Research Cell: An International Journal of Engineering Sciences

Open Access Open Access  Restricted Access Subscription Access

A Fairness Framework for Resource Allocation in Cloud Computing


Affiliations
1 Department of Computer Science & Information Technology, Central University of Jammu, Jammu and Kashmir, India
 

Cloud computing is a model for empowering request to arrange access to a common pool of configurable registering resource. In distributed computing frameworks the resource pool is built from an extensive number of heterogeneous servers. The multi-resource distribution component, called DRFH is a Predominant Resource Reasonableness (DRF) from a solitary server to various heterogeneous servers. The DRFH has various profoundly attractive properties. With DRFH, no client lean towards the allotment of another client; nobody can enhance its portion without diminishing that of the others; and all the more imperatively, no client has an impetus to lie about its resource request. As a direct application, we outline a straightforward heuristic that actualizes DRFH in true frameworks. Expansive scale reenactments driven by Google group follows demonstrate that DRFH altogether outflanks the conventional opening based scheduler, prompting substantially higher asset/resource use with considerably shorter occupation finish times.
User
Notifications
Font Size

  • E. J. Qaisar, “Introduction to cloud computing for developers: Key concepts, the players and their offerings,” 2012 IEEE TCF Inf. Technol. Prof. Conf. TCF Pro IT 2012, 2012.

  • L. Popa et al., “FairCloud: Sharing the Network in Cloud Computing,” Sigcomm’12, vol. 42, pp. 187–198, 2012.

  • S. Gong, B. Yin, W. Zhu, and K.-Y. Cai, “Adaptive Resource Allocation of Multiple Servers for Service-Based Systems in Cloud Computing,” 2017 IEEE 41st Annu. Comput. Softw. Appl. Conf., no. 61402027, pp. 603–608, 2017.

  • S. Mneimneh, “Computer Networks Fairness,” vol. 2.

  • V. Jeyakumar, M. Alizadeh, S. Narayana, R. Gopalakrishnan, and A. Kabbani, “Fairness and Efficiency in Network Performance Isolation.”

  • M. S. Ahuja, R. Kaur, and D. Kumar, “Trend Towards the Use of Complex Networks in Cloud Computing Environment,” Int. J. Hybrid Inf. Technol., vol. 8, no. 3, pp. 297–306, 2015.

  • R. Chang, “Network Virtualization for Cloud Computing p g,” pp. 1–41, 2010.

  • A. K. Jain, S. C. Dass, and K. Nandakumar, “Soft Biometric Traits for Personal Recognition Systems,” no. July, pp. 731–738, 2004.

  • P. Cloud and S. Options, “Cloud Storage,” Nonprofit Technology Collab., pp. 3–6, 2013.

  • D. Sarddar, P. Sen, and M. K. Sanyal, “Central controller framework for mobile cloud computing,” Int. J. Grid Distrib. Comput., vol. 9, no. 4, pp. 233–240, 2016.

  • R. Patel and S. Patel, “Survey on Resource Allocation Strategies in Cloud Computing,” Int. J. Eng. Res. Technol. IJERT, vol. 2, no. 2, pp. 1–5, 2013.

  • Y. Ito, H. Koga, and K. Iida, “A Bandwidth Allocation Scheme to Improve Fairness in Data Center Networks,” Proc. 2014 Conex. Student Work. - Conex. Student Work. ’14, pp. 7–8, 2014.

  • S. Akintoye, A. Bagula, Y. Djemaiel, and N. Bouriga, “A Survey on Storage Techniques in Cloud Computing,” Int. J. Comput. Appl., vol. 163, no. 2, pp. 22–30, 2017.

  • K. Choi, Y. Chun, S. Park, and Y. Shin, “Method for Calculation of Cloud Computing Server Capacity Hardware Capacity Calculation for Cloud Computing,” vol. 87, no. 11, pp. 38–41, 2015.


Abstract Views: 211

PDF Views: 0




  • A Fairness Framework for Resource Allocation in Cloud Computing

Abstract Views: 211  |  PDF Views: 0

Authors

Imtiaz Ahmed
Department of Computer Science & Information Technology, Central University of Jammu, Jammu and Kashmir, India
Yashwant Singh
Department of Computer Science & Information Technology, Central University of Jammu, Jammu and Kashmir, India

Abstract


Cloud computing is a model for empowering request to arrange access to a common pool of configurable registering resource. In distributed computing frameworks the resource pool is built from an extensive number of heterogeneous servers. The multi-resource distribution component, called DRFH is a Predominant Resource Reasonableness (DRF) from a solitary server to various heterogeneous servers. The DRFH has various profoundly attractive properties. With DRFH, no client lean towards the allotment of another client; nobody can enhance its portion without diminishing that of the others; and all the more imperatively, no client has an impetus to lie about its resource request. As a direct application, we outline a straightforward heuristic that actualizes DRFH in true frameworks. Expansive scale reenactments driven by Google group follows demonstrate that DRFH altogether outflanks the conventional opening based scheduler, prompting substantially higher asset/resource use with considerably shorter occupation finish times.

References