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Demand for AI accelerators is rapidly increasing rack power density, with projections approaching 1MW per deployment by 2027. This poses a major challenge for datacenter power delivery designers. As power densities increase, a datacenter…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-18 Grant Wilkins , Fiodar Kazhamiaka , Alok Gautam Kumbhare , Chaojie Zhang , Ricardo Bianchini

Nowadays, a significant focus within the research community on the intelligent management of data at the confluence of the Internet of Things (IoT) and Edge Computing (EC) is observed. In this manuscript, we propose a scheme to be…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-15 Georgios Boulougaris , Kostas Kolomvatsos

As enterprises move to a cloud-first approach, their network becomes crucial to their daily operations and has to be continuously monitored. Although passive monitoring can be convenient from a deployment viewpoint, inferring the state of…

Networking and Internet Architecture · Computer Science 2019-02-13 Olivier Tilmans , Olivier Bonaventure

The explosive growth of mobile multimedia traffic calls for scalable wireless access with high quality of service and low energy cost. Motivated by the emerging energy harvesting communications, and the trend of caching multimedia contents…

Information Theory · Computer Science 2016-11-15 Sheng Zhou , Jie Gong , Zhenyu Zhou , Wei Chen , Zhisheng Niu

Open Government Data (OGD) initiatives aim to enhance public participation and collaboration by making government data accessible to diverse stakeholders, fostering social, environmental, and economic benefits through public value…

Human-Computer Interaction · Computer Science 2024-06-14 Fillip Molodtsov , Anastasija Nikiforova

In the past several years, social media (e.g., Twitter and Facebook) has been experiencing a spectacular rise and popularity, and becoming a ubiquitous discourse for content sharing and social networking. With the widespread of mobile…

Social and Information Networks · Computer Science 2019-08-17 Guofeng Cao , Shaowen Wang , Myunghwa Hwang , Anand Padmanabhan , Zhenhua Zhang , Kiumars Soltani

The rapid expansion of online shopping has increased the demand for timely parcel delivery, compelling logistics service providers to enhance the efficiency, agility, and predictability of their hub networks. In order to solve the problem,…

Machine Learning · Computer Science 2026-02-04 Xinyue Pan , Yujia Xu , Benoit Montreuil

An essential part of building a data-driven organization is the ability to handle and process continuous streams of data to discover actionable insights. The explosive growth of interconnected devices and the social Web has led to a large…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-07-23 Haruna Isah , Farhana Zulkernine

This paper shows an innovative solution for distributing dynamic sensor data by using distributed caches. Our proposal is based on the concepts of service modularization and virtualization of network nodes made available by the NetServ…

Networking and Internet Architecture · Computer Science 2016-11-18 M. Femminella , G. Reali , D. Valocchi , R. Francescangeli , H. Schulzrinne

Contemporary high-performance service-oriented applications demand a performance efficient run-time monitoring. In this paper, we analyze a hierarchical publish-subscribe architecture for monitoring service-oriented applications. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-09-21 Ivan Zuzak , Ivan Benc

This paper describes the envisioned interactions between the information and communication technology and aerospace industries to serve autonomous devices for next generation aerial parcel delivery networks. The autonomous features of fleet…

Networking and Internet Architecture · Computer Science 2021-06-07 Gunes Karabulut Kurt , Halim Yanikomeroglu

Opportunistic mobile networks consisting of intermittently connected mobile devices have been exploited for various applications, such as computational offloading and mitigating cellular traffic load. In contrast to existing work, in this…

Networking and Internet Architecture · Computer Science 2017-03-28 Zongqing Lu , Xiao Sun , Thomas La Porta

The astronomical community is grappling with the increasing volume and complexity of data produced by modern telescopes, due to difficulties in reducing, accessing, analyzing, and combining archives of data. To address this challenge, we…

The emergence of time-domain multi-messenger (astro)physics requires for new, improved ways of interchanging scheduling information, in order to allow more efficient collaborations between the various teams. Currently space- and…

Wider adoption of the Grid concept has led to an increasing amount of federated computational, storage and visualisation resources being available to scientists and researchers. Distributed and heterogeneous nature of these resources…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-11-05 Aleksandar Lazarevic , Lionel Sacks , Ognjen Prnjat

Stochastic dynamical systems have emerged as fundamental models across numerous application domains, providing powerful mathematical representations for capturing uncertain system behavior. In this paper, we address the problem of runtime…

Systems and Control · Electrical Eng. & Systems 2025-11-13 Shenghua Feng , Jie An , Fanjiang Xu

With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless networks, the surging demand for data communications and computing calls for the emerging edge computing paradigm. By moving the services and…

Networking and Internet Architecture · Computer Science 2021-08-19 Quyuan Luo , Shihong Hu , Changle Li , Guanghui Li , Weisong Shi

We abstract the core logical functions from applications that require ultra-low-latency wireless communications to provide a novel definition for reliability. Real-time applications -- such as intelligent transportation, remote surgery, and…

Information Theory · Computer Science 2020-08-19 Rebal Jurdi , Jeffrey G. Andrews , Robert W. Heath

Existing tracking algorithms typically rely on low-frame-rate RGB cameras coupled with computationally intensive deep neural network architectures to achieve effective tracking. However, such frame-based methods inherently face challenges…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Shiao Wang , Xiao Wang , Liye Jin , Bo Jiang , Lin Zhu , Lan Chen , Yonghong Tian , Bin Luo
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