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A Decentralized Mechanism for Discovering Runtime Architectural Models of Large Dynamic Distributed Systems

Jason Porter, George Mason University

  • Computer Science Seminar
  • Colloquium
When Mon, Feb 26, 2018
from 03:10 PM to 04:00 PM
Where Ritter Hall 115
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Runtime models play a critical role in modern self-adaptive systems. Hence, runtime
architectural models are needed when making adaptation decisions in architecture-based
self-adaptive systems. However, when these systems are distributed and highly dynamic,
there is an added need to discover the system's software architecture model at runtime.
Current methods of runtime architecture discovery use a centralized approach, in which the
process is carried out from a single location. These methods are inadequate for large distributed systems because they do not scale up well and have a single point of failure. Also,
systems of such size consist of nodes that are typically highly dynamic in nature. Existing
approaches to architecture discovery are not capable of addressing these concerns. This research describes DeSARM (Decentralized Software Architecture discoveRy Mechanism),
a completely decentralized and automated approach for runtime discovery of software architecture models of distributed systems based on gossiping and message tracing. DeSARM
is able to identify at runtime important architectural characteristics such as components and connectors, in addition to synchronous and asynchronous communication patterns. Furthermore, through its use of gossiping, it exhibits the properties of scalability, global
consistency among participating nodes, and resiliency to failures.
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