Job-Oriented Monitoring of Clusters
Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 3
Abstract
There has been a lot of development in the field of clusters and grids. Recently, the use of clusters has been on rise in every possible field. This paper proposes a system that monitors jobs on large computational clusters. Monitoring jobs is essential to understand how jobs are being executed. This helps us in understanding the complete life cycle of the jobs being executed on large clusters. Also, this paper describes how the information obtained by monitoring the jobs would help in increasing the overall throughput of clusters. Heuristics help in efficient job distribution among the computational nodes, thereby accomplishing fair job distribution policy. The proposed system would be capable of load balancing among the computational nodes, detecting failures, taking corrective actions after failure detection, job monitoring, system resource monitoring, etc.
Authors and Affiliations
Vijayalaxmi Cigala , Dhirajkumar Mahale , Monil Shah , Sukhada Bhingarkar
Keywords
Related Articles
- EP ID EP139769
- DOI -
- Views 104
- Downloads 0
A Survey of QOS with IEEE 802.11e
IP is the fundamental protocol of Internet. It provides best efforts service. It has no in-built mechanisms to provide Quality of service. Some of the applications that are being used in Internet require Quality of servi...
Ambient Intelligence: The Next Generation Technology
Configuration of the computing and communications systems found at home and in the workplace is a complex system design that currently requires the attention of the user. Recently, researchers have begun to explore compu...
Application of Markov Process Model and Entropy Analysis in Data Classification and Information Retrieval
This paper proposes a statistical approach by a modified arkov chain process model and entropy function in the analysis of a arge data set. The basic idea is that entropy nd conditional ntropy are used to measure the...
Secured, Authenticated Communication Model for Dynamic Multicast Groups
Secure Multicast networks forms the backbone for many web and multimedia applications such as Interactive TV, Teleconference etc. The main challenge for secure multicast is scalability, efficiency and authenticity. A co...
Appearance Based Recognition of American Sign Language Using Gesture Segmentation
The work presented in this paper goals to develop a system for automatic translation of static gestures of alphabets in American Sign Language. In doing so three feature extraction methods and neural network is used to r...