Study on Efficient Service Broker Policy for Data Center Selection Analyst for Education System Using Cloud Computing

Author:

Bhardwaj Malti,Singh Kiran DeepORCID

Publisher

Springer Nature Singapore

Reference16 articles.

1. Wickremasinghe B, Buyya R (2019) Cloudanalyst: a cloudsim-based tool for modelling and analysis of large-scale cloud computing environments. MEDC Project Report

2. Cloud-analyst can be downloaded from here http://www.cloudbus.org/cloudsim

3. Limbani D, Oza B (2016) A proposed service broker strategy in cloudanalyst for cost-effective data center selection. Int J Eng Res Appl India 2(1):793–797

4. Sarfaraz Ahmed A (2016) Enhanced proximity-based routing policy for service brokering in cloud computing. Int J Eng Res Appl India 2(2):1453–1455

5. Dash M, Mahapatra A, Chakraborty NR (2016) Cost effective selection of data center in cloud environment. Int J Adv Comput Theory Eng (IJACTE) 2319–2526

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1. Improving Service Broker Policy of the Cloud Using Reinforcement Learning Through Equally Spread Current Execution Load Balancing Policy;Lecture Notes in Networks and Systems;2024

2. A Novel Cloud-based Framework to Predict the Employability of Students;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05

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