DOI:​10.22452/MJCS.VOL30NO1.1
Corpus ID: 64481173
Dynamic Pricing Scheme for Resource Allocation in Multi-Cloud Environment
Nurul Ainaa Muhamad Shaari, Ang Tan Fong, +1 authorLiew Chee Sun
Published 2017
Computer Science

Malaysian Journal of Computer Science
Cloud computing has taken the IT and business world by storm through its cost savings and quick-and-easy adoption. Currently, fixed price model is dominating the pricing schemes in the cloud market… Expand
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Figures, Tables, and Topics from this paper
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Cloud computing
Fairness measure
Memory management
Data-intensive computing
Mathematical optimization
Job stream
Algorithm
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References
SHOWING 1-10 OF 29 REFERENCES
Dynamic placement of virtual machines for cost optimization in multi-cloud environments
J. Lucas-Simarro, R. Moreno-Vozmediano, R. Montero, I. Llorente
Computer Science
2011 International Conference on High Performance Computing & Simulation
2011
TLDR
A scheduling model for optimizing virtual cluster placements across available cloud offers is proposed and the results show that user's investment decreases when part of the virtual infrastructure is dynamically distributed among clouds instead of maintaining it in a fixed one. Expand
118 Citations
Bid price control and dynamic pricing in clouds
A. Anandasivam, Marc Premm
Business, Computer Science
ECIS

2009
TLDR
Simulation results show that an optimally adjusted dynamic pricing model will outperform any pricing model with static prices and will simultaneously contribute to slightly smoother resource utilization in some cases. Expand
55 Citations
The pricing model of cloud computing services
Dan Ma, J. Huang
Computer Science
ICEC '12

2012
TLDR
A multiple-stage game is built to study users' best job submission strategy under such a mixed pricing scheme of Amazon EC2, and to analyze the potential benefits and influence of such pricing scheme. Expand
Cloud Computing Pricing Models: A Survey
May Al-Roomi, Shaikha Al-Ebrahim, Sabika Buqrais, Imtiaz Ahmad
Computer Science
2013
TLDR
This work focuses on comparing many employed and proposed pricing models techniques and highlights the pros and cons of each, and finds that most approaches are theoretical and not implemented in the real market, although their simulation results are very promising. Expand
A survey on resource allocation strategies in cloud computing
V. Anuradha, D. Sumathi
Computer Science
International Conference on Information Communication and Embedded Systems (ICICES2014)
2014
TLDR
This study aims to identify an efficient resource allocation strategy that utilizes resources effectively in the resource constrained environment of cloud computing.Expand
183 Citations
Dynamic Resource Pricing on Federated Clouds
Marian Mihailescu, Y. M. Teo
Computer Science
2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
2010
TLDR
This paper presents a dyanmic pricing scheme suitable for rational users requests containing multiple resource types, and shows that user welfare and the percentage of successful requests is increased by using dynamic pricing. Expand
202 Citations
PDF
FlexPRICE: Flexible Provisioning of Resources in a Cloud Environment
T. Henzinger, Anmol V. Singh, Vasu Singh, Thomas Wies, D. Zufferey
Computer Science
2010 IEEE 3rd International Conference on Cloud Computing
2010
TLDR
A flexible framework that hides the complexity of the actual scheduling decisions from the user, but still provides enough flexibility to meet the users actual demands, which is called FlexPRICE (Flexible Provisioning of Resources in a Cloud Environment). Expand
59 Citations
PDF
Maximizing Profit in Cloud Computing System via Resource Allocation
H. Goudarzi, Massoud Pedram
Computer Science
2011 31st International Conference on Distributed Computing Systems Workshops
2011
TLDR
Simulation results demonstrate that the proposed heuristic algorithm is robust (produces high quality solutions independent of the initial solution provided) and produces solutions very close to the "optimum" (best solution found by Monte Carlo simulation).Expand
89 Citations
PDF
A Consumer-Provider Cloud Cost Model Considering Variable Cost
W. Mach, E. Schikuta
Computer Science
2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing
2011
TLDR
A concise, but comprehensive analytical model which does not only include fixed cost, but also variable cost allowing for the development and evaluation of business strategies for cloud environments, aiming at comprising all kinds of cost of a commercial environment. Expand
31 Citations
PDF
Pricing and Resource Allocation in a Cloud Computing Market
Linna Du
Computer Science
2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
2012
TLDR
The results indicate that hybrid cloud performs the best and the resource allocation model helps optimally allocate the pooled resources. Expand
19 Citations
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