Olga Perl

Olga Perl
ITMO University | SPbNRU ITMO · Department of Informatics and Applied Mathematics

PhD student

About

5
Publications
995
Reads
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15
Citations
Citations since 2017
5 Research Items
15 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
Additional affiliations
January 2015 - June 2016
ITMO University
Position
  • Engineer
September 2014 - June 2016
ITMO University
Position
  • Engineer

Publications

Publications (5)
Article
In the popular field of cloud computing, millions of job requests arrive at the data centre for execution. The job of the data centre is to optimally allocate virtual machines (VMs) to these job requests in order to use resources efficiently. In the future smart cities, huge amount of job requests and data will be generated by the Internet of Thing...
Conference Paper
Full-text available
Microservices REST architecture is almost a standard for e-commerce web applications today. It brings domain isolation, development and support independence. In the same time it increases complexity of cross-domain interactions. The case when distributed changes should not break consistency of microservice states is one of challenging task that mig...
Conference Paper
Full-text available
Nowadays System Dynamics is one of the most popular modelling approaches because it provides instruments for simulation and understanding of complicated processes in a wide ranch of application domains. In consequence of this, modellers, who are working in this area, are dealing with big number of entities both, common to the modelling approach and...

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Cited By

Projects

Projects (2)
Project
Development of a correct method for representation of multi-modal data allowing to flexibly configure and implement the associated data search. Research this method and produce a model for optimization and improvement of the search.
Project
The sdCloud project is an answer to the big data processing and data access challenges facing the System Dynamics community. A high performance cloud-based environment can make working with system dynamics easier, faster and closer to the model's users. Naturally, a cloud-based solution reduces the need for users to manage local installation of various tools. However, sdCloud has potential benefits beyond its utility to those who would like to execute, translate or share their models. This is also an open platform where new tools can be deployed, thus, it should attract not only modelers, but also tool developers and thus stimulate further innovation in System Dynamics. Most recent news and updates about sdCloud project can be found at http://sdcloud.io