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The workload prediction and resource allocation significantly play an inevitable role in production of an efficient cloud environment. The proactive estimation of future workload followed by decision of resource allocation have become a…

分布式、并行与集群计算 · 计算机科学 2021-06-30 Deepika Saxena , Ashutosh Kumar Singh

In this tutorial paper, we will firstly review some basic simulation concepts and then introduce the parallel and distributed simulation techniques in view of some new challenges of today and tomorrow. More in particular, in the last years…

分布式、并行与集群计算 · 计算机科学 2015-03-19 Gabriele D'Angelo

This paper investigates the fronthaul compression problem in a user-centric cloud radio access network, in which single-antenna users are served by a central processor (CP) cooperatively via a cluster of remote radio heads (RRHs). To…

信息论 · 计算机科学 2024-03-15 Ruihua Qiao , Tao Jiang , Wei Yu

Cloud-based computing systems can get oversubscribed due to the budget constraints of their users or limitations in certain resource types. The oversubscription can, in turn, degrade the users perceived Quality of Service (QoS). The…

分布式、并行与集群计算 · 计算机科学 2021-04-12 Chavit Denninnart , Mohsen Amini Salehi

The primary motivation for uptake of virtualization has been resource isolation, capacity management and resource customization allowing resource providers to consolidate their resources in virtual machines. Various approaches have been…

分布式、并行与集群计算 · 计算机科学 2010-09-27 Omer Khalid , Ivo Maljevic , Richard Anthony , Miltos Petridis , Kevin Parrot , Markus Schulz

Active learning has been proposed to reduce data annotation efforts by only manually labelling representative data samples for training. Meanwhile, recent active learning applications have benefited a lot from cloud computing services with…

机器学习 · 计算机科学 2022-11-28 Yu-Tong Cao , Jingya Wang , Baosheng Yu , Dacheng Tao

Cloud-based computing systems could get oversubscribed due to budget constraints of cloud users which causes violation of Quality of Experience(QoE) metrics such as tasks' deadlines. We investigate an approach to achieve robustness against…

分布式、并行与集群计算 · 计算机科学 2018-09-19 Chavit Denninnart , Mohsen Amini Salehi , Adel Nadjaran Toosi , Xiangbo Li

The convergence of high-performance computing (HPC) and artificial intelligence (AI) is driving the emergence of increasingly complex parallel applications and workloads. These workloads often combine multiple parallel runtimes within the…

分布式、并行与集群计算 · 计算机科学 2026-01-29 Aleix Roca , Vicenç Beltran

The rapid evolution of embedded systems, along with the growing variety and complexity of AI algorithms, necessitates a powerful hardware/software co-design methodology based on virtual prototyping technologies. The market offers a diverse…

分布式、并行与集群计算 · 计算机科学 2025-10-20 Tim Kraus , Axel Sauer , Ingo Feldner

Modern industrial systems require updated approaches to safety management, as the tight interplay between cyber-physical, human, and organizational factors has driven their processes toward increasing complexity. In addition to dealing with…

系统与控制 · 电气工程与系统科学 2025-09-09 Francesco Simone , Marco Bortolini , Giovanni Mazzuto , Giulio di Gravio , Riccardo Patriarca

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…

Visual In-Context Learning (VICL) aims to complete vision tasks by imitating pixel demonstrations. Recent work pioneered prompt fusion that combines the advantages of various demonstrations, which shows a promising way to extend VICL.…

计算机视觉与模式识别 · 计算机科学 2026-03-20 Tianci Luo , Jinpeng Wang , Shiyu Qin , Niu Lian , Yan Feng , Bin Chen , Chun Yuan , Shu-Tao Xia

Cloud platforms remain underutilized despite multiple proposals to improve their utilization (e.g., disaggregation, harvesting, and oversubscription). Our characterization of the resource utilization of virtual machines (VMs) in Azure…

Cloud computing is penetrating into various domains and environments, from theoretical computer science to economy, from marketing hype to educational curriculum and from R&D lab to enterprise IT infrastructure. Yet, the currently…

分布式、并行与集群计算 · 计算机科学 2010-10-26 Mikael Fernandus Simalango , Mun-Young Kang , Sangyoon Oh

Continuous unsupervised representation learning (CURL) research has greatly benefited from improvements in self-supervised learning (SSL) techniques. As a result, existing CURL methods using SSL can learn high-quality representations…

机器学习 · 计算机科学 2023-09-13 Alex Gomez-Villa , Bartlomiej Twardowski , Kai Wang , Joost van de Weijer

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

Assigning repetitive and physically-demanding construction tasks to robots can alleviate human workers's exposure to occupational injuries. Transferring necessary dexterous and adaptive artisanal construction craft skills from workers to…

机器人学 · 计算机科学 2024-05-24 Hongrui Yu , Vineet R. Kamat , Carol C. Menassa

The emergence of cloud computing presents a strategic direction for critical infrastructures and promises to have far-reaching effects on their systems and networks to deliver better outcomes to the nations at a lower cost. However, when…

密码学与安全 · 计算机科学 2019-08-19 Farhan Hyder Sahito , Wolfgang Slany

Human-in-the-loop reinforcement learning systems achieve near-perfect success on the workstation where they are trained, but collapse when the same robot is moved to a workstation a few meters away due to shifts in the visual input…

机器人学 · 计算机科学 2026-05-20 Shuoqin Zhang , Yixin Xiong , Xiru Gao , Kai Liu , Ke Wang , Xichuan Zhou , Zhe Hu

Heating, Ventilation, and Air Conditioning (HVAC) systems account for approximately 38% of building energy consumption globally, making them one of the most energy-intensive services. The increasing emphasis on energy efficiency and…

系统与控制 · 电气工程与系统科学 2025-05-12 Xinyu Liang , Frits de Nijs , Buser Say , Hao Wang