This paper introduces the ACCORDION framework, a novel framework for the management
of the cloud-edge continuum, targeting the support of NextGen applications with strong QoE …

The evolution of the Internet of things (IoT) has led to a massive number of intelligent
devices. The tremendous increase in the IoT devices has also led to a huge amount of data …

In the large-scale parallel computing environment, resource allocation and energy efficient
techniques are required to deliver the quality of services (QoS) and to reduce the …

Clouds have been relevant business drivers and computational backends for a wide range
of applications, including IoT, e-health, data analytics. To match the complex needs of such …

The Internet is experiencing a fast expansion at its edges. The wide availability of
heterogeneous resources at the Edge is pivotal in the definition and extension of traditional …

The advancement of the Internet of Things (IoT) has prompted countless smart gadgets,
which produce hundreds of gigabytes of data per hour. The main challenge is processing …

With the advent of High Performance Computing (HPC) in the large-scale parallel
computational environment, job scheduling and resource allocation techniques are required …

Managing servers integration to realize distributed data computing framework is an
important concern. Regardless of the underlying architecture and the actual distributed …

Presently, big companies such as Amazon, Google, Facebook, Microsoft, and Yahoo! own
huge datacenters with thousands of nodes. These clusters are used simultaneously by many …

The use of large distributed computing infrastructure is a means to address the ever
increasing resource demands of scientific and commercial applications. The scale of current …