NDLI: Workload-Aware Resource Reservation for Multi-tenant NoSQL

Content Provider	IEEE Xplore Digital Library
Author	Jiaan Zeng Plale, B.
Copyright Year	2015
Description	Author affiliation: Sch. of Inf. & Comput., Indiana Univ. Bloomington, Bloomington, IN, USA (Jiaan Zeng; Plale, B.)
Abstract	Cloud hosted NoSQL data stores are for economic reasons often shared amongst multiple tenants simultaneously. The NoSQL provider consolidates multiple tenants access into a shared NoSQL instance and provides a dedicated view for each tenant. This multi-tenancy has tenants' data and workloads coexisting in the same node, which under certain conditions can lead to performance degradation of one tenant caused by another. In this paper, we investigate the multi-tenant interference in a common NoSQL store, HBase, and propose a resource reservation framework that reserves resources for prevention and dynamically adjusts the reservations according to tenant resource demands. The framework enforces cache reservation by splitting the cache space and disk reservation by scheduling requests to a distributed file system (DFS). A stochastic hill climbing algorithm is used to find a near-optimum plan for different resources reservations. Empirical results show that the framework can prevent interference and adapt to dynamic workloads under multi-tenancy.
Starting Page	32
Ending Page	41
File Size	668718
Page Count	10
File Format	PDF
ISBN	9781467365987
DOI	10.1109/CLUSTER.2015.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Throughput Interference Schedules Resource management Stochastic processes Cloud computing Optimization
Content Type	Text
Resource Type	Article

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