Cloud computing platforms such as Amazon Web Services, Google Compute Engine, and Rackspace Public Cloud have been the subject of numerous measurement studies considering performance, reliability, and cost efficiency. However, little attention has been paid to billing. Cloud providers rely upon complex, large-scale billing systems that track customer resource usage at fine granularity and gener...

A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to improve decision making in distributed system software scheduling, towards a better usage of system resources. Resource usage patterns are defined through runtime measurements and a self-organizing neural network architecture,...

Infrastructure as a Service (IaaS) cloud provides resources as a service from a pool of compute, network, and storage resources. Cloud providers can manage their resource usage by knowing future usage demand from the current and past usage patterns of resources. Resource usage prediction is of great importance for dynamic scaling of cloud resources to achieve efficiency in terms of cost and ene...