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Relevant bibliographies by topics / CloudAnalyst

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Journal articles
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Academic literature on the topic 'CloudAnalyst'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "CloudAnalyst"

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Shanmugapriya, S., and N. Priya. "Examination of Cloud Simulation Platforms and Implementation of Load Balancing in CloudAnalyst." Indian Journal Of Science And Technology 17, no. 33 (2024): 3424–36. http://dx.doi.org/10.17485/ijst/v17i33.1751.

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Objectives: In light of the growing number of open-source simulation tools for load balancing in cloud computing, the objective of this research is to assess some of the most significant tools before selecting the best one depending on the requirements and goals of the research and also implementing the load balancing approach in the CloudAnalyst tool for dynamic workload (HTTP request) allocation and virtual machine selection in the Infrastructure as a Service (IaaS) heterogeneous cloud environment, with the aim of minimizing the searching time, improving the response time and datacenter proc

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S, Shanmugapriya, and Priya N. "Examination of Cloud Simulation Platforms and Implementation of Load Balancing in CloudAnalyst." Indian Journal of Science and Technology 17, no. 33 (2024): 3424–36. https://doi.org/10.17485/IJST/v17i33.1751.

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Abstract <strong>Objectives:</strong> In light of the growing number of open-source simulation tools for load balancing in cloud computing, the objective of this research is to assess some of the most significant tools before selecting the best one depending on the requirements and goals of the research and also implementing the load balancing approach in the CloudAnalyst tool for dynamic workload (HTTP request) allocation and virtual machine selection in the Infrastructure as a Service (IaaS) heterogeneous cloud environment, with the aim of minimizing the searching time, improving the re

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Patel, Sandip, Ritesh Patel, Hetal Patel, and Seema Vahora. "CloudAnalyst : A Survey of Load Balancing Policies." International Journal of Computer Applications 117, no. 21 (2015): 21–24. http://dx.doi.org/10.5120/20679-3525.

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*Akrati, Sharma Sanjiv Sharma. "A COMPREHENSIVE STUDY OF CLOUDANALYST TOOL AND ITS VARIOUS ALGORITHMS." International Journal OF Engineering Sciences & Management Research 3, no. 6 (2016): 1–7. https://doi.org/10.5281/zenodo.55186.

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In today’s era the main concern of technocrats is to find out the efficient storage space for users. So that they can store any kind or any size of data their without spending lots of money on storage devices. The birth of ‘cloud’ technology is just like boon for users. Anywhere and anytime usage of cloud services are quite beneficial for their users. Various cloud services like SAAS, PAAS, IAAS, DBAAS are taken on rent by the users for their own usage. CloudAnalyst tool based on cloudsim is used for storing data on different data centers. It also worked as a load balancer fo

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., T. Menakadevi. "AN OPTIMUM SERVICE BROKER POLICY FOR SELECTING DATA CENTER IN CLOUDANALYST." International Journal of Research in Engineering and Technology 05, no. 09 (2016): 76–84. http://dx.doi.org/10.15623/ijret.2016.0509011.

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Hassan, Jameela Abdulla, and Fahad Al-Dosari. "Cloudlet Networks Performance Analysis and Improvement." International Research Journal of Electronics and Computer Engineering 3, no. 2 (2017): 22. http://dx.doi.org/10.24178/irjece.2017.3.2.22.

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Abstract— Cloud computing is a Participation in the process and storage operations across distant servers that are shared by many organizations and users and thus be transferred from an application to a service. The organization can share data over the Internet and user can pay only for the resources that will be used only. While cloud computing has disadvantages, there are some advantages for cloudlets have over cloud computing which include: lower network latency and users having full ownership of the data shared. When the need of data to be stored in the servers grows quickly, the workload

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Shahid, Muhammad Asim, Muhammad Mansoor Alam, and Mazliham Mohd Su’ud. "A Systematic Parameter Analysis of Cloud Simulation Tools in Cloud Computing Environments." Applied Sciences 13, no. 15 (2023): 8785. http://dx.doi.org/10.3390/app13158785.

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To provide various applications in various domains, a large-scale cloud data center is required. Cloud computing enables access to nearly infinite computing resources on demand. As cloud computing grows in popularity, researchers in this field must conduct real-world experiments. Configuring and running these tests in an actual cloud environment is costly. Modeling and simulation methods, on the other hand, are acceptable solutions for emulating environments in cloud computing. This research paper reviewed several simulation tools specifically for cloud computing in the literature and presente

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Shanmugapriya, S., and N. Priya. "The Proposed IT-TALB in Infrastructure as a Service Cloud." Indian Journal Of Science And Technology 17, no. 16 (2024): 1654–62. http://dx.doi.org/10.17485/ijst/v17i16.3274.

