Main Article Content

Kyrylo Rukkas
Galyna Zholtkevych


The subject of the article’s research is the CAP-guarantees of distributed datastore. The goal is to evolve decision-making algorithm for the distributed datastore architecture design which will balance CAP-guarantees depending on business requirements. To achieve that the following problems were solved in the paper: the stochastic model to evaluate different components of CAP-characteristics and some metrics that will impact on these values were developed. To solve these problems the following methods were used: basics from graph theory and probability theory, general formulas of expected value and automaton models and software application for calculation of developed formulas. The capability to measure such metrics resulted in to forming some constitutes of decision-making algorithm. Conclusions: the developed components of decision-making algorithm were the purpose of this paper and it could be one of basic components on the design distributed datastores stage, so that architects who build new software design may also use the algorithm to achieve balanced guarantees of distributed system reliability at the earlier stage of business needs implementation.

Article Details

How to Cite
Rukkas, K., & Zholtkevych, G. (2020). PROBABILISTIC MODEL FOR ESTIMATION OF CAP-GUARANTEES FOR DISTRIBUTED DATASTORE. Advanced Information Systems, 4(2), 47–50.
Information systems modeling
Author Biographies

Kyrylo Rukkas, Karazin Kharkiv National University, Kharkiv

Doctor of technical sciences, assistant professor

Galyna Zholtkevych, a private entrepreneur, Kharkiv

Researcher, Software Engineer


Kuhlenkamp, J., Klems, M. and Röss, O. (2014), “Benchmarking scalability and elasticity of distributed database systems”, Proceedings of the VLDB Endowment, Vol. 7(12), pp. 1219-1230, DOI:

Gupta, S., Saroha K. (2011), “Fundamental Research of Distributed Database”, IJSMS, 11.

Brewer, E. (2000), “Towards robust distributed systems (abstract)”, Proceedings of the nineteenth annual ACM symposium on Principles of distributed computing - PODC '00, DOI:

Gilbert, S. and Lynch, N. (2002), “Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services”, ACM SIGACT News, Vol. 33(2), p. 51, DOI:

Brewer, E. (2012), “CAP twelve years later: How the "rules" have changed”, Computer, Vol. 45(2), pp. 23-29, DOI:

Gilbert, S. and Lynch, N. (2012), “Perspectives on the CAP Theorem”, Computer, Vol. 45(2), pp. 30-36, DOI:

Kleppmann, M. (2015), “A Critique of the CAP Theorem”, ArXiv, 1509.05393v2, DOI:

Banothu, N., Bhukya, S. and Sharma, K. (2016), “Big-data: Acid versus base for database transactions”, 2016 International Conference ICEEOT, DOI:

Bailis, P. and Ghodsi, A. (2013), “Eventual consistency today: limitations, extensions, and beyond”, Communications of the ACM, Vol. 56(5), p. 55, DOI:

Calder, B. (2011), “Windows Azure Storage: a highly available cloud storage service with strong consistency”, Proc.of the Twenty-Third ACM SOSP '11, DOI:

Kumalakov, B. and Bakibayev, T. (2017), “Distributed Data Store Architecture Towards Colonial Data Replication”, 2017 IEEE 11th Int. Conf. on Application of Inf. and Comm. Techn. (AICT), DOI:

Diestel, R. (2016), Graph theory, Heidelberg: Springer-Verlag, pp. 5-6, DOI:

Burmester, M., Le, T. and Yasinsac, A. (2007), Adaptive gossip protocols: Managing security and redundancy in dense ad hoc networks, Ad Hoc Networks, Vol. 5(3), pp. 313-323, DOI:

Haas, Z., Halpern, J. and Li Li (2002), “Gossip-based ad hoc routing”, Proceedings. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societiesm, 3, pp.1707-1716.

Gut, A. (2012), Probability, Springer, New York, NY: p.17.

Ross, S. (2007), Introduction to probability models, 9th ed. Amsterdam: Elsevier/Academic Press.

Olifer, N. and Olifer, V. (2010), Computer networks, Willy India, New Delhi.

Rukkas, K. and Zholtkevych, G. (2015), “Distributed Datastores: Towards Probabilistic Approach for Estimation of Dependability”, 11th Int. Conference on ICT in Education, Research, and Industrial Applications, 1356, pp.523-534.