Litcius/Paper detail

The power of prediction

Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Guodong Yang, Chengzhong Xu

202276 citationsDOI

Abstract

When deploying microservices in production clusters, it is critical to automatically scale containers to improve cluster utilization and ensure service level agreements (SLA). Although reactive scaling approaches work well for monolithic architectures, they are not necessarily suitable for microservice frameworks due to the long delay caused by complex microservice call chains. In contrast, existing proactive approaches leverage end-to-end performance prediction for scaling, but cannot effectively handle microservice multiplexing and dynamic microservice dependencies.

Topics & Concepts

MicroservicesLeverage (statistics)Computer scienceScalingDistributed computingMultiplexingService (business)Operating systemCloud computingArtificial intelligenceTelecommunicationsGeometryMathematicsEconomicsEconomySoftware System Performance and ReliabilityCloud Computing and Resource ManagementIoT and Edge/Fog Computing
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