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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...
This paper presents a Learning Automata (LA)-based QoS (LAQ) framework capable of addressing some of the challenges and demands of various cloud applications. The proposed LAQ framework ensures that the computing resources are used in an efficient manner and are not over- or under-utilized by the consumer applications. Service provisioning can only be guaranteed by continuously monitoring the resource...
This work provides a system modeling approach to describe a virtualized data center environment running a business process. This model allows the collection of simulation data at different workload rates that can be used as a dataset for reasoning about quality of service and energy efficiency issues related to the process. The model overcomes the issue of obtaining real data from data center administrators...
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...
Cloud computing, a paradigm shift that offer computing resources in a pay-as-you-go manner, is expected to minimize service operators' cost without sacrificing the performance of services. However, it is much harder to guarantee the performance of cloud applications due to the complex architecture of cloud, the interaction between co-deployed applications and the unpredictability of workload. Some...
Virtualization is essential to cloud computing as it can provide the means for flexible, reliable and manageable computing resources. At the same time, it raises new challenges for system management, including resource allocation for virtual machines (VMs), means for providing quality of service for applications, meeting organizational objectives, etc. This paper explores the use of policies to drive...
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...
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