Workload-Aware Resource Reservation for Multi-tenant NoSQL

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

“…Interference caused by read and write operations is not uncommon in real world scenarios. As shown in [8] , for read workloads mixed with write workloads, Argus does not provide the same level of fairness and efficiency as it does in the read-only workload. Its J-index and D-score drop over 20% and 10% respectively.…”

“…We first present the micro evaluation which mainly focuses on the reservation enforcement as it is the fundamental of Argus, then describe the macro evaluation which studies the overall performance in various scenarios. Due to space limitations, we skip results which appeared earlier in [8] .…”

“…This paper extends our earlier work, [8] , in several dimensions. While the earlier work proposes a resource reservation framework and carries out a preliminary evaluation to show its effectiveness in terms of performance isolation, the contributions of this paper are a full evaluation of Argus' behaviors in different situations.…”

“…Specifically, redundant resources from the slow tenants will be taken away and distributed evenly among tenants that are in need. [8] presents a preliminary algorithm that only redistributes credits for disk resource regulation. This paper refines the algorithm and takes cache as well as disk into account.…”