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High Performance Computing (HPC) has evolved over the past decades into increasingly complex and powerful systems. Current HPC systems consume several MWs of power, enough to power small towns, and are in fact soon approaching the limits of…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-04-11 Ivan Rodero , Manish Parashar

The steady growth of artificial intelligence (AI) has accelerated in the recent years, facilitated by the development of sophisticated models such as large language models and foundation models. Ensuring robust and reliable power…

Artificial Intelligence · Computer Science 2025-10-14 Andrea Marinoni , Sai Shivareddy , Pietro Lio' , Weisi Lin , Erik Cambria , Clare Grey

Many enterprise software systems supporting IT services are characterised by a need for a high computing capability and resource consumption (Armbrust et al. 2010; Buyya et al. 2008; Ko\c{c}ak et al. 2013). Cloud Computing initiatives have…

Software Engineering · Computer Science 2021-09-07 Mahdi Fahmideh , Graham Low , Ghassan Beydoun

Resource discovery is one of the most important services that significantly affects the efficiency of grid computing systems. The inherent dynamic and large-scale characteristics of grid environments make their resource discovery a…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-13 Mahdi MollaMotalebi , Raheleh Maghami , Abdul Samad Ismail , Alireza Poshtkohi

Cloud computing has become the de facto paradigm for delivering software to system users, with organizations and enterprises of all sizes making use of cloud services in some way. On the surface, adopting the cloud appears to be a very…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-19 Richard Westerhof , Richard Atherton , Vasilios Andrikopoulos

The rapid growth of artificial intelligence (AI) is driving an unprecedented increase in the electricity demand of AI data centers, raising emerging challenges for electric power grids. Understanding the characteristics of AI data center…

Systems and Control · Electrical Eng. & Systems 2025-11-27 Xin Chen , Xiaoyang Wang , Ana Colacelli , Matt Lee , Le Xie

In recent years, due to the unnecessary wastage of electrical energy in residential buildings, the requirement of energy optimization and user comfort has gained vital importance. In the literature, various techniques have been proposed…

Other Computer Science · Computer Science 2019-04-23 Abdul Salam Shah , Haidawati Nasir , Muhammad Fayaz , Adidah Lajis , Asadullah Shah

Due to the evolving Cloud Computing paradigm, there is a prevailing concern that in the near future data center managers may be in short supply. Cloud computing, as a whole, is becoming more prevalent into today s computing world. In fact,…

Computers and Society · Computer Science 2014-04-09 Timur Mirzoev , Bruce Benson , David Hillhouse , Mickey Lewis

Computing is at a moment of profound opportunity. Emerging applications -- such as capable artificial intelligence, immersive virtual realities, and pervasive sensor systems -- drive unprecedented demand for computer. Despite recent…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-22 Benjamin C. Lee , David Brooks , Arthur van Benthem , Udit Gupta , Gage Hills , Vincent Liu , Benjamin Pierce , Christopher Stewart , Emma Strubell , Gu-Yeon Wei , Adam Wierman , Yuan Yao , Minlan Yu

Energy management decreases energy expenditures and consumption while simultaneously increasing energy efficiency, reducing carbon emissions, and enhancing operational performance. Smart grids are a type of sophisticated energy…

In Cloud Computing platforms the addition of hardware monitoring devices to gather power usage data can be impractical or uneconomical due to the large number of machines to be metered. CloudMonitor, a monitoring tool that can generate…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 James William Smith , Ali Khajeh-Hosseini , Jonathan Stuart Ward , Ian Sommerville

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

Energy consumption of software applications has emerged as a critical concern for developers to contemplate in their daily development processes. Previous studies have surveyed a limited number of developers to understand their viewpoints…

Software Engineering · Computer Science 2025-11-18 Bihui Jin , Heng Li , Pengyu Nie , Ying Zou

Massive data centers housing thousands of computing nodes have become commonplace in enterprise computing, and the power consumption of such data centers is growing at an unprecedented rate. Adding to the problem is the inability of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-13 Balaji Subramaniam , Wu-chun Feng

Edge computing brings several advantages, such as reduced latency, increased bandwidth, and improved locality of traffic. One aspect that is not sufficiently understood is to what extent the different communication latency experienced in…

Networking and Internet Architecture · Computer Science 2023-07-18 Chiara Caiazza , Silvia Giordano , Valerio Luconi , Alessio Vecchio

Energy efficiency is a corner stone of sustainability in data center and high-performance networking. However, at present there is a notable structural mismatch between network silicon development targets and network equipment utilization…

Networking and Internet Architecture · Computer Science 2011-09-06 Daniel Kharitonov

To improve the environmental implications of the growing demand of computing, future applications need to improve the carbon-efficiency of computing infrastructures. State-of-the-art approaches, however, do not consider the intermittent…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-04 Young Geun Kim , Udit Gupta , Andrew McCrabb , Yonglak Son , Valeria Bertacco , David Brooks , Carole-Jean Wu

Power consumption (supply, heat, cost) and associated carbon emissions (environmental impact) are increasingly critical challenges in scaling supercomputing to Exascale and beyond. We proposes to exploit stranded power, renewable energy…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-07-08 Fan Yang , Andrew A. Chien

Can cloud computing infrastructures provide HPC-competitive performance for scientific applications broadly? Despite prolific related literature, this question remains open. Answers are crucial for designing future systems and democratizing…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-09 Giulia Guidi , Marquita Ellis , Aydin Buluc , Katherine Yelick , David Culler

There exist multitudes of cloud performance metrics, including workload performance, application placement, software/hardware optimization, scalability, capacity, reliability, agility and so on. In this paper, we consider jointly optimizing…

Performance · Computer Science 2016-11-24 Li Chen , Colin Cunningham , Pooja Jain , Chenggang Qin , Kingsum Chow