Effective Mechanism to Reduce Response Time in Public Cloud

  K.Kiran Kumar,  R.Mangalagowri

Cloud computing is emerging as a key technology for sharing resources. Public cloud is an environment that contains collection of data centers, or cloud data storages distributed in many different locations and interconnected by high speed networks. Cloud computing is efficient and scalable but maintaining the stability of processing is very difficult. Public cloud has numerous numbers of nodes; to manage the public cloud effectively it has to be partitioned. Partitioning the public cloud is done based on the systems configuration like memory, processor, and network bandwidth which reduce the response time and increases the availability. All the partitions are kept under the control of a system called main controller. Initially tasks arrive at the main controller. The main controller schedules the task to the appropriate partition based on average execution time of tasks. The average execution time is calculated using Shortest Job First (SJF) scheduling algorithm which considers the weighted average of previous execution times. Distribution of tasks according to the execution time of the task reduces the waiting time and improves the response time and throughput.

Keywords- public cloud, cloud partition, main controller, execution time.

Unique Identification Number - IJEDR1402045
Page Number(s) - 1555-1558
Pubished in - Volume 2 | Issue 2 | June 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  K.Kiran Kumar,  R.Mangalagowri,   "Effective Mechanism to Reduce Response Time in Public Cloud", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 2, pp.1555-1558, June 2014, Available at :http://www.ijedr.org/papers/IJEDR1402045.pdf