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Fragility Risks of Low Latency Dynamic Queuing in Large-Scale Clouds: Complex System Perspective

Published

Author(s)

Vladimir V. Marbukh

Abstract

Economic, reliability, and low latency benefits of cloud computing model are the result of high level of dynamic resource sharing, made possible by high degree of system interconnectivity. This paper suggests more nuanced view of the effect of interconnectivity and resource sharing since interconnectivity may contribute to system fragility, which is associated with a possibility of abrupt/discontinuous system transition to persistent overloaded regime with unacceptably high delays. This possibility is a result of the same system interconnectivity, which enables not only desirable but also undesirable load transfer throughout the networked system. Our results indicate that benefits of dynamic queuing disciplines, including low latency, can be realized provided that the relevant systemic risks of undesirable contagion are eliminated or mitigated. Due to intractability of conventional performance models of large-scale interconnected systems, we use the “Complex Systems” methodology, e.g., mean-field approximate performance model.
Proceedings Title
IFIP Networking 2017
Conference Dates
June 12-17, 2017
Conference Location
Stockholm

Keywords

cloud computing model, dynamic queuing, low latency, fragility.

Citation

Marbukh, V. (2018), Fragility Risks of Low Latency Dynamic Queuing in Large-Scale Clouds: Complex System Perspective, IFIP Networking 2017, Stockholm, -1, [online], https://doi.org/10.23919/IFIPNetworking.2017.8264884 (Accessed June 15, 2024)

Issues

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Created January 23, 2018, Updated May 14, 2020