Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Analysis and Development of Load Balancing Framework for EyeOS


Affiliations
1 Department of Computer Science, Saurashtra University, Rajkot, Gujarat., India
2 Department of M.Sc. (IT&CA), GK&CK Bosamia College, Jetpur, Gujarat., India
     

   Subscribe/Renew Journal


Cloud computing, is a growing concept for the internet based technologies which provides different kinds of services such as SAAS, MASS, PAAS, CAAS, IAAS, as pay per use concept. Cloud computing provide various deployment models such as public, private, and hybrid clouding. Today, many web based OS available such as Google Chrome OS, EyeOS. They provide services like as file, document and user management, endusers only required internet connection and browser as application. When number of user increased to access services provided by web based OS main questions arise on performance issues such as response time, data centre processing time, etc., Load balancing is a solution for performance. This is use for increase the performance of web based OS/applications. In this research paper we were do comparison of different web OS such as EyeOS, CorneliOS, and Lucid desktop and also done experiments and develop a load balancing framework for EyeOS.

Keywords

Web OS, Eye OS, Corneli OS, Cloud Analyst, Load Balancing, Service Breaker Policy
Subscription Login to verify subscription
User
Notifications
Font Size


  • http://www.oreillynet.com/pub/a/network/2002/04/09/future.html (2013).
  • Banu, V. R. (2011). Implementation of Financial System using Eye OS in the Cloud Environment. Recent Trends in Information-Technology (ICRTIT), International Conference (pp. 656-660).
  • Deepa, K. (2012). B2B System- An Approach through Cloud-Computing. International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April, 2012 Web.
  • EyeOS. (2013). Retrieved from http://www.EyeOS.org/.
  • Kansal, N. J. & Chana, I. (2012). Cloud load balancing techniques: A step towards green computing. International Journal of Computer Science, Issues, January, 9(1), 1.
  • Wickremasinghe, B., Calheiros, R. N. & Buyya, R. (2010). Cloud Analyst: A Cloud Sim-based Visual Modeller for Analysing Cloud Computing Environments and Applications. 24th IEEE International Conference on Advanced Information Networking and Applications.
  • Malhotra, M. (2011). Simulation for enhancing the response and processing time of datacenter. International Journal of Computing and Corporate Research, June, 1(3), 1-11.
  • Kaur, J. (2012). Comparison of load balancing algorithms in a cloud. International Journal of Engineering Research and Applications, 2(3), 1169-173.
  • Raj, G., Nitika. & Shaveta. (2012). Comparative analysis of load balancing algorithms in cloud computing. International Journal of Advanced Research in Computer Engineering & Technology, May, 1(3), 120-124.
  • Cloud Analyst. (2013). http://www.cloudbus.org/cloudsim.
  • Rodrigo N. Calheiros, Rajiv Ranjan, Anton Beloglazov, Cesar A. F. De.
  • Rose, D. & Buyya, R. (2011). Cloud-Sim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Software, Practice and Experience, January, 44(1), 23-50.
  • EyeOS (2013). Retrieved from http://www.eyeos.com/.
  • Lucid Desktop. (2013). Retrieved from http://www.lucid-desktop.org/.
  • Corneli-OS. Retrieved from http://www.cloudtweaks.com/2011/07/10-cloud-based-os-operating-systems/.

Abstract Views: 699

PDF Views: 4




  • Analysis and Development of Load Balancing Framework for EyeOS

Abstract Views: 699  |  PDF Views: 4

Authors

A.M. Gosai
Department of Computer Science, Saurashtra University, Rajkot, Gujarat., India
Rushi R. Raval
Department of M.Sc. (IT&CA), GK&CK Bosamia College, Jetpur, Gujarat., India

Abstract


Cloud computing, is a growing concept for the internet based technologies which provides different kinds of services such as SAAS, MASS, PAAS, CAAS, IAAS, as pay per use concept. Cloud computing provide various deployment models such as public, private, and hybrid clouding. Today, many web based OS available such as Google Chrome OS, EyeOS. They provide services like as file, document and user management, endusers only required internet connection and browser as application. When number of user increased to access services provided by web based OS main questions arise on performance issues such as response time, data centre processing time, etc., Load balancing is a solution for performance. This is use for increase the performance of web based OS/applications. In this research paper we were do comparison of different web OS such as EyeOS, CorneliOS, and Lucid desktop and also done experiments and develop a load balancing framework for EyeOS.

Keywords


Web OS, Eye OS, Corneli OS, Cloud Analyst, Load Balancing, Service Breaker Policy

References