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Title: Defense strategies and expected capacity of high performance computing infrastructures

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.

Authors:
ORCiD logo [1]; ORCiD logo [1];  [2];  [3]
  1. ORNL
  2. Hang Seng Management College, Hong Kong
  3. Texas A&M University, Kingsville, TX, USA
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1509528
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: 20th International Conference on Distributed Computing and Networking (ICDCN 2019) - Bangalore, , India - 1/4/2019 5:00:00 AM-4/7/2019 4:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Rao, Nageswara S., Imam, Neena, Ma, Chris Y. T., and He, Fei. Defense strategies and expected capacity of high performance computing infrastructures. United States: N. p., 2019. Web. doi:10.1145/3288599.3288625.
Rao, Nageswara S., Imam, Neena, Ma, Chris Y. T., & He, Fei. Defense strategies and expected capacity of high performance computing infrastructures. United States. doi:10.1145/3288599.3288625.
Rao, Nageswara S., Imam, Neena, Ma, Chris Y. T., and He, Fei. Tue . "Defense strategies and expected capacity of high performance computing infrastructures". United States. doi:10.1145/3288599.3288625. https://www.osti.gov/servlets/purl/1509528.
@article{osti_1509528,
title = {Defense strategies and expected capacity of high performance computing infrastructures},
author = {Rao, Nageswara S. and Imam, Neena and Ma, Chris Y. T. and He, Fei},
abstractNote = {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.},
doi = {10.1145/3288599.3288625},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

Conference:
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