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A goal of cloud service management is to design self-adaptable auto-scaler to react to workload fluctuations and changing the resources assigned. The key problem is how and when to add/remove resources in order to meet agreed service-level agreements. Reducing application cost and guaranteeing service-level agreements (SLAs) are two critical factors of dynamic controller design. In this paper, we...
In a cloud environment, uncertainty and resource dispersion lead to problems with resource allocation due, for instance, to heterogeneity, dynamism, and failures. Unfortunately, existing resource management techniques, frameworks, and mechanisms are insufficient to handle these environments, applications, and resource behaviors. To provide efficient workload performance and applications, these issues...
Auto scaling mechanisms have become a typical paradigm in cloud computing environments. Such mechanisms can increase or minimize the number of virtual machines according to user demands, consequently achieving pay-per-use objectives. However, auto scaling mechanisms provided by infrastructure-as-a-service providers must strictly follow user-defined thresholds, the drawback of such mechanisms is that...
In the today Internet of Services, one of the challenges of Application Service Providers (ASPs) is to fulfill the QoS requirements stated in the Service Level Agreements (SLAs) established with different consumers and to minimize the investment and management costs. Cloud computing is the promising solution for ASPs that increasingly demand for an elastic infrastructure. In this paper, we formulate...
Cloud computing has emerged as a new paradigm, which is the long-held dream of computing as utility, customer get it on an on-demand model. When discuss about performance requirement and QoS (Quality of Service) of service, it is hard to tackle these problem in a round consideration. In this work we propose an SLA-aware (Service Level Agreement aware) framework ¨C cloud service provider (CSP) for...
Managing workload for large scale web applications is a fundamental task for satisfactory quality of service, low management and operation cost. In this paper, we present SCOPS, a system of distributed workload management to achieve service differentiation and overload protection in such large scale deployment. Our system splits the workload management logic into distributed components on each back-end...
Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate several virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine...
This is an introduction to the proceedings of the MWS 2007 workshop held at EDOC 2007. It first explains the motivation for and background of the workshop. Then, it contains a short description of the keynote, each long and short peer-reviewed paper, and the discussion session "impact of various execution environments on middleware for web services". After the closing statements, MWS 2007...
We developed a quality of service (QoS) management system to support service level management (SLM) for global enterprise services. The QoS management system is integrated with one of our enterprise services in a preproduction system, an identical system as the production system but in a test environment. Lab experiments showed that our integrated solution helps global enterprise services to better...
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