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This chapter proposes and provides an in-depth discussion of a scalable solution for running ensemble simulation for solar energy production. Generating a forecast ensemble is computationally expensive. But with the help of Analog Ensemble,…

Computational Engineering, Finance, and Science · Computer Science 2022-01-19 Weiming Hu , Guido Cervone , Matteo Turilli , Andre Merzky , Shantenu Jha

Demand response is a crucial technology to allow large-scale penetration of intermittent renewable energy sources in the electric grid. This paper is based on the thesis that datacenters represent especially attractive candidates for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-30 Josiah McClurg , Raghuraman Mudumbai

Cloud computing is a new computing paradigm which allows sharing of resources on remote server such as hardware, network, storage using internet and provides the way through which application, computing power, computing infrastructure can…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-01 Abu Salim , Rajesh Kumar Tiwari , Sachin Tripathi

The evolution of high-performance computing is associated with the growth of energy consumption. Performance of cluster computes (is increased via rising in performance and the number of used processors, GPUs, and coprocessors. An increment…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-23 E. A. Kiselev , P. N. Telegin , B. M. Shabanov

Efficient generation of cluster states is crucial for engineering large-scale measurement-based quantum computers. Hybrid matter-optical systems offer a robust, scalable path to this goal. Such systems have an ancilla which acts as a bus…

Quantum Physics · Physics 2023-04-21 Dominic Horsman , Katherine L. Brown , William J. Munro , Vivien M. Kendon

This article empirically examines the computational cost of solving a known hard problem, graph clustering, using novel purpose-built computer hardware. We express the graph clustering problem as an intra-cluster distance or dissimilarity…

Social and Information Networks · Computer Science 2020-03-10 Pierre Miasnikof , Seo Hong , Yuri Lawryshyn

The problem of clustering noisy and incompletely observed high-dimensional data points into a union of low-dimensional subspaces and a set of outliers is considered. The number of subspaces, their dimensions, and their orientations are…

Machine Learning · Statistics 2015-08-24 Reinhard Heckel , Helmut Bölcskei

Clustering is one of the major tasks in data mining. In the last few years, Clustering of spatial data has received a lot of research attention. Spatial databases are components of many advanced information systems like geographic…

Databases · Computer Science 2012-06-04 Mohamed A. El-Zawawy

Upon the expansion of Cloud Computing and the positive outlook of organizations with regard to the movements towards using cloud computing and their expanding utilization of such valuable processing method, as well as the solutions provided…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-30 Yaghoob Siahmargooei , Mohammad Kazem Akbari , Seyyed Alireza Hashemi Golpayegani , Saeed Sharifian

Distributed dataflow systems like Spark and Flink enable data-parallel processing of large datasets on clusters of cloud resources. Yet, selecting appropriate computational resources for dataflow jobs is often challenging. For efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-03 Jonathan Will , Lauritz Thamsen , Jonathan Bader , Odej Kao

This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is currently where the vast majority of academic research lies.…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-20 Adam Barker , Blesson Varghese , Jonathan Stuart Ward , Ian Sommerville

The Microgrid paradigm is gaining momentum as one of the key pieces of technology for expanding clean energy access and improving energy resilience. Most of the interest in this pertains to distinct entities that either generate electricity…

Networking and Internet Architecture · Computer Science 2023-11-29 Maitreyee Marathe , Giri Venkataramanan

Deep learning models have become increasingly popular for a wide range of applications, including computer vision, natural language processing, and speech recognition. However, these models typically require large amounts of computational…

Systems and Control · Electrical Eng. & Systems 2023-04-27 Salem Ameen , Kangaranmulle Siriwardana , Theo Theodoridis

The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. They need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

Many scientific high-throughput applications can benefit from the elastic nature of Cloud resources, especially when there is a need to reduce time to completion. Cost considerations are usually a major issue in such endeavors, with…

Networking and Internet Architecture · Computer Science 2021-07-21 Igor Sfiligoi , Michael Hare , David Schultz , Frank Würthwein , Benedikt Riedel , Tom Hutton , Steve Barnet , Vladimir Brik

Cloud computing is the new technology that has various advantages and it is an adoptable technology in this present scenario. The main advantage of the cloud computing is that this technology reduces the cost effectiveness for the…

Computers and Society · Computer Science 2012-04-10 N. Mallikharjuna Rao , C. Sasidhar , V. Sathyendra Kumar

Cloud computing has become an important means to speed up computing. One problem influencing heavily the performance of such systems is the choice of nodes as servers responsible for executing the users' tasks. In this article we report how…

This paper presents a stream-oriented architecture for structuring cluster applications. Clusters that run applications based on this architecture can scale to tenths of thousands of nodes with significantly less performance loss or…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Tassos S. Argyros , David R. Cheriton

Cloud computing is the next generation computing. Adopting the cloud computing is like signing up new form of a website. The GUI which controls the cloud computing make is directly control the hardware resource and your application. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-03-09 N. Ajith Singh , M. Hemalatha

Cloud based development is a challenging task for several software engineering projects, especially for those which needs development with reusability. Present time of cloud computing is allowing new professional models for using the…

Software Engineering · Computer Science 2012-11-01 Sukhpal Singh , Rishideep Singh