Cloud computing is very popular because of its unique features such as scalability, elasticity, on-demand service, and security. A large number of tasks are performed simultaneously in a …
N Mansouri, R Ghafari, BMH Zade - Simulation Modelling Practice and …, 2020 - Elsevier
Nowadays, cloud computing is an emerging technology due to virtualization and providing low price services on pay-as per-use basis. One of the main challenges in this regard is how …
DN Jha, K Alwasel, A Alshoshan… - Software: Practice …, 2020 - Wiley Online Library
With the proliferation of Internet of Things (IoT) and edge computing paradigms, billions of IoT devices are being networked to support data‐driven and real‐time decision making …
A Markus, A Kertesz - Simulation Modelling Practice and Theory, 2020 - Elsevier
In the past ten years, the latest advances in Information and Communication Technology had a significant impact on distributed systems by giving birth to paradigms such as Cloud …
The osmotic computing paradigm sets out the principles and algorithms for simplifying the deployment of Internet of Things (IoT) applications in integrated edge-cloud environments …
With the rise of internet of things (IoT) technology, it is anticipated that large-scale sensor- based systems will permeate society, calling for novel methodologies to design, test, and …
The Petri net (PN) formalism is a suitable tool for modeling parallel systems due to its basic characteristics, such as synchronization. The extension of PN, the Colored Petri Nets (CPN) …
Scientific workflows are used routinely in numerous scientific domains, and Workflow Management Systems (WMSs) have been developed to orchestrate and optimize workflow …
The paper presents state of the art of energy‐aware high‐performance computing (HPC), in particular identification and classification of approaches by system and device types …