Elegant Job Scheduling Approach for Cloud Service Provider

Cloud computing is one the upcoming latest technology which is developing drastically. Today lots of business organizations and educational institutions are using Cloud environment. But one of the most important things is to increase the Quality of Service (QoS) of the system. The cloud environment is divided into two parts mainly, one is Cloud User (CU) and another is Cloud Service Provider (CSP). CU sends service requests to the CSP and all the requests are stored in a Request Queue (RQ) inside CSP which directly communicates with Smart Job Scheduler (SJS). SJS communicates with Resource Pool (RP) and tries to assign each of these jobs as per there requirement to the Resources. The main purpose of SJS is to optimal assignment of the tasks in the RP. This particular procedure is called Task Assignment Approach (TAA). In this paper we describe about one particular model of CSP and two algorithms related to TAA, one of them is Serial Task Assignment Approach (STAA) and another one is Optimal Task Assignment Approach (OTAA).

[1]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[2]  Hongqi Li,et al.  Research on Distributed Architecture Based on SOA , 2009, 2009 International Conference on Communication Software and Networks.

[3]  Harry G. Perros,et al.  Service Performance and Analysis in Cloud Computing , 2009, 2009 Congress on Services - I.

[4]  A. Taleb-Bendiab,et al.  A Comparative Study into Distributed Load Balancing Algorithms for Cloud Computing , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.

[5]  D. Kendall Stochastic Processes Occurring in the Theory of Queues and their Analysis by the Method of the Imbedded Markov Chain , 1953 .

[6]  Xu Lei,et al.  Cloud computing and services platform construction of telecom operator , 2009, 2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology.

[7]  Ng,et al.  Queueing Modelling Fundamentals || Open Queueing Networks , 2008 .

[8]  G. Fenu,et al.  An approach to a Cloud Computing network , 2008, 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT).

[9]  Borja Sotomayor,et al.  Virtual Infrastructure Management in Private and Hybrid Clouds , 2009, IEEE Internet Computing.

[10]  William J. Stewart,et al.  Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling , 2009 .

[11]  J. Rössl Above the Clouds , 2012 .

[12]  Luqun Li,et al.  An Optimistic Differentiated Service Job Scheduling System for Cloud Computing Service Users and Providers , 2009, 2009 Third International Conference on Multimedia and Ubiquitous Engineering.

[13]  S. S. Bhatia,et al.  International Journal of Emerging Technologies in Computational and Applied Sciences , 2015 .