A Comparison of Fair Sharing Algorithms for Regulating Search as a Service API





Fair Sharing, Deficit Round-Robin, Max-Min Fairness, Token-bucket


Providers of a Search as a Service (SaaS) environment must ensure that their users will not monopolize the service or use more than their fair share of resources. Fair sharing algorithms have long been used in computer networking to balance access to a router or switch, and some of these algorithms have also been applied to the control of queries submitted to search engine APIs. If a search query’s execution cost can be reliably estimated, fair sharing algorithms can be applied to the input of a SaaS API to ensure everyone has equitable access to the search engine.

The novelty of this paper lies in presenting a Single-Server Max-Min Fair Deficit Round Robin algorithm, a modified version of the Multi-Server Max-Min Fair Deficit Round Robin algorithm. The Single-Server Max-Min Fair Deficit Round Robin algorithm is compared to three other fair sharing algorithms, token-bucket, Deficit Round Robin (DRR), and Peng and Plale’s [1] Modified Deficit Round Robin (MDRR) in terms of three different usage scenarios, balanced usage, unbalanced usage as well as an idle client usage, to determine which is the most suitable fair sharing algorithm for use in regulating traffic to a SaaS API. This research demonstrated that the Single-Server Max-Min Fair DRR algorithm provided the highest throughput of traffic to the search engine while also maintaining a fair balance of resources among clients by re-allocating unused throughput to clients with saturated queues so a max-min allocation was achieved.

Author Biographies

Dr Sikha Bagui, University of West Florida

Dr. Sikha Bagui is Professor and Askew Fellow in the Department of Computer Science, at The University West Florida, Pensacola, Florida. Dr. Bagui is active in publishing peer reviewed journal articles in the areas of database design, data mining, BigData and Big Data analytics, and machine learning. Dr. Bagui has worked on funded as well unfunded research projects and has over 70 peer reviewed publications. She has also co-authored several books on database and SQL. Bagui also serves as Associate Editor and is on the editorial board of several journals.

Evorell, University of West Florida

Dr. Evorell Fridge is a web applications engineer and adjunct instructor in The Department of Computer Science at the University of West Florida in Pensacola, Florida. He enjoys introducing students to full-stack software development and researching topics in information retrieval and big data.


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How to Cite

Bagui, S., & Fridge, E. (2021). A Comparison of Fair Sharing Algorithms for Regulating Search as a Service API. Discoveries in Agriculture and Food Sciences, 10(1), 13–31. https://doi.org/10.14738/tnc.101.9633