Evaluation of nine heuristic algorithms with data-intensive jobs and computing-intensive jobs in a dynamic environment


This study focuses on a dynamic environment where knowledge-intensive jobs and computing-intensive jobs are submitted to a grid at the same time. The authors analyse nine heuristic algorithms in a grid and give a comparison of them in a simulation setting. The nine heuristics are: (i) min-min, (ii) max-min, (iii) duplex, (iv) sufferage, (v) minimum execution time (MET), (vi) opportunistic load balancing (OLB), (vii) fast-match, (viii) best-match and (ix) adaptive scoring job scheduling (ASJS). Within the simulation, different ratios between the info-intensive jobs and computing-intensive jobs are used to analyze for the performance of the 9 heuristics below completely different arrival rates. Five parameters are used to estimate the performance of these methods. Those parameters include average execution time, average waiting time, the amount of finished jobs (FB), the total of file size that has been submitted to the grid (SFS) and the whole variety of directions of all finished jobs (SINI). Simulation results show that four out of the nine heuristics have relative sensible performance in the task scheduling in the grid systems. They're best-match, MET, ASJS and OLB.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases ABSTRACT: Researchers in this project hope to create and test a new computer-aided
PROJECT TITLE : Efficient Evaluation of Image Quality via Deep-Learning Approximation of Perceptual Metrics ABSTRACT: An important role in the evaluation of complicated image processing algorithms is played by image metrics based
PROJECT TITLE : Tensor Oriented No-Reference Light Field Image Quality Assessment ABSTRACT: Immersive media acquisition, processing, and application are becoming more dependent on the quality of light field images (LFIs). A multi-dimensional
PROJECT TITLE :Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test - 2018ABSTRACT:Analogous deployment of part measurement units (PMUs), the increase
PROJECT TITLE :Complex Queries Optimization and Evaluation over Relational and NoSQL Data Stores in Cloud Environments - 2018ABSTRACT:The production of giant quantity of data and the emergence of cloud computing have introduced

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry