused on weighted based frequent item set mining. The base paper has proposed multi criteria based frequent item set for weight calculation. Contribution towards this project is to implement...