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Due to the pervasive diffusion of personal mobile and IoT devices, many ``smart environments'' (e.g., smart cities and smart factories) will be, among others, generators of huge amounts of data. Currently, this is typically achieved through…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-28 Lorenzo Valerio , Andrea Passarella , Marco Conti

Big data dictate their requirements to the hardware and software. Simple migration to the cloud data processing, while solving the problem of increasing computational capabilities, however creates some issues: the need to ensure the safety,…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-03 E. Nikulchev , E. Pluzhnik , D. Biryukov , O. Lukyanchikov , S. Payain

Modern data science research can involve massive computational experimentation; an ambitious PhD in computational fields may do experiments consuming several million CPU hours. Traditional computing practices, in which researchers use…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-28 Hatef Monajemi , Riccardo Murri , Eric Jonas , Percy Liang , Victoria Stodden , David L. Donoho

A large amount of data and applications are migrated by researchers, stakeholders, academia, and business organizations to the cloud environment due to its large variety of services, which involve the least maintenance cost, maximum…

Cryptography and Security · Computer Science 2023-06-16 Rishabh Gupta , Deepika Saxena , Ashutosh Kumar Singh

The development of a learning management system (LMS) as a key service seems to be very effective for creation of educational digital platforms. Such platforms for both higher education institutions and various companies can provide the…

Computers and Society · Computer Science 2018-07-02 Andrey Gorshenin

A common task in scientific computing is the derivation of data. This workflow extracts the most important information from large input data and stores it in smaller derived data objects. The derived data objects can then be used for…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-10 Tobias Wegner , Mario Lassnig , Peer Ueberholz , Christian Zeitnitz

Training and deploying deep learning models in real-world applications require processing large amounts of data. This is a challenging task when the amount of data grows to a hundred terabytes, or even, petabyte-scale. We introduce a hybrid…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-17 Davit Buniatyan

Astronomy produces extremely large data sets from ground-based telescopes, space missions, and simulation. The volume and complexity of these rich data sets require new approaches and advanced tools to understand the information contained…

Instrumentation and Methods for Astrophysics · Physics 2014-02-25 Demitri Muna , Eric Huff

The large number of reasonably priced computers, Internet broadband connectivity and rich education content has created a global phenomenon by which information and communication technology (ICT) has used to remodel education. E-learning…

Computers and Society · Computer Science 2017-07-11 Ahmad Tasnim Siddiqui , Mehedi Masud

The article discusses the prospects of the augmented reality using as a component of a cloud-based environment. The research goals are the next: to explore the possibility of the augmented reality using with the involvement of the…

Computers and Society · Computer Science 2018-12-04 Maiia V. Popel , Mariya P. Shyshkina

As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Rajkumar Buyya , Rodrigo N. Calheiros , Xiaorong Li

Progress in science is deeply bound to the effective use of high-performance computing infrastructures and to the efficient extraction of knowledge from vast amounts of data. Such data comes from different sources that follow a cycle…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-15 Rosa M Badia , Jorge Ejarque , Francesc Lordan , Daniele Lezzi , Javier Conejero , Javier Álvarez Cid-Fuentes , Yolanda Becerra , Anna Queralt

In the world of Information Technology, new computing paradigms, driven by requirements of different classes of problems and applications, emerge rapidly. These new computing paradigms pose many new research challenges. Researchers from…

Computers and Society · Computer Science 2022-01-28 Rajkumar Buyya , Sukhpal Singh Gill , Satish Narayana Srirama , Rami Bahsoon , San Murugesan

This paper discusses approaches and environments for carrying out analytics on Clouds for Big Data applications. It revolves around four important areas of analytics and Big Data, namely (i) data management and supporting architectures;…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-08-28 Marcos D. Assuncao , Rodrigo N. Calheiros , Silvia Bianchi , Marco A. S. Netto , Rajkumar Buyya

Cloud computing is gaining more and more traction as a deployment and provisioning model for software. While a large body of research already covers how to optimally operate a cloud system, we still lack insights into how professional…

Software Engineering · Computer Science 2015-03-18 Jürgen Cito , Philipp Leitner , Thomas Fritz , Harald C. Gall

The Cloud Computing concept offers dynamically scalable resources provisioned as a service over the Internet.Economic benefits are the main driver for the Cloud, since it promises the reduction of capital expenditure and operational…

Cryptography and Security · Computer Science 2013-08-29 Harit Shah , Sharma Shankar Anandane , Shrikanth

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

Cloud applications today deliver an increasingly larger portion of the Information and Communication Technology (ICT) services. To address the scale, growth, and reliability of cloud applications, self-aware management and scheduling are…

The abundance of multimedia data and information is challenging educators to effectively search, browse, access, use, and store the data for their classroom teaching. However, many educators could still be accustomed to teaching or…

Multimedia · Computer Science 2011-03-01 Chien Yu , Teri Brandenburg

In this article are discussed some problems in developing software related to the management of information flows. We presented the basic stages in their development. We bold a methodology for conceptual modeling and design of information…

Software Engineering · Computer Science 2016-06-09 Radoslva Kraleva , Velin Kralev
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