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Related papers: Unit Commitment on the Cloud

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The ongoing convergence of HPC and cloud computing presents a fundamental challenge: HPC applications, designed for static and homogeneous supercomputers, are ill-suited for the dynamic, heterogeneous, and volatile nature of the cloud.…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-17 Aditya Bhosale , Advait Tahilyani , Laxmikant Kale , Sara Kokkila-Schumacher

The recent growth of Artificial Intelligence (AI), particularly large language models, requires energy-demanding high-performance computing (HPC) data centers, which poses a significant burden on power system capacity. Scheduling data…

Systems and Control · Electrical Eng. & Systems 2024-12-17 Yihong Zhou , Angel Paredes , Chaimaa Essayeh , Thomas Morstyn

Unit commitment and load dispatch problems are important and complex problems in power system operations that have being traditionally solved separately. In this paper, both problems are solved together without approximations or…

Computers and Society · Computer Science 2019-03-25 Danilo Vasconcellos Vargas , Junichi Murata , Hirotaka Takano

Wind generation is traditionally treated as a non-dispatchable resource and is fully absorbed unless there are security issues. To tackle the operational reliability issues caused by the volatile and non-dispatchable wind generation, many…

Optimization and Control · Mathematics 2015-11-13 Cheng Wang , Feng Liu , Feng Qiu , Wei Wei , Jianhui Wang , Shengwei Mei

The next generation of High Energy Physics experiments are expected to generate exabytes of data---two orders of magnitude greater than the current generation. In order to reliably meet peak demands, facilities must either plan to provision…

Quantum cloud computing is an emerging paradigm of computing that empowers quantum applications and their deployment on quantum computing resources without the need for a specialized environment to host and operate physical quantum…

Emerging Technologies · Computer Science 2024-04-18 Hoa T. Nguyen , Prabhakar Krishnan , Dilip Krishnaswamy , Muhammad Usman , Rajkumar Buyya

Research in compute resource management for cloud-native applications is dominated by the problem of setting optimal CPU limits -- a fundamental OS mechanism that strictly restricts a container's CPU usage to its specified CPU-limits .…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-23 Chirag Shetty , Sarthak Chakraborty , Hubertus Franke , Larisa Shwartz , Chandra Narayanaswami , Indranil Gupta , Saurabh Jha

Artificial intelligence (AI) and Machine learning (ML) workloads are an increasingly larger share of the compute workloads in traditional High-Performance Computing (HPC) centers and commercial cloud systems. This has led to changes in…

Despite the de-facto technological uniformity fostered by the cloud and edge computing paradigms, resource fragmentation across isolated clusters hinders the dynamism in application placement, leading to suboptimal performance and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-26 Marco Iorio , Fulvio Risso , Alex Palesandro , Leonardo Camiciotti , Antonio Manzalini

Rising trends in the number of customers turning to the cloud for their computing needs has made effective resource allocation imperative for cloud service providers. In order to maximize profits and reduce waste, providers have started to…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-06 Rachel Householder , Scott Arnold , Robert Green

Cloud computing creates new possibilities for control applications by offering powerful computation and storage capabilities. In this paper, we propose a novel cloud-assisted model predictive control (MPC) framework in which we…

Systems and Control · Electrical Eng. & Systems 2021-06-22 Nan Li , Kaixiang Zhang , Zhaojian Li , Vaibhav Srivastava , Xiang Yin

This paper examines the workload distribution challenges in centralized cloud systems and demonstrates how Hybrid Edge Cloud (HEC) [1] mitigates these inefficiencies. Workloads in cloud environments often follow a Pareto distribution, where…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-30 Siavash Alamouti

Failure rates in high performance computers rapidly increase due to the growth in system size and complexity. Hence, failures became the norm rather than the exception. Different approaches on high performance computing (HPC) systems have…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-15 Siavash Ghiasvand , Florina M. Ciorba

The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and…

As the use of crowdsourcing increases, it is important to think about performance optimization. For this purpose, it is possible to think about each worker as a HPU(Human Processing Unit), and to draw inspiration from performance…

Human-Computer Interaction · Computer Science 2016-10-17 Chen Cao , Zheng Liu , Lei Chen , H. V. Jagadish

High performance computing clusters operating in shared and batch mode pose challenges for processing sensitive data. In the meantime, the need for secure processing of sensitive data on HPC system is growing. In this work we present a…

Cryptography and Security · Computer Science 2021-03-30 Michel Scheerman , Narges Zarrabi , Martijn Kruiten , Maxime Mogé , Lykle Voort , Annette Langedijk , Ruurd Schoonhoven , Tom Emery

When you first heard people speak of Piles of PCs, the first thing that came to mind may have been a cluttered computer room with processors, monitors, and snarls of cables all around. Collections of computers have undoubtedly become more…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Mark Baker , Rajkumar Buyya , Dan Hyde

By acquiring cloud-like capacities at the edge of a network, edge computing is expected to significantly improve user experience. In this paper, we formulate a hybrid edge-cloud computing system where an edge device with limited local…

Information Theory · Computer Science 2020-01-27 Thinh Quang Dinh , Ben Liang , Tony Q. S. Quek , Hyundong Shin

The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-10 Sukhpal Singh Gill , Rajkumar Buyya

For various reasons including those related to climate changes, {\em energy} has become a critical concern in all relevant activities and technical designs. For the specific case of computer activities, the problem is exacerbated with the…

Computers and Society · Computer Science 2026-02-18 Roblex Nana , Claude Tadonki , Petr Dokladal , Youssef Mesri
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