Sharing with a Difference: Realizing Service-Based SaaS Applications with Runtime Sharing and Variation in Dynamic Software Product Lines

Kumara, Indika; Han, Jun; Colman, Alan; Nguyen, Tuan D.; Kapuruge, Malinda

doi:10.1109/scc.2013.30

Cited by 25 publications

(24 citation statements)

References 19 publications

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“…For example, in case of a VDI DaaS model a variant of existing application instances should be deployed dynamically, as proposed in [2,19,22,29,30]. While, for a hosted shared DaaS model the single application instance should be modified when possible.…”

Section: Engineering User-centric Adaptationmentioning

confidence: 99%

“…From the user perspective, this lack of configurability [22] is a major drawback of multi-tenancy, especially when users' preferences are not known in advance. Several approaches [2,19,22,29,30] have been proposed to support dynamic configuration management in multi-tenant services. Nonetheless, these contributions consider an isolated multi-tenant model, and they focus on deploying different variants of existing service instances at runtime.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

User-centric adaptation of multi-tenant services: preference-based analysis for service reconfiguration

García-Galán

Pasquale

Trinidad

et al. 2014

Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

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Multi-tenancy is a key pillar of cloud services. It allows different tenants to share computing resources transparently and, at the same time, guarantees substantial cost savings for the providers. However, from a user perspective, one of the major drawbacks of multi-tenancy is lack of configurability. Depending on the isolation degree, the same service instance and even the same service configuration may be shared among multiple tenants (i.e. shared multi-tenant service). Moreover tenants usually have different -and in most of the cases -conflicting configuration preferences. To overcome this limitation, this paper introduces a novel approach to support user-centric adaptation in shared multi-tenant services. The adaptation objective aims to maximise tenants' satisfaction, even when tenants and their preferences change during the service life-time. This paper describes how to engineer the activities of the MAPE loop to support user-centric adaptation, and focuses on the analysis of tenants' preferences. In particular, we use a game theoretic analysis to identify a service configuration that maximises tenants' preferences satisfaction. We illustrate and motivate our approach by utilising a multi-tenant desktop scenario. Obtained experimental results demonstrate the feasibility of the proposed analysis.

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Section: Engineering User-centric Adaptationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

User-centric adaptation of multi-tenant services: preference-based analysis for service reconfiguration

García-Galán

Pasquale

Trinidad

et al. 2014

Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems

View full text Add to dashboard Cite

show abstract

“…migrating components). A similar approach is presented in [31], where services are organized in behavioral units. Finally, [32] introduces a slightly different approach, which models the functional variability through the Orthogonal Variability Model (OVM).…”

Section: Variability Management In the Cloudmentioning

confidence: 99%

A Software Product Line Approach for Configuring Cloud Robotics Applications

Gherardi

Hunziker

Mohanarajah

2014

2014 IEEE 7th International Conference on Cloud Computing

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Abstract-The computational requirements of the increasingly sophisticated algorithms used in today's robotics software applications have outpaced the onboard processors of the average robot. Furthermore, the development and configuration of these applications are difficult tasks that require expertise in diverse domains, including software engineering, control engineering, and computer vision. As a solution to these problems, this paper extends and integrates our previous works, which are based on two promising techniques: Cloud Robotics and Software Product Lines. Cloud Robotics provides a powerful and scalable environment to offload the computationally expensive algorithms resulting in low-cost processors and light-weight robots. Software Product Lines allow the end user to deploy and configure complex robotics applications without dealing with low-level problems such as configuring algorithms and designing architectures. This paper discusses the proposed method in depth, and demonstrates its advantages with a case study.

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“…The ROAD framework has applied in a number domains including adaptive business processes (Kapuruge et al 2013bKapuruge et al 2011, personalised mobile phone call handling based on social context information obtained from social networks (Kabir et al 2012 (Kayes et al 2014), and multi-tenanted cloud applications (Kumara et al 2013). Domain specific evaluations can be found in the above.…”

Section: Engineering Caas Applications Using the Road Frameworkmentioning

confidence: 99%

Context Aware and Adaptive Systems

Colman

Hussein

Han

et al. 2014

Context in Computing

Self Cite

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Context aware software systems and adaptive software systems sense changes in their environments, and respond by changing their behaviour and/or structure appropriately. The perspective of these two approaches, however, tends to differ. Context aware systems focus on modelling and reasoning about the relevant environmental context often with aid of formal ontologies The system, however, can only respond to an anticipated change of configuration setting or a change of application mode. Adaptive systems in contrast focus on how the system responds to an unanticipated environmental change. However, adaptive systems typically lack sophisticated models of context. This chapter analyses the differences and similarities between context-aware and adaptive systems. It then describes an approach and framework called ROAD that supports the development of context-aware applications whose structure and behavior can be altered at runtime. ROAD provides mechanisms to acquire and record context information and provision a central store of 'facts' which are evaluated in rules. These rules mediate operational messages or trigger adaptations to the structure of the application.A. Colman ( ) ·

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Sharing with a Difference: Realizing Service-Based SaaS Applications with Runtime Sharing and Variation in Dynamic Software Product Lines

Cited by 25 publications

References 19 publications

User-centric adaptation of multi-tenant services: preference-based analysis for service reconfiguration

User-centric adaptation of multi-tenant services: preference-based analysis for service reconfiguration

A Software Product Line Approach for Configuring Cloud Robotics Applications

Context Aware and Adaptive Systems

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