Time Critical Analysis of Resource Technique in Cloud Computing

Cloud computing distributes the computational tasks on the resource pool which consists of massive computers so that the service consumer can gain maximum computation strength, more storage space and software services for its application according to its need. A huge amount of data moves from user to host and hosts to user in the cloud environment. Based on the above two considerations, how to select appropriate host for accessing resources and creating a virtual machine (VM) to execute applications so that execution becomes more efficient and access cost becomes low are the challenging tasks. In this paper, an attempt has been made to propose a host selection model based on minimum network delay to minimize propagation time of input and output data by selecting nearest host into the network and cloudlet.

[1]  Jianhua Gu,et al.  A Scheduling Strategy on Load Balancing of Virtual Machine Resources in Cloud Computing Environment , 2010, 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming.

[2]  Michael Devetsikiotis,et al.  Aggregated-DAG Scheduling for Job Flow Maximization in Heterogeneous Cloud Computing , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[3]  Rajkumar Buyya,et al.  Energy-Efficient Scheduling of HPC Applications in Cloud Computing Environments , 2009, ArXiv.

[4]  Enda Barrett,et al.  A Learning Architecture for Scheduling Workflow Applications in the Cloud , 2011, 2011 IEEE Ninth European Conference on Web Services.

[5]  Dan Wang,et al.  Cloud Task Scheduling Based on Load Balancing Ant Colony Optimization , 2011, 2011 Sixth Annual Chinagrid Conference.

[6]  V. Uma,et al.  Semantic based Resource Provisioning and scheduling in inter-cloud environment , 2012, 2012 International Conference on Recent Trends in Information Technology.

[7]  Jason Lee,et al.  Data Intensive Distributed Computing; A Medical Application Example , 1999, HPCN Europe.

[8]  Shu-Chin Wang,et al.  A Three-Phases Scheduling in a Hierarchical Cloud Computing Network , 2011, 2011 Third International Conference on Communications and Mobile Computing.

[9]  Nitin Rakesh,et al.  Different Job Scheduling Methodologies for Web Application and Web Server in a Cloud Computing Environment , 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.

[10]  Thinn Thu Naing,et al.  An efficient approach for virtual machines scheduling on a private cloud environment , 2011, 2011 4th IEEE International Conference on Broadband Network and Multimedia Technology.