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The ability to perform computation on devices, such as smartphones, cars, or other nodes present at the Internet of Things leads to constraints regarding bandwidth, storage, and energy, as most of these devices are mobile and operate on…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-29 Natascha Harth , Hans-Joerg Voegel , Kostas Kolomvatsos , Christos Anagnostopoulos

Client-side logic and storage are increasingly used in web and mobile applications to improve response time and availability. Current approaches tend to be ad-hoc and poorly integrated with the server-side logic. We present a principled…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-14 Marek Zawirski , Annette Bieniusa , Valter Balegas , Sérgio Duarte , Carlos Baquero , Marc Shapiro , Nuno Preguiça

Fog nodes in the vicinity of IoT devices are promising to provision low latency services by offloading tasks from IoT devices to them. Mobile IoT is composed by mobile IoT devices such as vehicles, wearable devices and smartphones. Owing to…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-14 Qiang Fan , Jianan Bai , Hongxia Zhang , Yang Yi , Lingjia Liu

Mobile edge computing is a new cloud computing paradigm which makes use of small-sized edge-clouds to provide real-time services to users. These mobile edge-clouds (MECs) are located in close proximity to users, thus enabling users to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-10 Shiqiang Wang , Murtaza Zafer , Kin K. Leung

Fog computing is introduced by shifting cloud resources towards the users' proximity to mitigate the limitations possessed by cloud computing. Fog environment made its limited resource available to a large number of users to deploy their…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-02-09 Chinmaya Kumar Dehury , Shivananda Poojara , Satish Narayana Srirama

Industrial Fog computing deploys various industrial services, such as automatic monitoring/control and imminent failure detection, at the Fog Nodes (FNs) to improve the performance of industrial systems. Much effort has been made in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-06-21 Lixing Chen , Pan Zhou , Liang Gao , Jie Xu

Fog computing is an architecture that is used to distribute resources such as computing, storage, and memory closer to end-user to improve applications and service deployment. The idea behind fog computing is to improve cloud computing and…

Networking and Internet Architecture · Computer Science 2020-06-02 Nikheel Soni , Reza Malekian , Dijana Capeska Bogatinoska

The proliferation in data volume and processing requests calls for a new breed of on-demand computing. Fog computing is proposed to address the limitations of cloud computing by extending processing and storage resources to the edge of the…

Networking and Internet Architecture · Computer Science 2019-04-24 Hatem A. Alharbi , Taisir E. H. Elgorashi , Jaafar M. H. Elmirghani

We study the problem of optimal content placement over a network of caches, a problem naturally arising in several networking applications, including ICNs, CDNs, and P2P systems. Given a demand of content request rates and paths followed,…

Networking and Internet Architecture · Computer Science 2016-04-13 Stratis Ioannidis , Edmund Yeh

Online advertising has been introduced as one of the most efficient methods of advertising throughout the recent years. Yet, advertisers are concerned about the efficiency of their online advertising campaigns and consequently, would like…

Machine Learning · Computer Science 2013-05-15 Ali Jalali , Santanu Kolay , Peter Foldes , Ali Dasdan

The Industry 4.0 revolution has been made possible via AI-based applications (e.g., for automation and maintenance) deployed on the serverless edge (aka fog) computing platforms at the industrial sites -- where the data is generated.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-17 Razin Farhan Hussain , Mohsen Amini Salehi

Federated learning (FL) enables edge devices to collaboratively train a machine learning model without sharing their raw data. Due to its privacy-protecting benefits, FL has been deployed in many real-world applications. However, deploying…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-16 Zhidong Gao , Zhenxiao Zhang , Yu Zhang , Tongnian Wang , Yanmin Gong , Yuanxiong Guo

In this paper, a method for predicting the resources required for an intelligent vehicle client using a three-layer vehicular computing architecture is proposed. This method leverages Q-Learning to optimize resource allocation and enhance…

Networking and Internet Architecture · Computer Science 2026-02-17 Bahar Mojtabaei Ranani , Mahmood Ahmadi , Sajad Ahmadian

Fog computing is seen as a promising approach to perform distributed, low-latency computation for supporting Internet of Things applications. However, due to the unpredictable arrival of available neighboring fog nodes, the dynamic…

Information Theory · Computer Science 2017-04-10 Gilsoo Lee , Walid Saad , Mehdi Bennis

The widespread diffusion of electric mobility requires a contextual expansion of the charging infrastructure. An extended collection and processing of information regarding charging of electric vehicles may turn each electric vehicle…

Machine Learning · Computer Science 2021-04-27 Francesca Soldan , Enea Bionda , Giuseppe Mauri , Silvia Celaschi

Wireless access through a large distributed network of low-complexity infrastructure nodes empowered with cooperation and coordination capabilities, is an emerging radio architecture, candidate to deal with the mobile data capacity crunch.…

Information Theory · Computer Science 2013-04-04 Antonis G. Gotsis , Angeliki Alexiou

This paper investigates an edge computing system where requests are processed by a set of replicated edge servers. We investigate a class of applications where similar queries produce identical results. To reduce processing overhead on the…

Emerging Technologies · Computer Science 2024-05-29 Adrian-Cristian Nicolaescu , Spyridon Mastorakis , Md Washik Al Azad , David Griffin , Miguel Rio

Caching at mobile devices can facilitate device-to-device (D2D) communications, which may significantly improve spectrum efficiency and alleviate the heavy burden on backhaul links. However, most previous works ignored user mobility, thus…

Information Theory · Computer Science 2017-03-07 Rui Wang , Jun Zhang , S. H. Song , Khaled B. Letaief

Emerging reconfigurable optical communication technologies allow to enhance datacenter topologies with demand-aware links optimized towards traffic patterns. This paper studies the algorithmic problem of jointly optimizing topology and…

Performance · Computer Science 2024-01-10 Wenkai Dai , Michael Dinitz , Klaus-Tycho Foerster , Long Luo , Stefan Schmid

User connectivity patterns in network applications are known to be heterogeneous, and to follow periodic (daily and weekly) patterns. In many cases, the regularity and the correlation of those patterns is problematic: for network…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Matteo Dell'Amico , Maurizio Filippone , Pietro Michiardi , Yves Roudier