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2022hpcsummer-deadlock's Introduction

Demonstration of Deadlock in SST

Structural Simulation Toolkit (SST) is a Discrete Event Simulation (DES) framework written in C++ and Python. Although SST has historically focused on simulation of High Performance Computing, the DES framework can be used in other scenarios.

In this repo, deadlock is modeled using SST.

This demonstration of deadlock relies only on SST-Core

Objectives

  • literature search for instances of this problem
  • identify underlying mathematical or logical conditions that trigger this problem in distributed systems
  • identify minimum features for C++ components needed to create this problem
  • identify minimum size of graph (links, components) to observe the issue
  • identify metrics needed to identify the existence of the problem
  • measure the metrics and demonstrate the detection of the problem
  • use the metrics to identify the problem at various scales (e.g., 10 nodes, 100 nodes, 1000 nodes)

Context

The intended audience for this documentation has basic familiar with use of SST, C++, Python, Makefiles.

Documentation should explain how the concept of deadlock is mapped to the SST model.

Literature Review

"Deadlock Detection in Distributed Systems"

Ajay Kshemkalyani and Mukesh Singhal
https://www.cs.uic.edu/~ajayk/Chapter10.pdf

"Distributed Deadlock Detection Algorithm"

R. Obermarck
https://personal.utdallas.edu/~praba/obermarck.pdf

A Survey Of Distributed Deadlock Detection Algorithms

https://dl.acm.org/doi/pdf/10.1145/15833.15837

Distributed Deadlock Detection

https://dl.acm.org/doi/pdf/10.1145/357360.357365

http://www.inf.ufsc.br/~frank.siqueira/BDD/Artigos/A%20One-Phase%20Algorithm%20to%20Detect%20Distributed%20Deadlocks%20in%20Replicated%20Databases.pdf

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