Description
- Abstract:
- Queuing systems are one of the most prominent technological evolution in today's digital world. Data centers and cloud networks operated by large companies like Microsoft, Google and Amazon rely on large-scale queuing systems for their operations. The goal of minimizing energy consumption while optimizing performance has been the focus of recent literature around the subject. In this thesis, we consider the TABS scheme and investigate through simulations and a theoretical proof the implications of various parameters of the scheme on a variant of the decentralized parallel queuing system. Simulation results explore how changing the assumption of exponential service time distributions affects various performance metrics. Our theoretical result builds on previous results in order to identify patterns in fluctuations around mean behaviour of the system over long time intervals.
- Notes:
- Senior thesis (ScB)--Brown University, 2019
- Concentration: Applied Mathematics and Economics
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Citation
Chandak, Rajita,
"Energy-aware optimization of scalable load balancing strategies"
(2019).
Applied Mathematics Theses and Dissertations.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/jjv6-az91
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Applied Mathematics Theses and Dissertations
Theses and Dissertations for the Applied Mathematics department....