ARCHIVES

[1]. Xiangqiang Gao, Rongke Liu, and Aryan Kaushik. "Hierarchical multi-agent optimization for resource allocation in cloud
computing." IEEE Transactions on Parallel and Distributed Systems, Vol. 32, No. 3, Pp. 692-707, 2022.
[2]. Pravin Albert, and Manikandan Nanjappan. "An efficient kernel FCM and artificial fish swarm optimization-based optimal
resource allocation in cloud." Journal of Circuits, Systems and Computers, Vol. 29, No. 16, 2020.
[3]. Prasad Devarasetty, and Satyananda Reddy. "Genetic algorithm for quality of service based resource allocation in cloud
computing." Evolutionary Intelligence, Vol. 14, No. 2, Pp. 381-387, 2021.
[4]. Lailan M. Haji, S. Zeebaree, Omar M. Ahmed, Amira B. Sallow, Karwan Jacksi, and Rizgar R. Zeabri. "Dynamic resource
allocation for distributed systems and cloud computing." TEST Engineering & Management, Vol. 83, Pp. 22417-22426, 2020.
[5]. J.Praveenchandar, and A. Tamilarasi. "Dynamic resource allocation with optimized task scheduling and improved power
management in cloud computing." Journal of Ambient Intelligence and Humanized Computing, Vol. 12, No. 3, Pp. 4147-4159,
2021.
[6]. Ali Belgacem, Kadda Beghdad-Bey, Hassina Nacer, and Sofiane Bouznad. "Efficient dynamic resource allocation method for cloud
computing environment." Cluster Computing, Vol. 23, No. 4, Pp. 2871-2889, 2020.
[7]. Xiaohui Wang, Haoran Gu, and YuXian Yue. "The optimization of virtual resource allocation in cloud computing based on
RBPSO." Concurrency and Computation: Practice and Experience Vol, 32, No. 16, 2020.
[8]. Ritu Singhal, and Archana Singhal. "A feedback-based combinatorial fair economical double auction resource allocation model
for cloud computing." Future Generation Computer Systems, Vol. 115, Pp. 780-797, 2021.
[9]. Seyedeh Maedeh Mirmohseni, Chunming Tang, and Amir Javadpour. "Using markov learning utilization model for resource
allocation in cloud of thing network." Wireless Personal Communications, Vol. 115, No. 1, Pp. 653-677, 2020.
[10]. Xing Chen, Haijiang Wang, Yun Ma, Xianghan Zheng, and Longkun Guo. "Self-adaptive resource allocation for cloud-based
software services based on iterative QoS prediction model." Future Generation Computer Systems, Vol. 105, Pp. 287-296, 2020.
[11]. Taha Alfakih, Mohammad Mehedi Hassan, Abdu Gumaei, Claudio Savaglio, and Giancarlo Fortino. "Task offloading and
resource allocation for mobile edge computing by deep reinforcement learning based on SARSA." IEEE Access, Vol. 8, Pp. 54074-
54084, 2020.
[12]. Xiang Wu, Huanhuan Wang, Dashun Wei, and Minyu Shi. "ANFIS with natural language processing and gray relational analysis
based cloud computing framework for real time energy efficient resource allocation." Computer Communications, Vol. 150, Pp.
122-130, 2020.
[13]. J.Srinivasan, and C. Suresh Gnana Dhas. "Cloud management architecture to improve the resource allocation in cloud IAAS
platform." Journal of Ambient Intelligence and Humanized Computing, Pp. 1-8, 2021.
[14]. Xin Li, Yifan Dang, Mohammad Aazam, Xia Peng, Tefang Chen, and Chunyang Chen. "Energy-efficient computation offloading in
vehicular edge cloud computing." IEEE Access, Vol. 8, Pp. 37632-37644, 2020.
[15]. Hao Feng, Songtao Guo, Anqi Zhu, Quyuan Wang, and Defang Liu. "Energy-efficient user selection and resource allocation in
mobile edge computing." Ad Hoc Networks, Vol. 107, No. 102202, 2020.
[16]. Ennio Torre, Juan J. Durillo, Vincenzo De Maio, Prateek Agrawal, Shajulin Benedict, Nishant Saurabh, and Radu Prodan. "A
dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers." Information and Software
Technology, Vol. 128, No. 106390, 2020.
[17]. Rambabu Medara, and Ravi Shankar Singh. "Energy-aware workflow task scheduling in clouds with virtual machine consolidation
using discrete water wave optimization." Simulation Modelling Practice and Theory, Vol. 110, No. 102323, 2021.
[18]. Shvan Omer, Sadoon Azizi, Mohammad Shojafar, and Rahim Tafazolli. "A priority, power and traffic-aware virtual machine
placement of IoT applications in cloud data centers." Journal of Systems Architecture, Vol. 115, No. 101996, 2021.
[19]. Sukhpal Singh Gill, Peter Garraghan, Vlado Stankovski, Giuliano Casale, Ruppa K. Thulasiram, Soumya K. Ghosh, Kotagiri
Ramamohanarao, and Rajkumar Buyya. "Holistic resource management for sustainable and reliable cloud computing: An
innovative solution to global challenge." Journal of Systems and Software, Vol. 155, Pp. 104-129, 2019.
[20]. Joseph Nathanael Witanto, Hyotaek Lim, and Mohammed Atiquzzaman. "Adaptive selection of dynamic VM consolidation
algorithm using neural network for cloud resource management." Future generation computer systems, Vol. 87, Pp. 35-42, 2018.
[21]. Fatemeh Khoda Parast, Chandni Sindhav, Seema Nikam, Hadiseh Izadi Yekta, Kenneth B.Kent and SaqibHakak, "Cloud
computing security: A survey of service-based models", Computers & Security, Vol. 114, No. 102580, 2022.
[22]. B. KeziaRani, B. Padmaja RaniDr. and A. Vinaya Babu Dr, "Cloud Computing and Inter-Clouds – Types, Topologies and
Research Issues", Procedia Computer Science, Vol. 50, Pp. 24-29, 2015.
[23]. Hefei Jia, Xu Liu, Xiaoqiang Di, Hui Qi, Ligang Cong, Jinqing Li and Huamin Yanga, Security Strategy for Virtual Machine
Allocation in Cloud Computing", Procedia Computer Science, Vol. 147, Pp. 140–144, 2019.
[24]. Saraswathi AT, Kalaashri.Y.RA and Dr.S.Padmavathi, "Dynamic Resource Allocation Scheme in Cloud Computing", Procedia
Computer Science, Vol. 47, Pp. 30–36, 2015.
[25]. Arwa Mohamed, Mosab Hamdan, Suleman Khan, Ahmed Abdelaziz, Sharief F. Babiker, Muhammad Imran and M.N. Marsono,
"Software-defined networks for resource allocation in cloud computing: A survey", Computer Networks, Vol.195, No. 108151,
2022.
[26]. Essam H.Houssein, Bahaa El-dinHelmy, HegazyRezk and Ahmed M.Nassef, "An enhanced Archimedes optimization algorithm
based on Local escaping operator and Orthogonal learning for PEM fuel cell parameter identification", Engineering Applications
of Artificial Intelligence, Vol. 103, No. 104309, 2021.
[27]. Gaurav Dhiman and Vijay Kumar, "Seagull optimization algorithm: Theory and its applications for large-scale industrial
engineering problems", Knowledge-Based Systems, Vol. 165, Pp. 169-196, 2019.