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Computing systems have been evolving to be more pervasive, heterogeneous, and dynamic. An increasing number of emerging domains now rely on diverse edge to cloud continuum where the execution of applications often spans various tiers of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-27 Ismet Dagli , Amid Morshedlou , Jamal Rostami , Mehmet E. Belviranli

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible…

Cryptography and Security · Computer Science 2015-06-04 Rohit Bhadauria , Sugata Sanyal

The increasing number of edge devices with enhanced sensing capabilities, such as smartphones, wearables, and IoT devices equipped with sensors, holds the potential for innovative smart-edge applications in healthcare. These devices…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-29 Patrick Langer , Elgar Fleisch , Filipe Barata

An increasing amount of data is being injected into the network from IoT (Internet of Things) applications. Many of these applications, developed to improve society's quality of life, are latency-critical and inject large amounts of data…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-13 Patricia Arroba , Rajkumar Buyya , Román Cárdenas , José L. Risco-Martín , José M. Moya

Edge computing can be defined as an emerging technology that uses cloud computing to leverage edge data centers to process, store, and analyze data close to the source. Traditional cloud computing architectures are not designed for…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-26 Vivek Basavegowda Ramu

Moving from a National Grid Testbed to a Production quality Grid service for the HEP applications requires an effective operations structure and organization, proper user and operations support, flexible and efficient management and…

Data Analysis, Statistics and Probability · Physics 2007-05-23 Maria Cristina Vistoli , Luciano Gaido , Federico Calzolari

Huge amounts of data being generated continuously by digitally interconnected systems of humans, organizations and machines. Data comes in variety of formats including structured, unstructured and semi-structured, what makes it impossible…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-31 Abzetdin Adamov

Cyber-physical systems increasingly rely on distributed computing platforms where sensing, computing, actuation, and communication resources are shared by a multitude of applications. Such `cyber-physical cloud computing platforms' present…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-03 Gabor Karsai , Daniel Balasubramanian , Abhishek Dubey , William R. Otte

Edge Computing exploits computational capabilities deployed at the very edge of the network to support applications with low latency requirements. Such capabilities can reside in small embedded devices that integrate dedicated hardware --…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-11 Ayoub Ben-Ameur , Andrea Araldo , Francesco Bronzino

Pervasive applications are revolutionizing the perception that users have towards the environment. Indeed, pervasive applications perform resource intensive computations over large amounts of stream sensor data collected from multiple…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-01-01 Mohan Liyanage , Farooq Dar , Rajesh Sharma , Huber Flores

The popularity and wide spread of IoT technology has brought about a rich hardware infrastructure over which it is possible to run powerful applications that were not previously imagined. Among this infrastructure, there are the medical…

Computers and Society · Computer Science 2019-01-07 Imad Eddine Touahria

Workflow management systems allow the users to develop complex applications at a higher level, by orchestrating functional components without handling the implementation details. Although a wide range of workflow engines are developed in…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-10-06 Alexandru Costan , Corina Stratan , Eliana-Dina Tirsa , Mugurel Ionut Andreica , Valentin Cristea

In scientific computing, more computational power generally implies faster and possibly more detailed results. The goal of this study was to develop a framework to submit computational jobs to powerful workstations underused by nonintensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-23 Áttila L. Rodrigues , João Felipe C. L. Costa

The challenge to fully exploit the potential of existing and upcoming scientific instruments like large single-dish radio telescopes is to process the collected massive data effectively and efficiently. As a "quasi 2D stencil computation"…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-12 Hao Wang , Ce Yu , Jian Xiao , Shanjiang Tang , Min Long , Ming Zhu

Decentralized services and applications provide a multitude of advantages for their users, such as improved privacy, control, and independence from third parties. Anyhow, decentralization comes at the cost of certain disadvantages, such as…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-01 Sebastian Göndör , Hakan Yildiz , Martin Westerkamp , Axel Küpper

Recent developments in the industry of personal computing led to a greater number of the so-called edge devices. Such devices typically do not collaborate or foresee the possibility of collaboration to offer aggregated storage and computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-17 R. Copstein , F. Dotti

In edge computing deployments, where devices may be in close proximity to each other, these devices may offload similar computational tasks (i.e., tasks with similar input data for the same edge computing service or for services of the same…

Networking and Internet Architecture · Computer Science 2022-04-04 Md Washik Al Azad , Spyridon Mastorakis

Serverless computing is an emerging cloud computing abstraction wherein the cloud platform transparently manages all resources, including explicitly provisioning resources and geographical load balancing when the demand for service spikes.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-06 Jayden Serenari , Sreekanth Sreekumar , Kaiwen Zhao , Saurabh Sarkar , Stephen Lee

TriCloudEdge is a scalable three-tier cloud continuum that integrates far-edge devices, intermediate edge nodes, and central cloud services, working in parallel as a unified solution. At the far edge, ultra-low-cost microcontrollers can…

Networking and Internet Architecture · Computer Science 2026-02-17 George Violettas , Lefteris Mamatas

The Grid and Cloud User Support Environment (gUSE) enables users convenient and easy access to grid and cloud infrastructures by providing a general purpose, workflow-oriented graphical user interface to create and run workflows on various…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-07 Gary A. McGilvary , Malcolm Atkinson , Sandra Gesing , Alvaro Aguilera , Richard Grunzke , Eva Sciacca