Mako: a low-pause, high-throughput evacuating collector for memory-disaggregated datacenters
Haoran Ma, Shi Liu, Chenxi Wang, Yifan Qiao, Michael D. Bond, Stephen M. Blackburn, Miryung Kim, Guoqing Xu
Abstract
Resource disaggregation has gained much traction as an emerging datacenter architecture, as it improves resource utilization and simplifies hardware adoption. Under resource disaggregation, different types of resources (memory, CPUs, etc.) are disaggregated into dedicated servers connected by high-speed network fabrics. Memory disaggregation brings efficiency challenges to concurrent garbage collection (GC), which is widely used for latency-sensitive cloud applications, because GC and mutator threads simultaneously run and constantly compete for memory and swap resources.
Topics & Concepts
Computer scienceGarbage collectionServerGarbageLatency (audio)Cloud computingThroughputNon-volatile memoryResource (disambiguation)Swap (finance)Operating systemEmbedded systemDistributed computingComputer networkComputer hardwareWirelessTelecommunicationsEconomicsFinanceProgramming languageCloud Computing and Resource ManagementParallel Computing and Optimization TechniquesDistributed systems and fault tolerance