Day-ahead Pricing Model for Smart Cloud using Time Dependent Pricing
Автор: Chetan Chawla, Inderveer Chana
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 11 vol.7, 2015 года.
Бесплатный доступ
Smart clouds allow every consumer and cloud service provider a two-way communication, thus enabling cloud service provider to generate a time dependent pricing model using a feedback loop. This model charges a consumer more in peak periods and less during off peak periods, which encourages consumers to reschedule their workload to less traffic (off-peak) periods. This helps service providers to practice a versatile pricing technique to increase their profits by covering off-peak demand and minimizing the provider's cost optimization problem. It also minimizes the execution time in setting these prices by Compromised Cost-Time Based (CCTB) scheduling. Shifting workload is a probabilistic function which tells consumers to shift their workload. This paper presents a model to calculate day-ahead prices. The proposed model dynamically adjusts the rewards or discounts based on consumer behavior in the past, and helps providers to maximize their revenue by shifting the consumers' workload.
Cloud computing, time dependent pricing, day-ahead pricing, pricing, cloud workload
Короткий адрес: https://sciup.org/15011469
IDR: 15011469
Список литературы Day-ahead Pricing Model for Smart Cloud using Time Dependent Pricing
- R. Buyya, C. S. Yeo, S. Venugopal, J. Broberg and I. Brandic, "Cloud computing and emerging IT platforms: Vision, hype and reality for delivering computing as the 5th utility," Future Generation Computer Systems, Vol. 25, no. 6, pp.599-616, 2009.
- M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, M. Zaharia. Above the Clouds: A Berkeley View of Cloud computing. Technical Report No. UCB/EECS-2009-28, University of California at Berkley, USA, Feb. 10, 2009.
- P. Samimi, and A. Patel, "Review of pricing models for grid & cloud computing," in ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics, 2011, pp. 634-639.
- App Engine Pricing [Online]. Available: https://cloud.google.com/appengine/pricing
- Amazon Web Service Pricing [Online]. Available: http://aws.amazon.com/pricing/
- Azure Pricing [Online]. Available: http://azure.microsoft.com/en-us/pricing/
- vThunder Pay-as-you-Go Licensing Model [Online]. Available:https://www.a10networks.com/products/thunder-series-appliances/vthunder/ vthunder-pay-you-go
- B. Sharma, R. K. Thulasiram, P. Thulasiraman, S. K. Garg, and R. Buyya, "Pricing cloud compute commodities: A novel financial economic model," in 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing. IEEE Computer Society, 2012.
- V. N. Dhawas,P. Juikar,N. Patekar,N. Lendghar, and S. Vartak,"A Secured Cost Effective Multi-Cloud Storage in Cloud Computing," International Journal of Scientific & Engineering Research, vol. 4, Issue 5, pp. 1017-1021, 2013.
- S. A. Bello, and G. A. Wakil, "Flexible Pricing Models for Cloud Services," Transactions on Networks and Communications, vol. 2, no. 5, pp. 15-28, 2014.
- Shang, S., J. Jiang, Y. Wu, Z. Huang, G. Yang, and W. Zheng, "DABGPM: A Double Auction Bayesian Game-Based Pricing Model in Cloud Market," Network and Parallel Computing, pp. 155-164, 2010.
- I. Fujiwara, K. Aida, and I. Ono, "Applying Double-sided Combinational Auctions to Resource Allocation in Cloud Computing", Proceedings of the 10th Annual International Symposium on Applications and the Internet, IEEE, July 19- 23, pp. 7-14, 2010.
- B. Pourebrahimi, K. Bertels, G. Kandru, and S. Vassiliadis, "Market-based resource allocation in grid," In 2nd IEEE International conference on eScience and grid Computing, 2006.
- M. Schwind, O. Gujo, and T. Stockheim, "Dynamic resource prices in a combinatorial grid system," in Proceedings of the IEEE Joint Conference on E-Commerce Technology (CEC'06) and Enterprise Computing, E-Commerce and E-Services (EEE'06), San Francisco, CA, 2006.
- S. Singh, and I. Chana, "QRSF: QoS-aware resource scheduling framework in cloud computing," The Journal of Supercomputing, vol. 71, Issue 1, pp. 241-292, 2015.
- E. Hirst, "The financial and physical insurance benefits of price-responsive demand," Elect. J., vol. 15, no. 4, pp. 66–73, 2002.
- S Singh, and I. Chana, "Q-aware: Quality of service based cloud resource provisioning," Computers & Electrical Engineering, 2015.
- M. Su, and C. Chou, "A modified version of the K-means algorithm with a distance based on cluster symmetry," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, pp. 674–680, Jun. 2001.
- K. Liu, H. Jin, J. Chen, X. Liu, D. Yuan and Y. Yang, "A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on Cloud Computing Platform," International Journal of High Performance Computing Applications Sage, pp.445-456, 2010.
- A. Verma, and S. Kaushal, "Deadline and budget distribution based cost-time optimization workflow scheduling algorithm for cloud," in International conference on recent advances and future trends in information technology (iRAFIT 2012), 2012.
- G. Eason, B. R. N. Calheiros, R. Ranjan, C. A. F. D. Rose, and R. Buyya, "Cloudsim: A novel framework for modeling and simulation of cloud computing infrastructures and services," Computing Research Repository, vol. abs/0903.2525, 2009.
- S. Y. Hashemi, and P. S. Hesarlo,"Security, Privacy and Trust Challenges in Cloud Computing and Solutions," International Journal of Computer Network and Information Security (IJCNIS), vol.6, no.8, pp.34-40, 2014.
- M. V. Thomas, A. Dhole, and K. Chandrasekaran,"Single Sign-On in Cloud Federation using CloudSim," International Journal of Computer Network and Information Security (IJCNIS), vol.7, no.6, pp.50-58, 2015.
- C. Chawla, and I. Chana, "Strategy-proof Pricing Approach for Cloud Market," arXiv preprint arXiv: 1506.06648, 2015.
- C. Chawla, and I. Chana, "Optimal Time Dependent Pricing Model for Smart Cloud with Cost Based Scheduling," in Third International Symposium on Women in Computing and Informatics (WCI-2015), 2015.
