Modelling and simulation of ElasticSearch using CloudSim
| Autor: | Sergej Svorobej, Patricia Takako Endo, James M. Byrne, Manuel Noya Mario, Malika Bendechache, Theo Lynn, M. Eduardo Ares |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Information storage and retrieval systems
020203 distributed computing Computer science business.industry Distributed computing ElasticSearch CloudSim Cloud Workload Query Modelling search engine Search engine indexing Response time 020206 networking & telecommunications Cloud computing 02 engineering and technology Computer simulation Search-oriented architecture Resource (project management) Scalability 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | Bendechache, Malika ORCID: 0000-0003-0069-1860 DS-RT |
| Popis: | Simulation can be a powerful technique for evaluating the performance of large-scale cloud computing services in a relatively low cost, low risk and time-sensitive manner. Large-scale data indexing, distribution and management is complex to analyse in a timely manner. In this paper, we extend the CloudSim cloud simulation framework to model and simulate a distributed search engine architecture and its workload characteristics. To test the simulation framework, we develop a model based on a real-world ElasticSearch deployment on Linknovate.com. An experimental evaluation of the framework, comparing simulated and actual query response time, precision and resource utilisation, suggests that the proposed framework is capable of predicting performance at different scales in a precise, accurate and efficient manner. The results can assist ElasticSearch users to manage their scalability and infrastructure requirements. |
| Databáze: | OpenAIRE |
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