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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…

分布式、并行与集群计算 · 计算机科学 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

Cloud computing has become a critical infrastructure for modern society, like electric power grids and roads. As the backbone of the modern economy, it offers subscription-based computing services anytime, anywhere, on a pay-as-you-go…

分布式、并行与集群计算 · 计算机科学 2023-07-21 Rajkumar Buyya , Shashikant Ilager , Patricia Arroba

We analyze how both traditional data center integration and dispatchable load integration affect power grid efficiency. We use detailed network models, parallel optimization solvers, and thousands of renewable generation scenarios to…

最优化与控制 · 数学 2016-06-02 Kibaek Kim , Fan Yang , Victor M. Zavala , Andrew A. Chien

The overall performance of the development of computing systems has been engrossed on enhancing demand from the client and enterprise domains. but, the intake of ever-increasing energy for computing systems has commenced to bound in…

分布式、并行与集群计算 · 计算机科学 2018-10-18 Syed Arshad Ali , Mohammad Affan , Mansaf Alam

The energy consumption of an exascale High-Performance Computing (HPC) supercomputer rivals that of tens of thousands of people in terms of electricity demand. Given the substantial energy footprint of exascale HPC systems and the…

最优化与控制 · 数学 2024-04-05 Luc Angelelli , Danilo Carastan-Santos , Pierre-François Dutot

For current High Performance Computing systems to scale towards the holy grail of ExaFLOP performance, their power consumption has to be reduced by at least one order of magnitude. This goal can be achieved only through a combination of…

分布式、并行与集群计算 · 计算机科学 2016-06-01 Alina Sîrbu , Ozalp Babaoglu

Our increasing reliance on the cloud has led to the emergence of scale-out workloads. These scale-out workloads are latency-sensitive as they are user driven. In order to meet strict latency constraints, they require massive computing…

分布式、并行与集群计算 · 计算机科学 2015-01-13 Balaji Subramaniam , Wu-chun Feng

The basic idea behind Cloud computing is that resource providers offer elastic resources to end users. In this paper, we intend to answer one key question to the success of Cloud computing: in Cloud, can small or medium-scale scientific…

分布式、并行与集群计算 · 计算机科学 2010-04-09 Lei Wang , Jianfeng Zhan , Weisong Shi , Yi Liang

The demand for computing is continuing to grow exponentially. This growth will translate to exponential growth in computing's energy consumption unless improvements in its energy-efficiency can outpace increases in its demand. Yet, after…

计算机与社会 · 计算机科学 2022-07-04 Noman Bashir , David Irwin , Prashant Shenoy , Abel Souza

In the context of the global energy ecosystem transformation, we introduce a new approach to reduce the carbon emissions of the cloud-computing sector and, at the same time, foster the deployment of small-scale private photovoltaic plants.…

计算机与社会 · 计算机科学 2021-02-16 Borja Martinez , Xavier Vilajosana

Energy efficiency is of paramount importance for the sustainability of HPC systems. Energy consumption limits the peak performance of supercomputers and accounts for a large share of total cost of ownership. Consequently, system owners and…

分布式、并行与集群计算 · 计算机科学 2020-07-30 Andrea Borghesi , Andrea Bartolini , Michela Milano , Luca Benini

Today, many scientific and engineering areas require high performance computing to perform computationally intensive experiments. For example, many advances in transport phenomena, thermodynamics, material properties, computational…

分布式、并行与集群计算 · 计算机科学 2016-07-15 K. G. Kapanova , J. M. Sellier

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…

分布式、并行与集群计算 · 计算机科学 2022-12-23 E. A. Kiselev , P. N. Telegin , B. M. Shabanov

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…

Recent trends of technology have explored a numerous applications of cloud services, which require a significant amount of energy. In the present scenario, most of the energy sources are limited and have a greenhouse effect on the…

分布式、并行与集群计算 · 计算机科学 2025-12-15 Sohan Kumar Pande , Sanjaya Kumar Panda , Preeti Ranjan Sahu

The rapid development of renewable energy in the energy Internet is expected to alleviate the increasingly severe power problem in data centers, such as the huge power costs and pollution. This paper focuses on the eco-friendly power cost…

网络与互联网体系结构 · 计算机科学 2018-11-28 Chunlei Sun , Xiangming Wen , Zhaoming Lu , Wenpeng Jing , Michele Zorzi

An increasing amount of data is being injected into the network from IoT (Internet of Things) applications. Many of these applications, developed to improve society's quality of life, are latency-critical and inject large amounts of data…

分布式、并行与集群计算 · 计算机科学 2024-05-13 Patricia Arroba , Rajkumar Buyya , Román Cárdenas , José L. Risco-Martín , José M. Moya

Major innovations in computing have been driven by scaling up computing infrastructure, while aggressively optimizing operating costs. The result is a network of worldwide datacenters that consume a large amount of energy, mostly in an…

分布式、并行与集群计算 · 计算机科学 2023-06-30 Walid A. Hanafy , Roozbeh Bostandoost , Noman Bashir , David Irwin , Mohammad Hajiesmaili , Prashant Shenoy

High-Performance Computing (HPC) has recently entered the Exascale era, and considerable efforts are being made to fully harness this potential power for large-scale applications, such as cutting-edge generative AI (training and…

分布式、并行与集群计算 · 计算机科学 2026-05-26 Roblex Nana Tchakoute , Claude Tadonki

Major cloud providers such as Microsoft, Google, Facebook and Amazon rely heavily on datacenters to support the ever-increasing demand for their computational and application services. However, the financial and carbon footprint related…

分布式、并行与集群计算 · 计算机科学 2018-05-07 Rajkumar Buyya , Sukhpal Singh Gill
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