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Multi-tenant service-based systems (SBSs) have gained unprecedented prominence in recent years. Network-accessible Web services are composed in the form of business process to simultaneously fulfill multiple tenants' functional and multi-dimensional quality-of-service (QoS) requirements. Those services often operate in a distributed and volatile environment. It is of tremendous importance to monitor...
A fundamental premise in cloud computing is trying to provide a more sophisticated computing resource sharing capability. In order to provide better allocation, the Dominant Resource Fairness (DRF) approach has been developed to address the "fair resource allocation problem" at the application layer for multi-tenant cloud applications. Nevertheless conventional DRF only considers the interplay...
Multi-tenant service-based systems (SBSs) have become a major paradigm in software engineering in the cloud environment. Instead of serving a single end-user, a multitenant SBS provides multiple tenants with similar and yet customised functionalities with potentially different quality-of service (QoS) values. Thus, existing approaches to service selection for single-tenant SBSs are no longer suitable...
With the proliferation of cloud computing, more and more functionally equivalent cloud services with varied quality of service (QoS) have emerged. Service selection for a SaaS (Software as a Service) has become a critical issue in cloud environments, and the transition from single-tenancy to multi-tenancy has made this issue more complicated. Existing approaches suffer from low efficiency in finding...
Cloud-based software applications (Software as a Service - SaaS) for multi-tenant provisioning have become a major development paradigm in Web engineering. Instead of serving a single end-user, a multi-tenant SaaS provides multiple end-users with the same functionality but with potentially different quality-of-service (QoS) values. The service selection for such a SaaS is a complex decision-making...
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