Metrics and techniques for quantifying performance isolation in cloud environments
Proceedings of the 8th international ACM SIGSOFT conference on Quality of Software Architectures
A request multiplexing method based on multiple tenants in saas
GPC'12 Proceedings of the 7th international conference on Advances in Grid and Pervasive Computing
PMAX: tenant placement in multitenant databases for profit maximization
Proceedings of the 16th International Conference on Extending Database Technology
Multi-tenancy performance benchmark for web application platforms
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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As one of the key characteristics of Software as a Service (SaaS), multi-tenancy aims to support massive customers by sharing application instances and databases. To achieve the high economies of scale, one of the most issues needing to be solved in the real industry is that, given a fixed number of nodes, how to optimally place on-boarding tenants to maximize the total supported number of tenants without violating their SLA requirements. This paper focuses on this problem, which is called On-line Tenant Placement Problem (OTPP). In order to calculate the resource consumption of on-boarding tenants, a novel resource consumption estimation model for multi-tenant pattern is proposed in this paper. Based on this model, we explore the complexity of OTPP. A robust heuristic is proposed for the OTPP. The simulation experimental results show the high effectiveness and the good efficiency of our algorithm.