Skip to main content

Performance Optimization for Logs of Servers

  • Conference paper
High Performance Architecture and Grid Computing (HPAGC 2011)

Abstract

Performance of any entity is said to be high, if it does greater units of work in lesser amount of time. However tuning can make a significant amount of change in the efficiency of a system. Servers are of important considerations in these days with its greater potential to serve more number of clients at different levels of architectural tiers. Hence there is need to enhance the performance of these Logs of servers so that errors and related administrative tasks can more accurately known and updated to required levels so as to minimize the impact of the performance. There are a number of parameters that influences the performance of these servers, which upon automated optimization shall result in, greater help to the analysts and further use of the servers to persistently provide the services to the clients.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Li, Y., Liu, M.T.: Optimization of Performance Gain in Content Distribution Networks with Server Replicas

    Google Scholar 

  2. Diao, Y., Hellerstein, J.L., Storm, A., Surendra, M., Lightstone, S., Parekh, S., Garcia-Arellano, C., Thomas, I.B.M., Watson, J.: Research Center, Hawthorne, New York, USA IBM Toronto Lab, Markham, Ontario, Canada Incorporating Cost of Control into the Design of a Load Balancing Controller

    Google Scholar 

  3. Akyildiz, I.F.: Senior Member IEEE Georgia Institute of Technology, Atlanta, W. Liu, Student Member IEEE, Georgia Institute of Technology, Atlanta Performance Optimization of distributed-System Models with Unreliable Servers

    Google Scholar 

  4. http://www.redbooks.ibm.com/redbooks/pdfs/sg246451.pdf

  5. Nahum, E., Barzilai, T., Kandlur, D.D.: Performance Issues in WWW Servers

    Google Scholar 

  6. Mu rye1 a Weihru u ch DB2 For OS1390 V5 VS. V6 Outer Join Perfromance

    Google Scholar 

  7. Yu, H.,Moreira, J.E., Dube, P., Chung, I., Zhang, L.: Performance Studies of a WebSphere Application, Trade, in Scale-out and Scale-up Environments

    Google Scholar 

  8. Marsal, G., Denis, B., Faure, J.-M., Frey, G.: Evaluation of Response Time in Ethernet-based Automation Systems

    Google Scholar 

  9. Li, W.-S., Zilio, D.C., Batra, V.S., Subramanian, M., Zuzarte, C., Narang, I.: Load Balancing for Multi-tiered Database Systems through Autonomic Placement of Materialized Views

    Google Scholar 

  10. Max Felser Ethernet TCP/IP in Automation A short Introduction to real-time Requirements

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Vedaprakash, M., Alavala, R., Desai, V.R. (2011). Performance Optimization for Logs of Servers. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds) High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22577-2_39

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-22577-2_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22576-5

  • Online ISBN: 978-3-642-22577-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics