Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Daniel Balouek"'
Autor:
Manish Parashar, Muhammad Intizar Ali, Omer Rana, Daniel Balouek-Thomert, Ali Reza Zamani, Ashiq Anjum
Publikováno v:
IEEE Transactions on Cloud Computing. 10:792-804
With increasing availability and use of Internet of Things (IoT) devices large amounts of streaming data is now being produced at high velocity. Applications which require low latency response such as video surveillance demand a swift and efficient a
Autor:
Daniel Balouek-Thomert
Goal: Integrate knowledge and data from multiple sources across geo-distributed heterogeneous resources to support decision-making.; Characteristics and requirements of Urgent Computing; Programming data-driven pipelines over the Edge-to-cloud contin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d742bb469a45d880f9e0186e936e63f
Publikováno v:
IEEE Internet Computing. 25:21-29
With the increasing availability of edge computing resources, there is a need to develop edge orchestration and resource management techniques to support application resilience and performance. Similar to the use of containers and microservices for c
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 48:41-46
Urgent science describes time-critical, data-driven scientific work-flows that can leverage distributed data sources in a timely way to facilitate important decision making. While our capacity for generating data is expanding dramatically, our abilit
Publikováno v:
Future Generation Computer Systems. 110:107-118
One of the major endeavors of modern cyberinfrastructure (CI) is to carry content produced on remote data sources, such as sensors and scientific instruments, and to deliver it to end users and workflow applications. Maintaining data quality, data re
Publikováno v:
2021 IEEE/ACM HPC for Urgent Decision Making (UrgentHPC).
Publikováno v:
IC3
The Internet of Things fosters an emerging class of analytics that connects sensors, vehicles, industries, and consumers through the internet to enable scientific and industrial applications. These services require a large computing capacity to perfo
Autor:
Samantha Alt, James C. Browne, Arshad Jhumka, Manish Parashar, Daniel Balouek-Thomert, Edward Chuah
Publikováno v:
Journal of Parallel and Distributed Computing. 132:95-112
Failure analysis plays an important role in the reliability of data centers and high-performance computing (HPC) systems. Recent work have shown that both resource use data and failure logs can, separately and together, be used to detect system failu
Autor:
Eduard Gibert Renart, Manish Parashar, Daniel Balouek-Thomert, Anthony Simonet, Ali Reza Zamani
Publikováno v:
The International Journal of High Performance Computing Applications. 33:1159-1174
Dramatic changes in the technology landscape marked by increasing scales and pervasiveness of compute and data have resulted in the proliferation of edge applications aimed at effectively processing data in a timely manner. As the levels and fidelity
Autor:
Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardelli, Pierangelo Di Sanzo
This book constitutes revised selected papers from the workshops held at the 29th International Conference on Parallel and Distributed Computing, Euro-Par 2023, which took place in Limassol, Cyprus, during August 28–September 1, 2023. The 42 full p