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Objectives: The purpose of the proposed IT-TALB load balancing algorithm is to dynamically allocate the user's workload to the appropriate virtual machine in an Infrastructure as a Service (IaaS) cloud environment. Methods: This research work includes several key procedures. The user's workloads are distributed to the data center controller (DCC), which in turn uses the ECO-SBP service broker policy to select the efficient data center (DC) for processing the loads. The DCC forwards the load to the selected DC, and the IT-TALB load balancer picks the best Virtual Machine (VM) using CloudAnalyst

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S, Shanmugapriya, and Priya N. "The Proposed IT-TALB in Infrastructure as a Service Cloud." Indian Journal of Science and Technology 17, no. 16 (2024): 1654–62. https://doi.org/10.17485/IJST/v17i16.3274.

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Abstract <strong>Objectives:</strong> The purpose of the proposed IT-TALB load balancing algorithm is to dynamically allocate the user's workload to the appropriate virtual machine in an Infrastructure as a Service (IaaS) cloud environment. <strong>Methods:</strong> This research work includes several key procedures. The user's workloads are distributed to the data center controller (DCC), which in turn uses the ECO-SBP service broker policy to select the efficient data center (DC) for processing the loads. The DCC forwards the load to the selected DC, and the IT-TALB load balan

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Daisy Sharmah. "Integrating Honey Bee Load Balancing Algorithm with Role-Based Access Control in Blockchain Technology to Minimise Response Time in Cloud Computing." Journal of Information Systems Engineering and Management 10, no. 33s (2025): 702–13. https://doi.org/10.52783/jisem.v10i33s.5629.

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The RBAC is considered one of the best security mechanisms used in cloud computing to assign roles and grant specific permissions. The implementation of a RBAC mechanism for load balancing can enhance the overall performance of the server. In this paper, we are focusing on the significance of using the RBAC mechanism in the Honey Bee Load Balancing Algorithm to improve the security of the blockchain consortium system. We have proposed an algorithm using the concept of RBAC with Honey Bee Load Balancing Algorithm in Blockchain to minimize the response time in the Cloud computing. The proposed a

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Book chapters on the topic "CloudAnalyst"

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Qarqur, Hasan, and Melike Sah. "Simulation of Algorithms and Techniques for Green Cloud Computing Using CloudAnalyst." In Learning and Analytics in Intelligent Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65407-8_34.

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Lakshmi, Balaraju Vijaya, and Aruna Pavate. "ANALYSIS OF CLOUD PERFORMANCE USING CLOUD SIMULATORS FOR MULTI-SCALE APPLICATIONS." In Futuristic Trends in Computing Technologies and Data Sciences Volume 2 Book 18. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2023. http://dx.doi.org/10.58532/v2bs18p1ch6.

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Cloud Computing is most commonly adopted technology not only by the IT users but as well as researchers. Before deploying any application in real cloud, it is necessary to check with all possible input in order to audit and analyze expected outcome. IT users as well as researchers finds convenient to use the cloud simulation tools to test the developed applications and its scenarios. The most appropriate and accurate simulator gives detailed insight in application study and updating. Many simulators are available for all current technologies. This work aims at comparative analysis of three sim

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Conference papers on the topic "CloudAnalyst"

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Aruna, M., D. Bhanu, and S. Karthik. "Allocating resources in cloud using CloudAnalyst." In 2017 International Conference on Intelligent Computing and Control (I2C2). IEEE, 2017. http://dx.doi.org/10.1109/i2c2.2017.8321912.

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Suo, Dong, and Jianling Gao. "A strategy of building Cloud Manufacturing Service Platform based on CloudAnalyst." In 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC). IEEE, 2013. http://dx.doi.org/10.1109/mec.2013.6885404.

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Wickremasinghe, Bhathiya, Rodrigo N. Calheiros, and Rajkumar Buyya. "CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications." In 2010 24th IEEE International Conference on Advanced Information Networking and Applications. IEEE, 2010. http://dx.doi.org/10.1109/aina.2010.32.

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Rawat, Pradeep Singh, G. P. Saroha, and Varun Barthwal. "Performance evaluation of social networking application with different Load balancing policy across virtual machine in a single Data Center using CloudAnalyst." In 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2012. http://dx.doi.org/10.1109/pdgc.2012.6449866.

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