{"references": ["Kamboj, Sheenam and Navtej Ghumman. \"A survey on cloud computing and its types.\" 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom):2917-2974.", "S. M. Parikh, \"A survey on cloud computing resource allocation techniques,\" 2013 Nirma University International Conference on Engineering (NUiCONE), Ahmedabad, 2013", "Antony Thomas, G. Krishnalal, V.P. Jagathy Raj, Credit Based Scheduling Algorithm in Cloud Computing Environment, In Procedia Computer Science, Volume 46, 2015, Pages 913-920, ISSN 1877-0509", "A.T. Saraswathi, Y.R.A. Kalaashri, S. Padmavathi, Dynamic Resource Allocation Scheme in Cloud Computing, In Procedia Computer Science, Volume 47, 2015, Pages 30-36, ISSN 1877-0509", "Marwah Hashim Eawna, Salma Hamdy Mohammed, El-Sayed M. El-Horbaty, Hybrid Algorithm for Resource Provisioning of Multi-tier Cloud Computing, In Procedia Computer Science, Volume 65, 2015, Pages 682-690, ISSN 1877-0509", "Lixia Liu, Hong Mei, and Bing Xie. 2016. Towards a multi-QoS human-centric cloud computing load balance resource allocation method. J. Supercomput. 72, 7 (July 2016), 2488-2501.", "Hwa Min Lee, Young-Sik Jeong, and Haeng Jin Jang. 2014. Performance analysisbased resource allocation for green cloud computing. J. Supercomput. 69, 3 (September 2014), 1013-1026.", "Narander Kumar, Swati Saxena, A Preference-based Resource Allocation in Cloud Computing Systems, In Procedia Computer Science, Volume 57, 2015, Pages 104-111, ISSN 1877-0509.", "Chandrashekhar S. Pawar and Rajnikant B. Wagh. 2012. Priority Based Dynamic Resource Allocation in Cloud Computing. In Proceedings of the 2012 International Symposium on Cloud and Services Computing (ISCOS '12). IEEE Computer Society, Washington, DC, USA, 1-6.", "Pandaba Pradhan, Prafulla Ku. Behera, B.N.B. Ray, Modified Round Robin Algorithm for Resource Allocation in Cloud Computing, In Procedia Computer Science, Volume 85, 2016, Pages 878-890, ISSN 1877-0509.", "Weiwei Lin, James Z. Wang, Chen Liang, Deyu Qi, A Threshold-based Dynamic Resource Allocation Scheme for Cloud Computing, In Procedia Engineering, Volume 23, 2011, Pages 695-703, ISSN 1877-7058.", "Mohammad Mehedi Hassan, Atif Alamri, Virtual Machine Resource Allocation for Multimedia Cloud: A Nash Bargaining Approach, In Procedia Computer Science, Volume 34, 2014, Pages 571-576, ISSN 1877-0509.", "N. Kumar Pandey, S. Chaudhary and N. K. Joshi, \"Resource allocation strategies used in cloud computing: A critical analysis,\" 2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS), Mathura, 2016, pp. 213-216."]}

In a world where technology advances at a breakneck pace, the cloud computing industry has made a significant contribution to customer loyalty in a real-time environment. Cloud computing has resulted in a significant decrease in storage costs as well as more effective data collection and retrieval. Consumers with cloud providers make requests for a variety of services depending on their ever-changing needs. Due to a scarcity of services, providing all of the requested resources is difficult. Cloud service providers must ensure that their offerings are delivered in such a way that they satisfy the demands of their customers while still making effective use of resources. As a result, resource distribution is extremely important. This paper primarily focuses on emerging resource distribution methods, as well as comparisons and summaries of those techniques.