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Vyas O?Neill and Ben Soh
Cloud computing has become ubiquitous in the enterprise environment as its on-demand model realizes technical and economic benefits for users. Cloud users demand a level of reliability, availability, and quality of service. Improvements to reliability ge...
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Konstantinos Papadakis-Vlachopapadopoulos, Ioannis Dimolitsas, Dimitrios Dechouniotis, Eirini Eleni Tsiropoulou, Ioanna Roussaki and Symeon Papavassiliou
With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge cl...
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Paolo Bocciarelli and Andrea D?Ambrogio
Modeling and simulation (M&S) techniques are effectively used in many application domains to support various operational tasks ranging from system analyses to innovative training activities. Any (M&S) effort might strongly benefit from the adopti...
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Yue Wang, Choonhwa Lee, Shuyang Ren, Eunsam Kim and Sungwook Chung
With the rapidly growing popularity of cloud services, the cloud computing faces critical challenges to orchestrate the deployment and operation of cloud applications on heterogenous cloud platforms. Cloud applications are built on a platform model that ...
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Dongkyun Kim and Yong-Hwan Kim
Multi-access edge computing (MEC) has become an essential technology for collecting, analyzing, and processing data generated by widely distributed user equipment (UE), wireless end-hosts, Internet of things (IoT) sensors, etc., providing real-time and h...
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Gleb I. Radchenko,Ameer B. A. Alaasam,Andrei N. Tchernykh
Pág. 48 - 79
Cloud computing systems have become widely used for Big Data processing, providing access to a wide variety of computing resources and a greater distribution between multi-clouds. This trend has been strengthened by the rapid development of the Internet ...
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Ghyzlane Cherradi, Adil EL Bouziri, Azedine Boulmakoul, Karine Zeitouni
Pág. 873 - 880
The transportation of dangerous goods represents one of the most critical risks particularly in urban areas. For example, every day large quantities of hazardous substances are transported by roads or railways inside areas with high density of population...
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Saad Inshi, Rasel Chowdhury, Hakima Ould-Slimane and Chamseddine Talhi
Predicting context-aware activities using machine-learning techniques is evolving to become more readily available as a major driver of the growth of IoT applications to match the needs of the future smart autonomous environments. However, with today?s i...
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