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Dr. Olivia Das

Olivia Das
Associate Professor
BSc, MSc, PhD, PEng
416-979-5000 ext. 6114

Areas of Academic Interest

Performance and dependability evaluation of distributed software systems

Systems including Cloud, Mobile Cloud, Big Data and Internet of Things (IoT)

Evaluation through measurements, analytical models, simulation and machine learning techniques

Resource management

Software performance engineering


University Degree
Carleton University PhD
Carleton University MSc
University of Calcutta MSc
University of Calcutta BSc

Courses Taught

Course Code Course
BME 506 Introduction to Software
COE 528 Object-Oriented Engineering Analysis and Design
EE8214 Computer Systems Modelling


Engineers move technology forward, ever improving the devices and systems on which society relies so heavily. Olivia Das is no exception to the rule. While her early post-secondary education was in applied mathematics, Das ultimately landed in computer engineering. The shift began during her master’s studies, with her first introduction to programming.

Today, Das applies her mathematical background to queuing theory and stochastic processes. “My research focuses on managing, measuring and modelling the performance and dependability of distributed systems,” says Das. “Both of these qualities are important not only for web but also for software applications.”

Das and her team of student researchers are working hard to make loading errors and lags a thing of the past. As systems continue to shift toward cloud computing, proper provisioning of backend servers has become increasingly essential. “We use mobile applications every day, and we want them to respond quickly and reliably.”

Olivia Das

“My classroom is interactive. That’s the best way to learn.”

  • Teaching Excellence Award, Electrical and Computer Engineering, Ryerson University (2011)
  • Visiting Faculty, Indian Institute of Technology-Kanpur (2012), International Institute of Information Technology-Hyderabad (2012)
  • I. Sheikh and O. Das: Modeling the Effect of Parallel Execution on Multi-site Computation Offloading in Mobile Cloud Computing. European Workshop on Performance Engineering (EPEW 2018), Paris, France, October 2018, pp. 219-234.
  • G. Zamani and O. Das. Impact of a Fault Management Architecture on the Performance of a Component-based System. European Dependable Computing Conference (EDCC 2017), Geneva, Switzerland, September 2017, pp. 87-94.
  • O. Das, A. Das: Estimating Response Time Percentiles of Cloud-based Tiered Web Applications in presence of VM failures. 12th International ACM SIGSOFT Conference on the Quality of Software Architectures (QoSA 2016), Venice, Italy, April 2016, pp. 1-10.
  • Y. Shoaib and O. Das: Web Application Performance Modeling Using Layered Queueing Networks. Electronic Notes in Theoretical Computer Science, Elsevier, 275, 2011, pp. 123-142.
  • G. Franks, T. Al-Omari, M. Woodside, O. Das, and S. Derisavi: Enhanced modeling and solution of layered queueing networks. IEEE Transactions on Software Engineering, 35(2), 2009, pp.148-161.
  • Dependable Adaptive Systems Group (DAS)
  • Member, Professional Engineers Ontario (PEO)
  • Member, IEEE