College of Graduate Studies: Theses & Dissertations
Term of Award
Spring 2026
Degree Name
Master of Science, Computer Science (M.S.C.S.)
Document Type and Release Option
Thesis (open access)
Copyright Statement / License for Reuse

This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Department of Computer Science
Committee Chair
Andrew Allen
Committee Member 1
Ryan Florin
Committee Member 2
Haniph Latchman
Abstract
Distributed industrial control systems often place control and telemetry traffic on the same communication substrate even though the two workloads impose different requirements. Control paths need bounded request-response latency and predictable acknowledgement semantics, whereas telemetry paths benefit from scalable publish-subscribe fanout and tolerance for consumer-side delay. This thesis argues that, for the tested class of mixed workloads on shared commodity infrastructure, these communication roles should be separated architecturally rather than forced through a single protocol. To evaluate that claim, the thesis formalizes an asymmetric control- telemetry pattern and instantiates it in the Asymtra framework using gRPC for synchronous control and MQTT for asynchronous telemetry on a VLAN-segmented Raspberry Pi cluster. Across 108 experimental runs, the asymmetric design maintained the stated control-path service level objective, while the evaluated symmetric designs failed to meet the control-path SLO beyond minimal scale. The contribution is therefore twofold: a formal characterization of a recurring industrial pattern and empirical evidence that, within the tested scope, separation of control and telemetry semantics is required to satisfy divergent service level objectives.
OCLC Number
1592136432
Catalog Permalink
https://galileo-georgiasouthern.primo.exlibrisgroup.com/permalink/01GALI_GASOUTH/c9nn09/alma9916661243902950
Recommended Citation
Manison, Andrew. "Formalizing Asymmetric Control-Telemetry Separation in Distributed Industrial Control Systems." M.S. thesis, Georgia Southern University, 2025.
Research Data and Supplementary Material
No
Included in
Computer and Systems Architecture Commons, Controls and Control Theory Commons, Digital Communications and Networking Commons