16 papers · ranked by Valyu relevance
Ahmed M. Alwakeel, Koffi-Clément Yao
With the advancement of different technologies such as 5G networks and IoT the use of different cloud computing technologies became essential. Cloud computing allowed intensive data processing and warehousing solution. Two different new cloud technologies that inherit some of the traditional cloud computing paradigm…
Aleksandr Ometov, Oliver Liombe Molua, Mikhail Komarov, Jari Nurmi + 3 more
'Leandros Maglaras' 'Helge Janicke' 'Mohamed Amine Ferrag'] The field of information security and privacy is currently attracting a lot of research interest. Simultaneously, different computing paradigms from Cloud computing to Edge computing are already forming a unique ecosystem with different architectures, storage…
João Bachiega, Breno Costa, Aletéia Araújo
—Fog computing is a recent computational paradigm that was proposed to solve some weaknesses in cloud-based systems. For this reason, this technology has been extensively studied by several technology areas. It is still in a maturing stage, so there is no consensus in academia about its concepts and definitions, and…
Nancy A Angel, Dakshanamoorthy Ravindran, P M Durai Raj Vincent, Kathiravan Srinivasan + 5 more
Cloud computing has become integral lately due to the ever-expanding Internet-of-things (IoT) network. It still is and continues to be the best practice for implementing complex computational applications, emphasizing the massive processing of data. However, the cloud falls short due to the critical constraints of…
Mohammed A. Aleisa, Abdullah Abuhussein, Faisal S. Alsubaei, Frederick T. Sheldon + 1 more
'Frederick T. Sheldon' 'Paolo Bellavista'] The fog layer provides substantial benefits in cloud-based IoT applications because it can serve as an aggregation layer and it moves the computation resources nearer to the IoT devices; however, it is important to ensure adequate performance is achieved in such applications…
Farimasadat Miri, Richard W. Pazzi
In recent years, the number of IoT devices has been growing fast which leads to a challenging task for managing, storing, analyzing, and making decisions about raw data from different IoT devices, especially for delay-sensitive applications. In a vehicular network (VANET) environment, the dynamic nature of vehicles…
Thong Vo, Pranjal Dave, Gaurav Bajpai, Rasha Kashef
With the rapid growth of the Internet of Things (IoT) and a wide range of mobile devices, the conventional cloud computing paradigm faces significant challenges (high latency, bandwidth cost, etc.). Motivated by those constraints and concerns for the future of the IoT, modern architectures are gearing toward…
Dang Van Thang, Artem Volkov, Ammar Muthanna, Andrey Koucheryavy + 3 more
With the continuing development of technology, telepresence services have emerged as an essential part of modern communication systems. Concurrently, the rapid growth of fog computing presents new opportunities and challenges for integrating telepresence capabilities into distributed networks. Fog computing is a…
Agnius Liutkevičius, Nerijus Morkevičius, Algimantas Venčkauskas, Jevgenijus Toldinas + 3 more
'Jevgenijus Toldinas' 'Taehong Kim' 'Youngsoo Kim' 'Seong-eun Yoo'] Fog computing is an extension of cloud computing that provides computing services closer to user end-devices at the network edge. One of the challenging topics in fog networks is the placement of tasks on fog nodes to obtain the best performance and…
Harshit Gupta, Ajay Kumar Bharti
Fog computing is an emerging technology in the field of network services where data transfer from one device to another to perform some kind of activity. Fog computing is an extended concept of cloud computing. It works in-between the Internet of Things (IoT) and cloud data centers and reduces the communication gaps.…
Satish Narayana Srirama
Recent developments in the Internet of Things (IoT) and real-time applications, have led to the unprecedented growth in the connected devices and their generated data. Traditionally, this sensor data is transferred and processed at the cloud, and the control signals are sent back to the relevant actuators, as part of…
Balqees Talal Hasan, Ali Kadhum Idrees
DRAFTAbstract Over the past few years, The idea of edge computing has seen substantial expansion in both academic and industrial circles. This computing approach has garnered attention due to its integrating role in advancing various state-of-the-art technologies such as Internet of Things (IoT) , 5G, artificial…
Malcolm Sim, Mohammad Ghazi Vakili, Felix Strieth-Kalthoff, Han Hao + 4 more
Self-driving laboratories (SDLs), which combine automated experimental hardware with computational experiment planning, have emerged as powerful tools for accelerating materials discovery. The intrinsic complexity created by their multitude of components requires an effective orchestration platform to ensure the…
Xinyue Yu, Helena Cockx, Ying Wang, Richard van Wezel + 2 more
Freezing of gait (FOG), a debilitating symptom of Parkinson’s disease, manifests in subtypes as shuffling, trembling, or akinesias, with occurrence and frequency varying across patients. While deep learning (DL) models show promise in FOG detection, their robustness and generalization across subtypes are limited by…
Xinyue Yu, Kaylena Ehgoetz Martens, Arash Arami
Freezing of gait (FOG), a disabling symptom of Parkinson’s disease, varies in presentations and motion context. Its heterogeneity motivates subtype categorization such as manifestation-specific subtypes (akinesia, trembling or shuffling) or motion-specific subtypes (gait-initiation, walking or turning). Despite…
Kamal Choudhary
SLMat is a serverless, browser-based toolkit that revolutionizes computational materials science by offering a scalable and efficient alternative to traditional server-based platforms like Google Colab. By eliminating the need for server management and providing persistent setups, SLMat enhances productivity and…