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

An Efficient Autoadaptive Edge Detection Approach for Flame and Fire Images

The determination of flame or fire edges is the process of identifying a boundary between the area where there is thermo-chemical reaction and those without. It is a precursor to image-based flame monitoring, early fire...

Guaranteed Packet Transfer in MANET In and Out of Coverage Areas and Energy Saving Using Random Casting

The main objective analysis of packet loss in coverage area nd less coverage area and reduced packet loss and increase e reliability in MANET . Each node on its neighborhood formation is updated in a timely manner to...

Superresolution: A Novel Application to Image Restoration

The subject of extracting particular high-resolution data from low-resolution images is one of the most important digital image processing applications in recent years, attracting much research. This paper shows how to i...

Agent Based Patient Scheduling Using Heuristic Algorithm

This paper describes about an agent based approach to patient scheduling using experience based learning. A heuristic algorithm is also used in the proposed framework. The evaluation on different learning techniques show...

Index Structure for the Multi-scale Representation of Multi-dimensional Spatial Data in WebGIS

To solve the problem that existing data structure cannot support the multi-scale representation of multi-dimensional spatial data in Web eographic Information System (WebGIS), a modified data structure has been put forw...

Download PDF file
  • EP ID EP139769
  • DOI -
  • Views 106
  • Downloads 0

How To Cite

Vijayalaxmi Cigala, Dhirajkumar Mahale, Monil Shah, Sukhada Bhingarkar (2011). Job-Oriented Monitoring of Clusters. International Journal on Computer Science and Engineering, 3(3), 1333-1337. https://europub.co.uk/articles/-A-139769