Combining Different Multi-tenancy Patterns in Service-Oriented Applications

Abstract

Software as a service (SaaS) providers exploit economies of scale by offering the same instance of an application to multiple customers typically in a single-instance multitenant architecture model. Therefore the applications must be scalable, multi-tenant aware and configurable. In this paper we show how the services in a service-oriented SaaS application can be deployed using different multi-tenancy patterns. We describe how the chosen patterns influence the customizability, multi-tenant awareness and scalability of the application. Using the patterns we describe how individual services in a multitenant aware application can be not multi-tenant aware while maintaining the overall multi-tenant awareness of the application. We show based on a real-world example how the patterns can be used in practice and show how existing applications already use these patterns.

A Coordination Protocol for User-customisable Cloud Policy Monitoring

“…Multi-tenancy applications, i.e. cloud applications provided to many users, are manageable as long as a one-size-fits-all approach works, but a management scalability problem arises if different users have different requirements (Mietzner et al, 2009). A configurable policy monitoring technique is the proposed solution (Wang et al, 2009).…”

Cloud Service Localisation

“…Current cloud computing for international settings suffers from localisation and adaptability problems for multiple but different users [18,27], which can be overcome through multi-lingual and multi-regional localisation.…”

“…We propose to adopt and extend respective adaptation and instrumentation techniques [5,14]. Multi-tenancy is a cloud computing problem [18,27] that requires solutions for different users with different needs to be kept separate. -Semantic Technologies: matching of services and supporting the negotiation process and infrastructure [7,10,19].…”

Software Service Adaptation Based on Interface Localisation

“…We suggest to adopt and extend common adaptation and instrumentation techniques (Baresi & Guinea, 2005;Kapitsaki et al, 2009).  Multi-tenancy is a cloud computing concern (Mietzner et al, 2009;Wang, Bandara & Pahl, 2010) that requires in a fully customised framework different solutions for users with different needs, to keep them separate.  Semantic Technologies: matching of services and supporting the negotiation process and infrastructure (Doulkeridis, Loutas & Vazirgiannis, 2006;Fuji & Suda, 2009;Pahl & Zhu, 2005).…”