… In addition, workload modeling in cloud computing enables performance analysis and
simulation, which brings benefits to cloud providers and researchers as it allows: (i) the evaluation…

… and patterns of workloads within a Cloud computing environment is critical … models based
on realistic parameters are also urgently needed for investigating the impact of these workload …

… -units in one workload model. To solve the problem, a hierarchical workload modeling
approach is proposed in this paper. The approach constructs a cloud workload model on three …

… workload. This paper focuses on statistical modeling and its application to data-intensive
workloads… At the same time, the advent of cloud computing infrastructures such as Amazon EC2 …

… a complete solution for the hybrid cloud computing model. There are … workload factoring
component in this paper as it is a unique functionality requirement in the hybrid cloud computing …

… and auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is
of high importance for improving cloud performance, mitigate energy consumptions, meeting …

… Cloud computing offers the flexibility to dynamically size the infrastructure in response to
changes in workload … infrastructure is supported by major cloud providers, these scaling options …

… , modeling and generation of workloads for cloud computing … and workload models to create
workload specifications that are … workloads for performance evaluation of cloud computing …

… along the cloud computing trend, we believe a core technology component in need is on
flexible workload management working for both models, and our workload factoring technology …

… research on workload predicting for cloud computing elasticity … propose a Kalman fIlter model
to predict the cloud workload; … the workload; c) we propose a new trigger strategy for cloud …