GSE2109 was used for evaluating the performance of the cloud computing platform.
Moreover, these studies seldom consider the impact of virtual network topologies on the performance of the cloud-based MapReduce workflows.
There are different approaches of how to apply High Performance Computing (HPC) on the Cloud, depending on the parallel computation model [17, 18].
P-SaMI reduces the number of molecular docking simulations while the middleware speeds up the docking experiments using a High Performance Computing (HPC) environment on the cloud.
The presentation of a series of lessons, which can be used to select SCADA parts that should be migrated and location of their deployment, their relationship, influence on execution performance, and even improve the performance of SCADA systems running on the cloud.
LQNs are used to predict the performance of an enterprise application deployed on the cloud with strict SLA requirements based on historical data.
MicroEval seeks to move performance reviews to the cloud.
The quality of the data is evaluated in "Quality of the data" section for performance on fine-scale cloud features and photometric accuracy.
All of this sounds very technical, but it solves a real problem for many businesses that rely on high-performance computing in the cloud.
The lack of the energy significantly affects the performance and efficiency of the mobile cloud device including running applications on the cloud [35, 36].
