Optimization of Resource Provisioning Cost in Cloud Computing

By Sivadon Chaisiri, Bu-Sung Lee, Dusist Niyato. IEEE Transactions on Services Computing, 2012

702 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/752b64b93033944bb92a7be7f2af9f3f4a358fad

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Zhi-hui Zhan
2. Henry Shu-Hung Chung
3. Jun Zhang
4. Yun Li
5. Yue-jiao Gong
6. Khaled Ben Letaief
7. Kaibin Huang
8. Samee Ullah Khan

In Computer Networks and Communications

1. Khaled Ben Letaief
2. Kaibin Huang
3. Changsheng You
4. Jun Zhang
5. Yuyi Mao
6. Henry Shu-Hung Chung
7. Rolf Stadler
8. S. Manvi

In Information Systems

1. Khaled Ben Letaief
2. Henry Shu-Hung Chung
3. Rolf Stadler
4. S. Manvi
5. Zhi-hui Zhan
6. Kaibin Huang
7. Samee Ullah Khan
8. Brendan Jennings

Citations in the corpus

• A Survey on Mobile Edge Computing: The Communication Perspective (2017, background): “can enhance the server scheduling performance [183], [184].”
• Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, background): “However, cloud service providers have varying pricing for computing instances based on different times of the day or SLAs For instance, an on-demand instance would be more expensive than a reserved instance [Chaisiri et al. 2012].”
• Resource management for Infrastructure as a Service (IaaS) in cloud computing: A survey (2014, background): “Chaisiri et al. (2012) have proposed an optimal cloud resource provisioning (OCRP) algorithm to provision resources offered by multiple cloud providers.”
• Load balancing in cloud computing: A big picture (2018, background): “The cloud user tries to depreciate the cost of resource provisioning by degrading the on-demand resource cost and over-subscribed resource cost of over-200 provisioning and under-provisioning [9].”
• Imperfect Information Dynamic Stackelberg Game Based Resource Allocation Using Hidden Markov for Cloud Computing (2018, background): “Algorithm 1 [28], [29], [30] is the algorithm of the multi-winner resource allocation.”
• Resource Management in Clouds: Survey and Research Challenges (2015, background): “[41] address cost minimization through the formulation of a stochastic programming model, proposing a provisioning algorithm that balances longer term, less costly use of reserved resources with shorter-term, more costly, on-demand resource usage; and Wang et al.”
• Security in cloud computing: Opportunities and challenges (2015, background): “Security in cloud computing: Opportunities and challenges Mazhar Ali a,c,⇑, Samee U. Khan a, Athanasios V. Vasilakos b a North Dakota State University, USA b Kuwait University, Kuwait c COMSATS Institute of Information Technology, Abbottabad, Pakistan a r t i c l e i n f o Article history: Received ”