Home           Contact us           FAQs           
    
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
    Abstract
2013 (Vol. 6, Issue: 06)
Article Information:

Research on Performance Evaluation of Biological Database based on Layered Queuing Network Model under the Cloud Computing Environment

Zhengbin Luo and Dongmei Sun
Corresponding Author:  Zhengbin Luo 

Key words:  Biological database system, cloud computing, layered queuing network model, performance evaluation, , ,
Vol. 6 , (06): 1040-1047
Submitted Accepted Published
October 22, 2012 November 23, 2012 June 30, 2013
Abstract:

To evaluate the performance of biological database based on layered queuing network model and under cloud computing environment is a premise, as well as an important step for biological database optimization. Based on predecessorsí researches concerning computer software and hardware performance evaluation under cloud environment, the study has further constructed a model system to evaluate the performance of biological database based on layered queuing network model and under cloud environment. Moreover, traditional layered queuing network model is also optimized and upgraded in this process. After having constructed the performance evaluation system, the study applies laboratory experiment method to test the validity of the constructed performance model. Shown by the test result, this model is effective in evaluating the performance of biological system under cloud environment and the predicted result is quite close to the tested result. This has demonstrated the validity of the model in evaluating the performance of biological database.
Abstract PDF HTML
  Cite this Reference:
Zhengbin Luo and Dongmei Sun, 2013. Research on Performance Evaluation of Biological Database based on Layered Queuing Network Model under the Cloud Computing Environment.  Research Journal of Applied Sciences, Engineering and Technology, 6(06): 1040-1047.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved