Defense strategies and expected capacity of high performance computing infrastructures

Nageswara S.V. Rao; Chris Y.T. Ma; Neena Imam; Fei He

doi:10.1145/3288599.3288625

Defense strategies and expected capacity of high performance computing infrastructures

Nageswara S.V. Rao, Chris Y.T. Ma, Neena Imam, Fei He

Autonomous and Complex Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

We consider high performance computing infrastructures consisting of multiple sites connected over a wide-area network. These sites house heterogeneous computing systems, network elements and local-area connections, and the wide-area network plays a critical, asymmetric role of providing the vital connectivity between them. We model this infrastructure as a recursive system of systems, wherein the basic systems at the finest levels are composed of discrete cyber and physical components. These components may be disabled by cyber and physical disruptions, and their reinforcements protect against them albeit at a cost. We utilize results from a game formulation based on (i) characterizing the disruptions between systems at each level of recursion using aggregate failure correlation functions, and within basic systems using the multiplier functions, and (ii) using utility functions expressed in terms of the number of basic system components attacked and reinforced. At Nash Equilibrium, we derive expressions for the expected capacity of the infrastructure given by the number of computing nodes that are operational and connected to the network.

Original language	English
Title of host publication	ICDCN 2019 - Proceedings of the 2019 International Conference on Distributed Computing and Networking
Publisher	Association for Computing Machinery
Pages	143-147
Number of pages	5
ISBN (Electronic)	9781450360944
DOIs	https://doi.org/10.1145/3288599.3288625
State	Published - Jan 4 2019
Event	20th International Conference on Distributed Computing and Networking, ICDCN 2019 - Bangalore, India Duration: Jan 4 2019 → Jan 7 2019

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	20th International Conference on Distributed Computing and Networking, ICDCN 2019
Country/Territory	India
City	Bangalore
Period	01/4/19 → 01/7/19

Funding

This work is funded by the Mathematics of Complex, Distributed, Interconnected Systems Program and RAMSES project, Office of Advanced Computing Research, U.S. Department of Energy, and by Extreme Scale Systems Center, sponsored by U. S. Department of Defense, and performed at Oak Ridge National Laboratory managed by UT-Battelle, LLC for U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Keywords

Aggregated correlation function
Composite utility functions
Game theory
High performance computing infrastructure
Nash Equilibrium
Networked systems

Access to Document

10.1145/3288599.3288625

Cite this

Rao, N. S. V., Ma, C. Y. T., Imam, N., & He, F. (2019). Defense strategies and expected capacity of high performance computing infrastructures. In ICDCN 2019 - Proceedings of the 2019 International Conference on Distributed Computing and Networking (pp. 143-147). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3288599.3288625

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abstract = "We consider high performance computing infrastructures consisting of multiple sites connected over a wide-area network. These sites house heterogeneous computing systems, network elements and local-area connections, and the wide-area network plays a critical, asymmetric role of providing the vital connectivity between them. We model this infrastructure as a recursive system of systems, wherein the basic systems at the finest levels are composed of discrete cyber and physical components. These components may be disabled by cyber and physical disruptions, and their reinforcements protect against them albeit at a cost. We utilize results from a game formulation based on (i) characterizing the disruptions between systems at each level of recursion using aggregate failure correlation functions, and within basic systems using the multiplier functions, and (ii) using utility functions expressed in terms of the number of basic system components attacked and reinforced. At Nash Equilibrium, we derive expressions for the expected capacity of the infrastructure given by the number of computing nodes that are operational and connected to the network.",

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author = "Rao, {Nageswara S.V.} and Ma, {Chris Y.T.} and Neena Imam and Fei He",

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Rao, NSV, Ma, CYT, Imam, N & He, F 2019, Defense strategies and expected capacity of high performance computing infrastructures. in ICDCN 2019 - Proceedings of the 2019 International Conference on Distributed Computing and Networking. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 143-147, 20th International Conference on Distributed Computing and Networking, ICDCN 2019, Bangalore, India, 01/4/19. https://doi.org/10.1145/3288599.3288625

Defense strategies and expected capacity of high performance computing infrastructures. / Rao, Nageswara S.V.; Ma, Chris Y.T.; Imam, Neena et al.
ICDCN 2019 - Proceedings of the 2019 International Conference on Distributed Computing and Networking. Association for Computing Machinery, 2019. p. 143-147 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - He, Fei

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N2 - We consider high performance computing infrastructures consisting of multiple sites connected over a wide-area network. These sites house heterogeneous computing systems, network elements and local-area connections, and the wide-area network plays a critical, asymmetric role of providing the vital connectivity between them. We model this infrastructure as a recursive system of systems, wherein the basic systems at the finest levels are composed of discrete cyber and physical components. These components may be disabled by cyber and physical disruptions, and their reinforcements protect against them albeit at a cost. We utilize results from a game formulation based on (i) characterizing the disruptions between systems at each level of recursion using aggregate failure correlation functions, and within basic systems using the multiplier functions, and (ii) using utility functions expressed in terms of the number of basic system components attacked and reinforced. At Nash Equilibrium, we derive expressions for the expected capacity of the infrastructure given by the number of computing nodes that are operational and connected to the network.

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Defense strategies and expected capacity of high performance computing infrastructures

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Keywords

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