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Congestion Control with Service Mesh for Edge Cloud Traffic
KTH, School of Electrical Engineering and Computer Science (EECS).
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
Nätverksstockningkontroll med Service Mesh för Edge Cloud Trafik (Swedish)
Abstract [en]

The Mobile Edge Cloud aims to expand the cloud network by making it distributed and closer to the end user. However, traffic management becomes a complex and unresolved problem, because the edge cloud needs to consider multiple locations with different computational resources. This thesis contributes to the solution of this problem by attempting to align cloud and mobile network technology domains, by using the mechanism of Quality of Service assurance from the mobile network to improve the cloud performance, as well as tools like the Service Mesh, which comes from the central cloud. In this thesis, we aim to extend the implementation of the Service Mesh, using the concept of Quality of Service, and provide optimized congestion control for applications hosted in a mobile edge cloud. For this, we design, implement, and evaluate two heuristic-based controllers that act upon the Service Mesh, using resource and traffic metrics to limit the rate of requests based on their priority. The first controller is called Continuous Rate Limiting, where the rate limit configuration remains the same if there is no more congestion, and the second one is called Conditional Rate Limiting, where the controller resets the rate limit configuration if there is no congestion after a certain amount of time. Our research concludes that both controllers reduce resource consumption and response time under a congestion scenario. For instance, the resource consumption decreases down to 18.25% when the Continuous Rate Limiting controller is implemented. The average response time also is reduced down to 44.96% with the same controller. All these results are obtained using the same traffic traces, hence future research is needed for further validation of this thesis. Future research can also use this thesis as a starting point for more advanced traffic management strategies for mobile edge cloud.

Abstract [sv]

Mobile Edge Cloud bygger ut molnnätverket närmare slutanvändare genom att distribuera molnresursers. Hantering av data som förs över fler enheter i olika platser skapar ett komplex och olöst problem. Den här avhandling bidrar till lösningen av detta problem, genom att använda mekanismen såsom “Quality of Service” för att säkra kvalitet av tjänsten från det mobila nätverket samt förbättra molnets prestanda, och verktyget som “Service Mesh”, som kommer från den centrala moln. I denna avhandling, vi utvidgar implementeraring av Service Mesh i samarbete med Quality of Service. Vi designar, implementerar och utvärderar vi två heuristikbaserade regulator som agerar på Service Mesh. Den första regulatorn kallas “Continuous Rate Limiting”, där hastighetsgränskonfigurationen förblir densamma om det inte finns någon trängsel, och den andra kallas “Conditional Rate Limiting”, där regulatorn återställer hastighetsgränskonfigurationen om det inte finns någon trängsel efter en viss tid. Sammafattningvis, både regulatorna minskar resursförbrukningen och svarstiden under ett överbelastningsscenario. När “Continuous Rate Limiting” regulatorn implementeras resursförbrukningen reducerar ner till 18, 25% och svarstiden reducerar ner till 44, 96%. Alla dessa resultat erhålls med samma trafikspår, därför behövs framtida forskning för ytterligare validering av denna avhandling. Framtida forskning kan också använda denna avhandling som en utgångspunkt för mer avancerade trafikhanteringsstrategier för Mobile Edge Cloud.

Place, publisher, year, edition, pages
2022. , p. 59
Series
TRITA-EECS-EX ; 2022:891
Keywords [en]
5G Networks, Mobile Edge Cloud, Service Mesh, Quality of Service, Traffic Management, Congestion control, Rate limiting
Keywords [sv]
5G Networks, Mobile Edge Cloud, Service Mesh, Quality of Service, Traffic Management, Congestion control, Rate limiting
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-324023OAI: oai:DiVA.org:kth-324023DiVA, id: diva2:1737839
External cooperation
Ericsson
Educational program
Master of Science - Information and Network Engineering
Supervisors
Examiners
Available from: 2023-03-20 Created: 2023-02-18 Last updated: 2023-03-20Bibliographically approved

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