A-Cache: Resolving cache interference for distributed storage with mixed workloads

Argus: A Multi-tenancy NoSQL store with workload-aware resource reservation

“…Argus differs in that it identifies cache and disk usage, and dynamically adjusts the reservation on both resources according to workload resource demands. In our analysis, both the throughput regulation [6,7] and the cache partition approach [5] fail to prevent interference in cases where tenants' workloads have different resource demands. The open source community is addressing performance isolation for multi-tenancy in HBase [16,17] , though the work is still in progress as of submission of this manuscript, and not yet merged to the trunk yet [17] .…”

“…As shown repeatedly [5][6][7] , multi-tenant performance interference does exist in NoSQL stores. Results in [7] show that 1) a tenant's number of threads and data access pattern cause performance interference; 2) interference could occur in different resources e.g., cache, disk, or both.…”

“…The study in [10] shows that isolation through virtual machines (VM) yields lower performance compared to the shared process model. A majority of current research in multi-tenance [4,5,7,11,12] focuses on the shared process model which our work targets as well.…”

“…Also unlike Pisces, our approach distinguishes different resource demands from different workloads. A-Cache [5] divides the block cache space in HBase and limits a tenant's cache activities within the cache space it is assigned to resolve the cache interference among tenants. Our earlier work, Zeng et al [7] provide fair share (of throughput) in Cassandra using request scheduling and adaptive control approaches.…”

“…Other approaches to preventing performance interference simplify the scenario either by dealing with only a single resource [2][3][4][5] ( e.g. CPU, cache), or by representing consumption of multiple resources as single "virtual resource" consumption [6,7] .…”