According to the dynamic nature of cloud and the rapid growth of the resources demand in it,
the resource provisioning is one of the challenging problems in the cloud environment. The …

Cloud computing enables users to provision resources on demand and execute applications
in a way that meets their requirements by choosing virtual resources that fit their application …

In the single-machine non-clairvoyant scheduling problem, the goal is to minimize the total
completion time of jobs whose processing times are unknown a priori. We revisit this well …

Fog computing is one of the promising technologies for realizing global‐scale Internet of
Things (IoT) applications as it allows moving compute and storage resources closer to IoT …

Many techniques such as scheduling and resource provisioning rely on performance
prediction of workflow tasks for varying input data. However, such estimates are difficult to …

With the increasing growth of information through smart devices, increasing the quality level
of human life requires various computational paradigms presentation including the Internet …

With the migration of more and more workflows to clouds, cloud workflow scheduling
becomes the main bottleneck for meeting user's Quality of Service (QoS) due to the …

Spark has become one of the main options for large-scale analytics running on top of shared-
nothing clusters. This work aims to make a deep dive into the parallelism configuration and …

Many algorithms in workflow scheduling and resource provisioning rely on the performance
estimation of tasks to produce a scheduling plan. A profiler that is capable of modeling the …

Estimates of task runtime, disk space usage, and memory consumption, are commonly used
by scheduling and resource provisioning algorithms to support efficient and reliable …