Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees
Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, Chengzhong Xu
Abstract
A common approach to improving resource utilization in data centers is to adaptively provision resources based on the actual workload. One fundamental challenge of doing this in microservice management frameworks, however, is that different components of a service can exhibit significant differences in their impact on end-to-end performance. To make resource management more challenging, a single microservice can be shared by multiple online services that have diverse workload patterns and SLA requirements.
Topics & Concepts
MicroservicesWorkloadComputer scienceService-level agreementResource management (computing)Resource (disambiguation)Service (business)Shared resourceDistributed computingComputer networkQuality of serviceOperating systemCloud computingBusinessMarketingCloud Computing and Resource ManagementSoftware System Performance and ReliabilityIoT and Edge/Fog Computing