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Thesis : Consistency trade-offs in edge computing

PhD school thesis
So far, these trade-offs were made in an ad-hoc manner. In contrast, the aim of this thesis will be to study them in a systematic manner. The research has both a fundamental and an applied aspect and aims for practical results. There are different metadata mechanisms, such as explicit dependency (graph), vector clocks (message numbering), or hash chaining. Metadata serves a number of distinct purposes, such as: to order events (causality), to compare events (concurrency), to detect and resolve conflicts, to optimise network traffic (anti-entropy), for detecting distributed stability, etc. Trade-offs have different effects on each of these aspects, which can be measured or evaluated qualitatively.
Based on a literature search and on a study of existing systems, the PhD student will study the different facets of causal and stronger consistency, in order to isolate, classify, and formalise the trade-offs. In addition, the student will perform an experimental study (most likely in simulation) of some interesting points in the design space, along metrics such as response time, availability, propagation delay, network cost, loss of parallelism, memory and computation resources, etc.
Ultimately, the goal of the research is to design, implement and evaluate an efficient hybrid consistency model for edge-first systems.

This PhD research project has been submitted for a funding request to “Ecole Doctorale d‘Informatique, Télécommunication et d‘Electronique (EDITE)”. The PhD candidate selected by the project leader will therefore participate in the project selection process (including a file and an interview) to obtain funding.

More details here

Contact :Pierre Sens, Marc Shapiro