Analytical performance models have been leveraged extensively to analyze and improve
the performance and cost of various cloud computing services. However, in the case of …

Oriented to the new generation of cyber-physical manufacturing, this paper introduces two
breakthroughs of industrial design and development software system: model-based systems …

In a typical healthcare monitoring system, the cloud is the preferred platform to aggregate,
store and analyse data collected from Medical Internet of Things (or MIoT) devices …

Analytical performance models are very effective in ensuring the quality of service and cost
of service deployment remain desirable under different conditions and workloads. While …

During the past years, sending data to the cloud servers was a prominent trend, making the
cloud computing paradigm dominate the technology landscape. However, the internet of …

This work proposes a stochastic characterization of resilient 5G architectures, where
attributes such as performance and availability play a crucial role. As regards performance …

Byzantine fault-tolerant (BFT) systems are able to maintain the availability and integrity of IoT
systems, in the presence of failure of individual components, random data corruption or …

The efficient management of the performance and reliability factors of safety critical systems
(SCSs) may optimize system's performability and hence improve the quality of the SCSs. A …

In this paper, we propose a novel efficient and cost optimized scheduling algorithm for a Bag
of Tasks (BoT) on Virtual Machines (VMs). Further, in this paper, we use artificial Neural …

Cloud computing datacenters consume huge amounts of energy, which has high cost and
large environmental impact. There has been significant amount of research on dynamic …