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Elastic Rapid Provisioning, Multiple Source Monitoring Framework Architecture

by Akshay Potnis, Rohan Khadilkar, Sarang Rakhecha, Vallabh Naik
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 100 - Number 7
Year of Publication: 2014
Authors: Akshay Potnis, Rohan Khadilkar, Sarang Rakhecha, Vallabh Naik
10.5120/17535-8110

Akshay Potnis, Rohan Khadilkar, Sarang Rakhecha, Vallabh Naik . Elastic Rapid Provisioning, Multiple Source Monitoring Framework Architecture. International Journal of Computer Applications. 100, 7 ( August 2014), 6-11. DOI=10.5120/17535-8110

@article{ 10.5120/17535-8110,
author = { Akshay Potnis, Rohan Khadilkar, Sarang Rakhecha, Vallabh Naik },
title = { Elastic Rapid Provisioning, Multiple Source Monitoring Framework Architecture },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 100 },
number = { 7 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume100/number7/17535-8110/ },
doi = { 10.5120/17535-8110 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:29:18.786176+05:30
%A Akshay Potnis
%A Rohan Khadilkar
%A Sarang Rakhecha
%A Vallabh Naik
%T Elastic Rapid Provisioning, Multiple Source Monitoring Framework Architecture
%J International Journal of Computer Applications
%@ 0975-8887
%V 100
%N 7
%P 6-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, elastic, multiple sources monitoring framework architecture which can be rapidly provisioned with respect to the monitoring requirements is being proposed. The need of system performance monitoring is of prime concern along with a tool to monitor user related performance i. e. in case of a product firm; they might need to monitor the sales regularly to predict some future trends. The system metrics combined with logs need to be plotted side by side to extract the similarity between them to predict efficiency of system resource usage. Moreover, each user might be using a different database as data source . Bearing this multi-faceted heterogeneity in mind, framework architecture for multiple-source, multipurpose monitoring is being proposed which can give the user a fully satisfying monitoring experience. A new concept of "MVC as an algorithm" can be an accurate measure for an efficient cloud based monitoring service (SAAS) and can also be incorporated with the framework architecture.

References
  1. Software as a Service http://www. ibm. com/cloud-computing/in/en/saas. html
  2. Kibana3 Dashboard http://logstash. openstack. org/
  3. JavaScript Graphing Mechanisms or Libraries http://techslides. com/50-javascript-charting-and-graphics-libraries/
  4. Graphing Libraries on Gists Lists https://gist. github. com/eabait/9916975
  5. Representational State Transfer http://rest. elkstein. org/
  6. Time Series Databses https://code. google. com/p/kairosdb/
  7. NoSql Databses http://nosql-database. org/
  8. Model View Controller http://msdn. microsoft. com/en-us/library/ff649643. aspx
  9. Zulkernine, F. H. ; Martin, P. "An Adaptive and Intelligent SLA Negotiation System for Web Services", Services Computing, IEEE Transactions on, On page(s): 31 - 43 Volume: 4, Issue: 1, Jan. -March 2011
Index Terms

Computer Science
Information Sciences

Keywords

Software as a Service (SAAS) Graphing-mechanism JavaScript Object Notation (JSON) Monitoring Parsing Time-series database Web services

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