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Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various energy reduction methods for which energy consumption could be…

分布式、并行与集群计算 · 计算机科学 2018-12-21 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

Multi-tenant cloud computing provides great benefits in terms of resource sharing, elastic pricing, and scalability, however, it also changes the security landscape and introduces the need for strong isolation between the tenants, also…

密码学与安全 · 计算机科学 2024-03-05 Kashyap Thimmaraju , Saad Hermak , Gábor Rétvári , Stefan Schmid

Carbon emissions are currently attributed to producers although a consumption-aware accounting is advocated. After constructing the Carbon Trade Network, we trace the flow of emissions over the past two decades. Our analysis reveals the…

Cloud computing promises a radical shift in the provisioning of computing resource within the enterprise. This paper describes the challenges that decision makers face when assessing the feasibility of the adoption of cloud computing in…

分布式、并行与集群计算 · 计算机科学 2010-08-12 Ali Khajeh-Hosseini , David Greenwood , James W. Smith , Ian Sommerville

Data centers are large scale, energy-hungry infrastructure serving the increasing computational demands as the world is becoming more connected in smart cities. The emergence of advanced technologies such as cloud-based services, internet…

分布式、并行与集群计算 · 计算机科学 2022-11-15 Leila Ismail , Huned Materwala

Cloud workloads today are typically managed in a distributed environment and processed across geographically distributed data centers. Cloud service providers have been distributing data centers globally to reduce operating costs while also…

分布式、并行与集群计算 · 计算机科学 2022-05-18 Ninad Hogade , Sudeep Pasricha

Recent breakthroughs in generative artificial intelligence have triggered a surge in demand for machine learning training, which poses significant cost burdens and environmental challenges due to its substantial energy consumption.…

人工智能 · 计算机科学 2023-04-18 Siyue Zhang , Minrui Xu , Wei Yang Bryan Lim , Dusit Niyato

Embodied carbon has been widely reported as a significant component in the full system lifecycle of various computing systems' green house gas emissions. Many efforts have been undertaken to quantify the elements that comprise this embodied…

分布式、并行与集群计算 · 计算机科学 2024-05-24 Shixin Ji , Zhuoping Yang , Xingzhen Chen , Stephen Cahoon , Jingtong Hu , Yiyu Shi , Alex K. Jones , Peipei Zhou

Cloud Computing is a new era of remote computing / Internet based computing where one can access their personal resources easily from any computer through Internet. Cloud delivers computing as a utility as it is available to the cloud…

分布式、并行与集群计算 · 计算机科学 2017-03-02 Swapnil M Parikh , Narendra M Patel , Harshadkumar B Prajapati

With the increasing popularity of Internet-based services and applications, power efficiency is becoming a major concern for data center operators, as high electricity consumption not only increases greenhouse gas emissions, but also…

分布式、并行与集群计算 · 计算机科学 2015-03-19 Dmytro Dyachuk , Michele Mazzucco

Cloud computing is an opened and distributed network that guarantees access to a large amount of data and IT infrastructure at several levels (software, hardware...). With the increase demand, handling clients' needs is getting increasingly…

多智能体系统 · 计算机科学 2022-06-24 Imen Bouabdallah , Hakima Mellah

Despite the new Corporate Sustainability Reporting Directive from the European Union, which presses large enterprises to be more transparent about their GHG emissions, and though large technology- or advisory firms might peddle otherwise,…

软件工程 · 计算机科学 2023-06-21 Tom Kennes

Function-as-a-Service (FaaS) is a growing cloud computing paradigm that is expected to reduce the user cost of service over traditional serverful approaches. However, the environmental impact of FaaS has not received much attention. We…

分布式、并行与集群计算 · 计算机科学 2024-10-17 Sirui Qi , Hayden Moore , Ninad Hogade , Dejan Milojicic , Cullen Bash , Sudeep Pasricha

An increasing number of technology enterprises are adopting cloud-native architectures to offer their web-based products, by moving away from privately-owned data-centers and relying exclusively on cloud service providers. As a result,…

分布式、并行与集群计算 · 计算机科学 2018-01-30 Dimitrios Sikeridis , Ioannis Papapanagiotou , Bhaskar Prasad Rimal , Michael Devetsikiotis

As the cloud infrastructure grows, it becomes more challenging to manage resources in such a massive, diverse, and distributed setting, despite the fact that cloud computing provides computational capabilities on-demand. Due to resource…

分布式、并行与集群计算 · 计算机科学 2025-03-20 Sukhpal Singh Gill

Recent advances in distributed learning raise environmental concerns due to the large energy needed to train and move data to/from data centers. Novel paradigms, such as federated learning (FL), are suitable for decentralized model training…

机器学习 · 计算机科学 2021-11-15 Stefano Savazzi , Sanaz Kianoush , Vittorio Rampa , Mehdi Bennis

Realizing a shared responsibility between providers and consumers is critical to manage the sustainability of HPC. However, while cost may motivate efficiency improvements by infrastructure operators, broader progress is impeded by a lack…

分布式、并行与集群计算 · 计算机科学 2025-12-03 Alok Kamatar , Maxime Gonthier , Valerie Hayot-Sasson , Andre Bauer , Marcin Copik , Torsten Hoefler , Raul Castro Fernandez , Kyle Chard , Ian Foster

With the ever-increasing range of applications of Internet in Things (IoT) and sensor networks, challenges are emerging in various categories of classification tasks. Applications such as vehicular networking, UAV swarm coordination and…

分布式、并行与集群计算 · 计算机科学 2026-04-01 Andrew Nash , Dirk Pesch , Krishnendu Guha

Cloud Computing, as one of the most promising computing paradigms, has become increasingly accepted in industry. Numerous commercial providers have started to supply public Cloud services, and corresponding performance evaluation is then…

分布式、并行与集群计算 · 计算机科学 2013-02-11 Zheng Li , Liam O'Brien , Rainbow Cai , He Zhang

The environmental impact of Large Language Models (LLMs) on data centers hosting these models is becoming a significant concern. While many efforts have focused on reducing the substantial training overhead of LLMs, carbon and water…

系统与控制 · 电气工程与系统科学 2026-03-10 Arash Khalatbarisoltani , Amin Mahmoudi , Jie Han , Muhammad Saeed , Wenxue Liu , Jinwen Li , Solmaz Kahourzade , Amirmehdi Yazdani , Xiaosong Hu