Title
SPIN: Service Performance Isolation Infrastructure in Multi-tenancy Environment
Abstract
The flourish of SaaS brings about a pressing requirement for Multi-tenancy to avoid dedicated installation for each tenant and benefit from reduced service delivery costs. Multi-tenancy's intention is to satisfy requests from different tenants concurrently by a single service instance over shared hosting resources. However, extensive resource sharing easily causes inter-tenant performance interference. Therefore, Performance isolation is crucial for Multi-tenancy environment to prevent the potentially bad behaviors of one tenant from adversely affecting the performance of others in an unpredictable manner and prevent the unbalanced situation where some tenants achieve very high performance at the cost of others. Current technologies fail to achieve the goals of both performance isolation and resource share. This paper proposes a Service Performance Isolation Infrastructure (SPIN) which allows extensive resource sharing on hosting systems. Once some aggressive tenants interfere with others' performance, SPIN gives anomaly report, identifies the aggressive tenants, and enables a self-adaptive moderation to remove their negative impacts on others. We have implemented SPIN prototype and demonstrate its isolation efficiency on the Trade6 benchmark which is revised to support Multi-tenancy. SPIN fits industry practice for a performance overhead less than 5%.
Year
DOI
Venue
2008
10.1007/978-3-540-89652-4_58
ICSOC
Keywords
Field
DocType
aggressive tenant,multi-tenancy environment,performance isolation,high performance,service performance isolation infrastructure,extensive resource,different tenants concurrently,isolation efficiency,extensive resource sharing,spin prototype,inter-tenant performance interference,resource sharing,service delivery,satisfiability
Performance monitoring,Temporal isolation among virtual machines,Computer security,Computer science,Multitenancy,Real-time computing,Software as a service,Shared resource,Service delivery framework
Conference
Volume
ISSN
Citations 
5364
0302-9743
18
PageRank 
References 
Authors
1.23
12
4
Name
Order
Citations
PageRank
Xin Hui Li1181.23
tiancheng liu219613.96
Ying Li335145.93
Ying Chen436134.10