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ReRoute: A Consistent Serverless Map Application Running Near Users for Lower Latencies

datacite.rightsrestricted
dc.contributor.advisorLloyd, Wyatt A.
dc.contributor.authorWang, Donna
dc.date.accessioned2026-01-05T22:22:06Z
dc.date.available2026-01-05T22:22:06Z
dc.date.issued2025
dc.description.abstractMap applications, which require low-latency responses for a seamless user global experience are well-suited for cloud deployment. However, their stateful nature and the need for strong consistency present significant challenges in fully leveraging the low-latency advantages of running computations at edge locations, or data centers near users. To overcome these limitations, we introduce ReRoute, a serverless, cloud-based map application that integrates Radical, a system designed to preserve consistency guarantees from primary data centers while enabling reduced latencies at edge locations. Our evaluation demonstrates that integrating with Radical substantially lowers median end-to-end latency, particularly for clients near edge locations, highlighting its potential to enhance the performance of map applications.
dc.identifier.urihttps://theses-dissertations.princeton.edu/handle/88435/dsp01q811kp10b
dc.language.isoen_US
dc.titleReRoute: A Consistent Serverless Map Application Running Near Users for Lower Latencies
dc.typePrinceton University Senior Theses
dspace.entity.typePublication
dspace.workflow.startDateTime2025-12-15T15:26:17.912Z
pu.contributor.authorid920253258
pu.date.classyear2025
pu.departmentComputer Science

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