CS Other Presentations
Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):RSS Directions
Presentations Coordinator: Demetris Zeinalipour
PhD Defense: Emulating Data-intensive IoT Applications across the Edge Continuum, Moysis Symeonides (University of Cyprus, Cyprus), Monday, December 19, 2022, 10:00-11:00 EET.
The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:
Emulating Data-intensive IoT Applications across the Edge Continuum
Speaker: Moysis Symeonides
Edge Computing and 5th generation (5G) mobile networks are emerging as the dominating paradigms bridging the compute and connectivity gap between IoT sensing devices and latency-sensitive services. However, experimenting and evaluating IoT services is a daunting task involving the manual configuration and deployment of a mixture of geo-distributed physical and virtual infrastructure with different resource and network properties. This results in sub-optimal, costly, and error-prone deployments due to numerous unexpected overheads not initially envisioned in the design phase and underwhelming conditions not resembling the end environment. To tackle these challenges, this thesis introduces an open-source emulation framework that offers: (i) modeling abstractions for the respective deployment paradigm comprising of heterogeneous Edge/Fog/Cloud compute resources, virtualized networks along with their QoS criteria, and VNFs, IoT application services, and data generators; (ii) primitives for 5G infrastructure components such as radio units, Edge servers, mobile user equipment, along with their geo-positions and trajectories; (iii) an execution environment that enables the deployment of model specification locally or on Cloud infrastructures. The system allocates resources as isolated containerized processes, provisions network connectivity among entities, configures the infrastructure based on the modeled description accordingly, and deploys enablers for runtime assessment, emulating the direct behavior of an actual Edge Continuum environment; (iv) experimentation, monitoring, and evaluation methodology of the deployment by injecting faults, adapting the configuration at runtime, real-time updates of the radio network (i.e., signal strength) and respective network QoS to test different ``what-if" scenarios that reveal the limitations of service before introduced to the public. Our evaluation highlights that the deviation between real and emulated Edge deployments is about 3-8\%, while exploitation of real-world 5G data shows that the emulator presents, at most, an 11.7\% deviation when comparing actual and emulated network QoS.
Moysis Symeonides is a Ph.D. candidate at the Department of Computer Science under the supervision of Marios Dikaiakos and George Pallis. He is a member of the Laboratory for Internet Computing (LInC). His research focuses on Edge Computing and Internet of Things applications with an emphasis on Edge Computing and 5G infrastructures modeling, emulation, experimentation, and performance evaluation. He holds a Master's degree in Information Systems from the Aristotle University of Thessaloniki and a Bachelor’s degree in Computer Science and Biomedical Informatics from the University of Thessaly. From 2014, he worked as a researcher in many EU projects (PasSPort FP7 EU project, Unicorn H2020, RAINBOW H2020) and tech-oriented companies. His work has been published in IEEE/ACM conferences such as SEC, IoTDI, ISCC, UCC, and IC2E.
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