A Method to Support Variability of Enterprise Services on the Cloud

Jegadeesan, Harshavardhan; Balasubramaniam, Sundar

doi:10.1109/cloud.2009.69

Cited by 14 publications

(4 citation statements)

References 19 publications

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“…• The business-process layer (services orchestration and composition): The approaches proposed [15], [6], [8] try mainly to extend the business-process execution language (BPEL) [12] in order to support its run-time adaptation, especially that BPEL is recognized as a standard in the web services world. • The service layer (functional layer represented as a set of invoked services): The approaches proposed [10], [22], [13] provide different adaptation mechanisms and patterns, making these individual (atomic) services more reusable in different run-time context. • The interface layer (intermediate layer between business-processes and services): The approaches proposed [20], [14] try mainly to identify the conflict problems and the services interfaces mismatch at their input and output types, which is generally produced after a dynamic services replacement at the businessprocess layer.…”

Section: Background and Problemmentioning

confidence: 99%

Decoupling variability management in multi-tenant SaaS applications

Ghaddar

Tamzalit

Assaf

2011

Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)

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Variability represents an important challenge in multi-tenant SaaS applications. In fact, even if multi-tenancy realizes SaaS providers dream of having a single maintained software instance serving multiple customers (tenants) for common functionality, variations in tenants needs and their specific requirements at many places of the application bring providers back to the real world. They face an additional design concern: supporting application variability on a pertenant basis. In this paper, we focus on such variability concern and try to reduce its complexity by decoupling its management through different application layers. We rely on a two-steps decoupling approach: the first step consists of representing application variations as an explicit variability model while the second step consists of choosing the must appropriate application layer(s) to manage each variation. Our approach is illustrated by relying on a case study from the food industry.

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Section: Background and Problemmentioning

confidence: 99%

Decoupling variability management in multi-tenant SaaS applications

Ghaddar

Tamzalit

Assaf

2011

Proceedings of 2011 IEEE 6th International Symposium on Service Oriented System (SOSE)

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“…It can occur in number of states like in design, compilation of software, linking to other software, and runtime. Variability concerns affect both the service interface and the service provider implementation and hence are crosscutting in nature [14]. Multi-tenancy demand to customizing the single instance according variability wishes among many customers [1].…”

Section: Introductionmentioning

confidence: 99%

Variable service process by feature meta-model for SaaS application

Salih

Zang

2012

2012 International Conference on Green and Ubiquitous Technology

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We observed SaaS developed application by multitenancy to provide flexible customization and introduced many issues in software scalability and dynamic testing. Multitenancy demand to customizing the single instance according variability wishes among many customers. For that we proposed variable service process to customization multitenancy in runtime. It will be realize all benefits of variability concept for SaaS application. And proposed Feature metamodel to implement graphical editor and define all rules and linkages between elements of service process.

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“…Software as a Service (SaaS) applications are cloud-based applications that are mostly service-oriented, and are provisioned to different customers (they are multi-tenant). Since a SaaS provider provides a family of applications with many commonalities, service-oriented product lines are considered a proper solution for SaaS applications [4] [5] [6].…”

Section: Introduction To the Problemmentioning

confidence: 99%

An approach to variability management in service-oriented product lines

Khoshnevis¹

2012

2012 34th International Conference on Software Engineering (ICSE)

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Service-Oriented product lines (SOPLs) are dynamic software product lines, in which, the products are developed based on services and service-oriented architecture. Although there are similarities between components and services, there are important differences so that we cannot use component-based product line engineering methods and techniques for SOPL engineering. These differences emerge from the fact that, services can be discovered as black box elements from external repositories. Moreover, services can be dynamically bound and are business-aligned. Therefore, analyzing the conformance of discovered external services with the variability of services in the SOPL -which must be aligned to the variable business needs-is necessary. Variability must be managed, that is, it must be represented (modeled), used (instantiated and capable of conformance checking) and maintained (evolved) over time. Feature Models are insufficient for modeling variability in SOPL, because, services cannot be simply mapped to one or more features, and identification of the mapping depends on knowing the detailed implementation of the services. This research aims at providing an approach to managing the variability in SOPLs so that external services can be involved in the SOPL engineering. This paper presents an overview of the proposal.

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A Method to Support Variability of Enterprise Services on the Cloud

Cited by 14 publications

References 19 publications

Decoupling variability management in multi-tenant SaaS applications

Decoupling variability management in multi-tenant SaaS applications

Variable service process by feature meta-model for SaaS application

An approach to variability management in service-oriented product lines

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