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This report summarizes the envisioned research activities as gathered from the Snowmass 2021 CF5 working group concerning Dark Energy and Cosmic Acceleration: Cosmic Dawn and Before. The scientific goals are to study inflation and to search…

Here we present the results of the NSF-funded Workshop on Computational Topology, which met on June 11 and 12 in Miami Beach, Florida. This report identifies important problems involving both computation and topology.

Infrastructures supporting distributed scientific collaborations must address competing goals in both providing high-performance access to resources while simultaneously securing the infrastructure against security threats. The NetBASILISK…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-08 Jem Guhit , Edward Colone , Shawn McKee , Kris Steinhoff , Katarina Thomas

Edge Computing is a new distributed Cloud Computing paradigm in which computing and storage capabilities are pushed to the topological edge of a network. However, various standards and implementations are promoted by different initiatives.…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-13 Andrea Hamm , Alexander Willner , Ina Schieferdecker

In this expository paper we will be primarily concerned with core aspects of Grids and Grid computing using free and open-source software with some emphasis on utility computing. It is based on a technical report entitled 'Grid-Computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-07-20 A. Mani

Shared research infrastructure that is globally distributed and widely accessible has been a hallmark of the networking community. This paper presents an initial snapshot of a vision for a possible future of mid-scale distributed research…

In this report we summarize the work performed at Snowmass 2001 on the physics of extra dimensions. We divide these analyses into the following classes: searches for extra dimensional phenomena, identification of specific new physics…

High Energy Physics - Phenomenology · Physics 2007-05-23 Gabriella Pasztor , Thomas G. Rizzo

The present manuscript concentrates on the application of Fog computing to a Smart Grid Network that comprises of a Distribution Generation System known as a Microgrid. It addresses features and advantages of a smart grid. Two computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-29 Rabindra K. Barik , Satish Kumar Gudey , Gujji Giridhar Reddy , Meenakshi Pant , Harishchandra Dubey , Kunal Mankodiya , Vinay Kumar

We document the data transfer workflow, data transfer performance, and other aspects of staging approximately 56 terabytes of climate model output data from the distributed Coupled Model Intercomparison Project (CMIP5) archive to the…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-28 Eli Dart , Michael F. Wehner , Prabhat

Quantum computing will play a pivotal role in the High Energy Physics (HEP) science program over the early parts of the 21$^{st}$ Century, both as a major expansion of our capabilities across the Computational Frontier, and in synthesis…

Quantum Physics · Physics 2022-09-15 Travis S. Humble , Gabriel N. Perdue , Martin J. Savage

Careful preservation of experimental data, simulations, analysis products, and theoretical work maximizes their long-term scientific return on investment by enabling new analyses and reinterpretation of the results in the future. Key…

Computational Physics · Physics 2022-09-20 Stephen Bailey , K. S. Cranmer , Matthew Feickert , Rob Fine , Sabine Kraml , Clemens Lange

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 1 contains the Executive Summary and the…

Internet of Things typically involves a significant number of smart sensors sensing information from the environment and sharing it to a cloud service for processing. Various architectural abstractions, such as Fog and Edge computing, have…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-08 Nitinder Mohan , Jussi Kangasharju

The EU DataGrid project workpackage 4 has as an objective to provide the necessary tools for automating the management of medium size to very large computing fabrics. At the end of the second project year subsystems for centralized…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-11-26 Olof Barring

Fog data processing systems provide key abstractions to manage data and event processing in the geo-distributed and heterogeneous fog environment. The lack of standardized benchmarks for such systems, however, hinders their development and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-26 Tobias Pfandzelter , David Bermbach

In this position paper we describe the current status and plans for a Swiss National Research Infrastructure. Swiss academic and research institutions are very autonomous. While being loosely coupled, they do not rely on any centralized…

This paper discusses some generic approach for developing grid-based framework for enabling establishment of workflows comprising existing software in computational sciences areas. We highlight the main requirements addressed the developing…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-21 Vladimir Berezovsky , Alexander Popov

We review how theorists have been instrumental in launching and developing new experiments in the last decade, and comment on the challenges and opportunities for this program to continue to thrive going forward. This whitepaper is a…

High Energy Physics - Phenomenology · Physics 2022-03-21 Rouven Essig , Yonatan Kahn , Simon Knapen , Andreas Ringwald , Natalia Toro

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-24 Redowan Mahmud , Ramamohanarao Kotagiri , Rajkumar Buyya