An Architectural Evaluation of Java TPC-W
HPCA '01 Proceedings of the 7th International Symposium on High-Performance Computer Architecture
ICEBE '08 Proceedings of the 2008 IEEE International Conference on e-Business Engineering
The design of the force.com multitenant internet application development platform
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
How is the weather tomorrow?: towards a benchmark for the cloud
Proceedings of the Second International Workshop on Testing Database Systems
Benchmarking cloud serving systems with YCSB
Proceedings of the 1st ACM symposium on Cloud computing
A Framework for Optimized Distribution of Tenants in Cloud Applications
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
An Effective Heuristic for On-line Tenant Placement Problem in SaaS
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
The SPOSAD Architectural Style for Multi-tenant Software Applications
WICSA '11 Proceedings of the 2011 Ninth Working IEEE/IFIP Conference on Software Architecture
How a consumer can measure elasticity for cloud platforms
ICPE '12 Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering
CLOUD '12 Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing
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Cloud environments reduce data center operating costs through resource sharing and economies of scale. Infrastructure-as-a-Service is one example that leverages virtualization to share infrastructure resources. However, virtualization is often insufficient to provide Software-as-a-Service applications due to the need to replicate the operating system, middleware and application components for each customer. To overcome this problem, multi-tenancy has emerged as an architectural style that allows to share a single Web application instance among multiple independent customers, thereby significantly improving the efficiency of Software-as-a-Service offerings. A number of platforms are available today that support the development and hosting of multi-tenant applications by encapsulating multi-tenancy specific functionality. Although a lack of performance guarantees is one of the major obstacles to the adoption of cloud computing, in general, and multi-tenant applications, in particular, these kinds of applications and platforms have so far not been in the focus of the performance and benchmarking community. In this paper, we present an extended version of an existing and widely accepted application benchmark adding support for multi-tenant platform features. The benchmark is focused on evaluating the maximum throughput and the amount of tenants that can be served by a platform. We present a case study comparing virtualization and multi-tenancy. The results demonstrate the practical usability of the proposed benchmark in evaluating multi-tenant platforms and gives insights that help to decide for one sharing approach.