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Cloud providers offer a variety of execution platforms in form of bare-metal, VM, and containers. However, due to the pros and cons of each execution platform, choosing the appropriate platform for a specific cloud-based application has…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Davood Ghatreh Samani , Chavit Denninnart , Josef Bacik , Mohsen Amini Salehi

Air components, including UAVs, planes, balloons, and satellites have been widely utilized since the fixed capacity of ground infrastructure cannot meet the dynamic load of the users. However, since those air components should be…

Networking and Internet Architecture · Computer Science 2024-09-04 Baris Yamansavascilar , Atay Ozgovde , Cem Ersoy

Cloud computing has permeated into the information technology industry in the last few years, and it is emerging nowadays in scientific environments. Science user communities are demanding a broad range of computing power to satisfy the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-26 Álvaro López García , Enol Fernández-del-Castillo , Pablo Orviz Fernández , Isabel Campos Plasencia , Jesús Marco de Lucas

Cloud computing can and does mean different things to different people. The common characteristics most shares are on-demand secure access to metered services from nearly anywhere and dislocation of data from inside to outside the…

Networking and Internet Architecture · Computer Science 2012-02-08 Nidhi Bansal

Cloud computing (CC) is a centralized computing paradigm that accumulates resources centrally and provides these resources to users through Internet. Although CC holds a large number of resources, it may not be acceptable by real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-29 Muhammad Asim , Yong Wang , Kezhi Wang , Pei-Qiu Huang

Cloud services have been used very widely, but configuration of the parameters, including the efficient allocation of resources, is an important objective for the system architect. The article is devoted to solving the problem of choosing…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-06 Evgeny Nikulchev , Evgeniy Pluzhnik , Oleg Lukyanchikov , Dmitry Biryukov , Elena Andrianova

Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-21 Zohar Kapach , Andrew Ulmer , Daniel Merrick , Arshad Alikhan , Yung-Hsiang Lu , Anup Mohan , Ahmed S. Kaseb , George K. Thiruvathukal

In today's data-centric world, where data fuels numerous application domains, with machine learning at the forefront, handling the enormous volume of data efficiently in terms of time and energy presents a formidable challenge. Conventional…

Hardware Architecture · Computer Science 2024-01-29 Asif Ali Khan , João Paulo C. De Lima , Hamid Farzaneh , Jeronimo Castrillon

Simulation is a fundamental research tool in the computer architecture field. These kinds of tools enable the exploration and evaluation of architectural proposals capturing the most relevant aspects of the highly complex systems under…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-11 Adrian Colaso , Pablo Prieto , Jose-Angel Herrero , Pablo Abad , Valentin Puente , Jose-Angel Gregorio

Cloud computing promises a radical shift in the provisioning of computing resource within the enterprise. This paper describes the challenges that decision makers face when assessing the feasibility of the adoption of cloud computing in…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-08-12 Ali Khajeh-Hosseini , David Greenwood , James W. Smith , Ian Sommerville

Large-scale AI training and inference require hundreds of gigabytes to terabytes of DRAM with high peak to average utilization ratios, resulting in overprovisioning. In cloud computing, DRAM constitutes a significant share of the cost. Yet,…

Hardware Architecture · Computer Science 2026-05-28 Kaustav Goswami , Maryam Babaie , Hoa Nguyen , Venkatesh Akella , Jason Lowe-Power

The computing continuum, a novel paradigm that extends beyond the current silos of cloud and edge computing, can enable the seamless and dynamic deployment of applications across diverse infrastructures. By utilizing the cloud-native…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-19 Jacopo Marino , Fulvio Risso

Cloud Computing has been envisioned as the next generation architecture of IT Enterprise. The Cloud computing concept offers dynamically scalable resources provisioned as a service over the Internet. Economic benefits are the main driver…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-01 Geethu Thomas , Prem Jose , P. Afsar

In the cloud computing application area of accomplish, we find the fact that cloud computing covers a lot of areas are its main asset. At a top level, it is an approach to IT where many users, some even from different companies get access…

Networking and Internet Architecture · Computer Science 2012-03-13 Nidhi Bansal , Amit Awasthi

Workload predictions in cloud computing is obviously an important topic. Most of the existing publications employ various time series techniques, that might be difficult to implement. We suggest here another route, which has already been…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-12 Michel Fliess , Cédric Join , Maria Bekcheva , Alireza Moradi , Hugues Mounier

Cloud native computing paradigm allows microservice-based applications to take advantage of cloud infrastructure in a scalable, reusable, and interoperable way. However, in a cloud native system, the vast number of configuration parameters…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-30 Michel Gokan Khan , Javid Taheri , Auday Al-Dulaimy , Andreas Kassler

Cloud computing is a recent paradigm based around the notion of delivery of resources via a service model over the Internet. Despite being a new paradigm of computation, cloud computing owes its origins to a number of previous paradigms.…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-06-07 Jonathan Stuart Ward , Adam Barker

GPU architectures have become popular for executing general-purpose programs. Their many-core architecture supports a large number of threads that run concurrently to hide the latency among dependent instructions. In modern GPU…

Hardware Architecture · Computer Science 2024-01-19 Rodrigo Huerta , Mojtaba Abaie Shoushtary , Antonio González

Cloud computing is being viewed as the technology of today and the future. Through this paradigm, the customers gain access to shared computing resources located in remote data centers that are hosted by cloud providers (CP). This…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-20 Yasir Shoaib , Olivia Das

A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (IoT) applications are considered to be a major source of big data. Such IoT applications are in…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-02-23 Xuezhi Zeng , Saurabh Kumar Garg , Peter Strazdins , Prem Jayaraman , Dimitrios Georgakopoulos , Rajiv Ranjan
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