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Related papers: Stratos: A Network-Aware Orchestration Layer for V…

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The increasing demand for diverse, mobile applications with various degrees of Quality of Service requirements meets the increasing elasticity of on-demand resource provisioning in virtualized cloud computing infrastructures. This paper…

Networking and Internet Architecture · Computer Science 2018-07-10 Ronny Hans , Björn Richerzhagen , Amr Rizk , Ulrich Lampe , Ralf Steinmetz , Sabrina Klos , Anja Klein

The Internet of Things (IoT) is offering unprecedented observational data that are used for managing Smart City utilities. Edge and Fog gateway devices are an integral part of IoT deployments to acquire real-time data and enact controls.…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-10 Pushkara Ravindra , Aakash Khochare , Siva Prakash Reddy , Sarthak Sharma , Prateeksha Varshney , Yogesh Simmhan

With the massive increase in the number of IoT devices being deployed in smart cities, it becomes paramount for middlewares to be able to handle very high loads and support demanding use-cases. In order to do so, middlewares must scale…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-03-19 Poorna Chandra Tejasvi , Vasanth Rajaraman , Arun Babu Puthuparambil , Akhil Pankaj , Bharadwaj Amrutur

Herein, we present Stratus, an end-to-end full-stack deep learning application deployed on the cloud. The rise of productionized deep learning necessitates infrastructure in the cloud that can provide such service (IaaS). In this paper, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-27 Ruida Zeng , Aadarsh Jha , Ashwin Kumar , Terry Luo

We present Elmo, a system that addresses the multicast scalability problem in multi-tenant data centers. Modern cloud applications frequently exhibit one-to-many communication patterns and, at the same time, require sub-millisecond…

Networking and Internet Architecture · Computer Science 2018-06-01 Muhammad Shahbaz , Lalith Suresh , Jen Rexford , Nick Feamster , Ori Rottenstreich , Mukesh Hira

Cloud computing offers the economies of scale for computational resources with the ease of management, elasticity, and fault tolerance. To take advantage of these benefits, many enterprises are contemplating to outsource the middlebox…

Cryptography and Security · Computer Science 2019-10-18 Bohdan Trach , Alfred Krohmer , Sergei Arnautov , Franz Gregor , Pramod Bhatotia , Christof Fetzer

We consider a hierarchical edge-cloud architecture in which services are provided to mobile users as chains of virtual network functions. Each service has specific computation requirements and target delay performance, which require placing…

Networking and Internet Architecture · Computer Science 2022-02-21 Itamar Cohen , Carla Fabiana Chiasserini , Paolo Giaccone , Gabriel Scalosub

The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure. Virtualization technologies enable users to acquire,…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-08 Minxian Xu , Wenhong Tian , Rajkumar Buyya

Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-02 Abdellah Idrissi , Faouzia Zegrari

Multi-cluster federation is envisioned to be the next-generation cloud infrastructure, where it will play a vital part in the realization of concepts such as edge and fog computing. Orchestrating applications in federated environments poses…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-06 Johan Ruuskanen , Haorui Peng , Alfred Åkesson , Lars Larsson , Maria Kihl

Infrastructure as a Service (IaaS) Cloud services allow users to deploy distributed applications in a virtualized environment without having to customize their applications to a specific Platform as a Service (PaaS) stack. It is common…

Software Engineering · Computer Science 2018-01-30 Christian Stier , Jörg Domaschka , Anne Koziolek , Sebastian Krach , Jakub Krzywda , Ralf Reussner

The Computing Continuum (CC) integrates different layers of processing infrastructure, from Edge to Cloud, to optimize service quality through ubiquitous and reliable computation. Compared to central architectures, however, heterogeneous…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-18 Boris Sedlak , Víctor Casamayor Pujol , Ildefons Magrans de Abril , Praveen Kumar Donta , Adel N. Toosi , Schahram Dustdar

Upon the expansion of Cloud Computing and the positive outlook of organizations with regard to the movements towards using cloud computing and their expanding utilization of such valuable processing method, as well as the solutions provided…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-30 Yaghoob Siahmargooei , Mohammad Kazem Akbari , Seyyed Alireza Hashemi Golpayegani , Saeed Sharifian

Cloud computing, offering on-demand access to computing resources through the Internet and the pay-as-you-go model, has marked the last decade with its three main service models; Infrastructure as a Service (IaaS), Platform as a Service…

Networking and Internet Architecture · Computer Science 2023-12-29 Berat Can Senel , Maxime Mouchet , Justin Cappos , Olivier Fourmaux , Timur Friedman , Rick McGeer

Modern manufacturing systems require adaptive computing infrastructures that can respond to highly dynamic workloads and increasingly customized production demands. The compute continuum emerges as a promising solution, enabling flexible…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-10 Hai Dinh-Tuan , Tien Hung Nguyen , Sanjeet Raj Pandey

Training large machine learning (ML) models with many variables or parameters can take a long time if one employs sequential procedures even with stochastic updates. A natural solution is to turn to distributed computing on a cluster;…

Machine Learning · Statistics 2013-12-31 Seunghak Lee , Jin Kyu Kim , Qirong Ho , Garth A. Gibson , Eric P. Xing

This paper proposes using file system custom metadata as a bidirectional communication channel between applications and the storage system. This channel can be used to pass hints that enable cross-layer optimizations, an option hindered…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-01-29 Samer Al-Kiswany , Emalayan Vairavanathan , Lauro B. Costa , Hao Yang , Matei Ripeanu

Owing to their cost-effectiveness and flexibility, cloud services have been the default choice for the deployment of innumerable software systems over the years. However, novel paradigms are beginning to emerge, as the cloud can't meet the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-29 Tamara Ranković , Ivana Kovačević , Veljko Maksimović , Goran Sladić , Miloš Simić

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-20 Tim Kraus , Axel Sauer , Ingo Feldner

Cloud computing enables the dynamic provisioning of server resources. To exploit this opportunity, a policy is needed for dynamically allocating (and deallocating) servers in response to the current load conditions. In this paper we…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-24 Niklas Carlsson , Derek Eager