21 papers · ranked by Valyu relevance
Matthias Becker, Milind Chabbi, Stefanie Warnat-Herresthal, Kathrin Klee + 9 more
Next generation sequencing (NGS) is the driving force behind precision medicine and is revolutionizing most, if not all, areas of the life sciences. Particularly when targeting the major common diseases, an exponential growth of NGS data is foreseen for the next decades. This enormous increase of NGS data and the need…
Noa Zilberman, Andrew W. Moore, Jon A. Crowcroft
Computer architectures have entered a watershed as the quantity of network data generated by user applications exceeds the data-processing capacity of any individual computer end-system. It will become impossible to scale existing computer systems while a gap grows between the quantity of networked data and the…
Konstantin Pilz, Lennart Heim
This report characterizes the data center industry and its importance for AI development. Data centers are industrial facilities that efficiently provide compute at scale and thus constitute the engine rooms of today's digital economy. As large-scale AI training and inference become increasingly computationally…
Blesson Varghese, Rajkumar Buyya
The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving. In this paper, we firstly discuss the changing cloud…
Damián Fernández-Cerero, Jorge Yago Fernández-Rodríguez, Juan A. Álvarez-García, Luis M. Soria-Morillo + 1 more
'Juan A. Álvarez-García' 'Luis M. Soria-Morillo' 'Alejandro Fernández-Montes'] The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised cloud-computing data centres present various challenges to meet the requirements inherent to Internet of Things (IoT)…
Yogesh Simmhan
- Fog Computing A model of distributed computing comprising of virtualized, heterogeneous, commodity computing and storage resources for hosting applications, analytics, content and services, that are accessible with low latency from the edge of wide area networks where clients are present, while also having back-end…
Shashikant Ilager, Rajkumar Buyya
This paper investigates the existing resource management approaches in Cloud Data Centres for energy and thermal efficiency. It identifies the need for integrated computing and cooling systems management and learning-based solutions in resource management systems. A taxonomy on energy and thermal efficient resource…
Hyun-Jong Cha, Ho-Kyung Yang, You-Jin Song
It is expected that the number of devices connecting to the Internet-of-Things (IoT) will increase geometrically in the future, with improvement of their functions. Such devices may create a huge amount of data to be processed in a limited time. Under the IoT environment, data management should play the role of an…
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…
Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige + 1 more
'Raghavendra Rao Chillarige' 'Rajkumar Buyya'] Abstract- Advances in information technology and its widespread growth in several areas of business, engineering, medical and scientific studies are resulting in information/data explosion. Knowledge discovery and decision making from such rapidly growing voluminous data…
Rebecca Brunk, Kriti Shukla, Bryant Hutson, Yue Wang + 7 more
Genomic sequencing and other big biological data is unquestionably of paramount value, however the success in recruiting highly skilled individuals with diverse backgrounds has been limited. A main reason for this deficiency could be due to the lack of educational resources and early exposure to the field. With the…
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…
Andrew McCluskey, Miguel Rivera, Antonia Mey
The role of computing in the chemical sciences is changing. Previously the domain of the theoretical or computational chemist, advanced digital skills, including data analysis and simulation, are becoming extremely relevant to all. Here, we discuss the importance of integrating computing and digital skills into an…
Tyson L. Swetnam, Parker B. Antin, Ryan Bartelme, Alexander Bucksch + 44 more
CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life sciences, has played a crucial role in advancing data-driven research since the 2010s. As the technology landscape evolved with the emergence of cloud computing platforms, machine learning and artificial intelligence (AI)…
A. A. Periola, A. A. Alonge, K. A. Ogudo
Computing platforms have a high water footprint that poses threat to biodiversity preservation. The high water footprint reduces water availability for habitat preservation. Hence, approaches that reduce the water footprint are needful. The presented research proposes an approach that reduces the need for water in…
David Mayer, Seth Russell, Melissa P. Wilson, Michael G. Kahn + 1 more
One of the challenges of teaching applied data science courses is managing individual students’ local computing environment. This is especially challenging when teaching massively open online courses (MOOCs) where students come from across the globe and have a variety of access to and types of computing systems. There…
Yannick Spreen, Maximilian Miller
The applicability and reproducibility of bioinformatics methods and results often depend on the structure and software architecture of their development. Exponentially growing data sets require ever more optimization and performance with conventional computing capacities lacking this process. This creates a large…
Brian S. Cole, Jason H. Moore, Francis Ouellette
Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards…
Chet Birger, Megan Hanna, Edward Salinas, Jason Neff + 11 more
FireCloud, one of three NCI Cloud Pilots, is a collaborative genome analysis platform built on a cloud computing infrastructure. FireCloud aims to solve the many challenges presented by the increasingly large data sets and computing requirements employed in cancer research. However, cost uncertainty associated with…
Authors not listed
Machine learning models are transforming data-driven research across scientific disciplines, yet their deployment as accessible and reliable web services remains a significant challenge. We introduce the NERDD framework, a scalable, maintainable, and secure microservices platform designed to support the sustainable…
Ben C. Shirley, Eliseos J. Mucaki, Joan H.M. Knoll, Peter K. Rogan
Rapid sample processing and interpretation of estimated exposures will be critical for triaging exposed individuals after a major radiation incident. The dicentric chromosome (DC) assay assesses absorbed radiation using metaphase cells from blood. The Automated Dicentric Chromosome Identifier and Dose Estimator System…