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 …

As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …

The quality of machine learning (ML) and deep learning (DL) models are very sensitive to
many different adjustable parameters that are set before training even begins, commonly …

Cloud providers provision their heterogeneous resources such as CPUs, memory, and
storage in the form of virtual machine (VM) instances which are then allocated to the users …

Abstract Virtual Machine Placement (VMP) plays a significant role in improving efficiency of
Cloud Data Center (CDC). With the dramatic increase in the use of cloud computing, it …

Network virtualization techniques allow for the coexistence of many virtual networks hosted
in the same substrate network. Virtual router migration allows for resource consolidation with …

Fog computing extends multi-cloud computing by enabling services or application functions
to be hosted close to their data sources. To take advantage of the capabilities of fog …

Cloud Computing is emerging as a major trend in ICT industry. However, as with any new
technology, new major challenges lie ahead, one of them concerning the resource …

Recently we witnessed a deep transformation in the the design, development and
management of modern applications, which have grown in scope and size becoming …

Distributed Deep Learning (DDL), as a paradigm, dictates the use of GPU-based clusters as
the optimal infrastructure for training large-scale Deep Neural Networks (DNNs). However …