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This paper explores serverless cloud computing for double machine learning. Being based on repeated cross-fitting, double machine learning is particularly well suited to exploit the high level of parallelism achievable with serverless…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-21 Malte S. Kurz

Edge computing is a promising solution to enable low-latency IoT applications, by shifting computation from remote data centers to local devices, less powerful but closer to the end user devices. However, this creates the challenge on how…

Networking and Internet Architecture · Computer Science 2025-03-04 Claudio Cicconetti , Marco Conti , Andrea Passarella

Increasing popularity of the serverless computing approach has led to the emergence of new cloud infrastructures working in Container-as-a-Service (CaaS) model like AWS Fargate, Google Cloud Run, or Azure Container Instances. They introduce…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-23 Krzysztof Burkat , Maciej Pawlik , Bartosz Balis , Maciej Malawski , Karan Vahi , Mats Rynge , Rafael Ferreira da Silva , Ewa Deelman

Serverless computing, with its operational simplicity and on-demand scalability, has become a preferred paradigm for deploying workflow applications. However, resource allocation for workflows, particularly those with branching structures,…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-10 Long Chen , Xinshuai Hua , Jinquan Zhang , Wenshuai Li , Xiaoping Li , Shijie Guo

Cloud computing systems promise to offer subscription-oriented, enterprise-quality computing services to users worldwide. With the increased demand for delivering services to a large number of users, they need to offer differentiated…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Rajkumar Buyya , Saurabh Kumar Garg , Rodrigo N. Calheiros

Cloud computing is being viewed as the technology of today and the future. Through this paradigm, the customers gain access to shared computing resources located in remote data centers that are hosted by cloud providers (CP). This…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-20 Yasir Shoaib , Olivia Das

Data intensive applications often involve the analysis of large datasets that require large amounts of compute and storage resources. While dedicated compute and/or storage farms offer good task/data throughput, they suffer low resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-08-27 Ioan Raicu , Yong Zhao , Ian Foster , Alex Szalay

Cloud computing is becoming an essential component of modern computer and communication systems. The available resources at the cloud such as computing nodes, storage, databases, etc. are often packaged in the form of virtual machines (VMs)…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-03 Muhammad Junaid Farooq , Quanyan Zhu

Serverless computing, commonly offered as Function-as-a-Service, was initially designed for small, lean applications. However, there has been an increasing desire to run larger, more complex applications (what we call bulky applications) in…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Zhiyuan Guo , Zachary Blanco , Junda Chen , Jinmou Li , Zerui Wei , Bili Dong , Ishaan Pota , Mohammad Shahrad , Harry Xu , Yiying Zhang

Serverless computing allows developers to break their code into small components, known as functions, which are automatically managed by a service provider. Being lightweight and modular, serverless functions have been increasingly employed…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-03 Luciano Baresi , Giovanni Quattrocchi , Inacio Ticongolo

The transformation of smart mobility is unprecedented--Autonomous, shared and electric connected vehicles, along with the urgent need to meet ambitious net-zero targets by shifting to low-carbon transport modalities result in new traffic…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-07 Zeinab Nezami , Emmanouil Chaniotakis , Evangelos Pournaras

Organisations are increasingly putting machine learning models into production at scale. The increasing popularity of serverless scale-to-zero paradigms presents an opportunity for deploying machine learning models to help mitigate…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-27 Clive Cox , Dan Sun , Ellis Tarn , Animesh Singh , Rakesh Kelkar , David Goodwin

It is increasingly common to outsource network functions (NFs) to the cloud. However, no cloud providers offer NFs-as-a-Service (NFaaS) that allows users to run custom NFs. Our work addresses how a cloud provider can offer NFaaS. We use the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-18 Arjun Singhvi , Junaid Khalid , Aditya Akella , Sujata Banerjee

Serverless computing has emerged as a compelling paradigm for the development and deployment of a wide range of event based cloud applications. At the same time, cloud providers and enterprise companies are heavily adopting machine learning…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-13 Vatche Ishakian , Vinod Muthusamy , Aleksander Slominski

There has been a significant societal push towards sustainable practices, including in computing. Modern interactive workloads such as geo-distributed web-services exhibit various spatiotemporal and performance flexibility, enabling the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-25 Abel Souza , Shruti Jasoria , Basundhara Chakrabarty , Alexander Bridgwater , Axel Lundberg , Filip Skogh , Ahmed Ali-Eldin , David Irwin , Prashant Shenoy

We address the problem of content replication in large distributed content delivery networks, composed of a data center assisted by many small servers with limited capabilities and located at the edge of the network. The objective is to…

Networking and Internet Architecture · Computer Science 2014-01-09 Mathieu Leconte , Marc Lelarge , Laurent Massoulié

Edge computing is an emerging technology which places computing at the edge of the network to provide an ultra-low latency. Computation offloading, a paradigm that migrates computing from mobile devices to remote servers, can now use the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-13 Li Lin , Peng Li , Jinbo Xiong , Mingwei Lin

Recent trends in Web development demonstrate an increased interest in serverless applications, i.e. applications that utilize computational resources provided by cloud services on demand instead of requiring traditional server management.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-31 Vladislav Tankov , Yaroslav Golubev , Timofey Bryksin

In recent years Serverless Computing has emerged as a compelling cloud based model for the development of a wide range of data-intensive applications. However, rapid container provisioning introduces non-trivial challenges for FaaS cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-28 Dimitrios Tomaras , Michail Tsenos , Vana Kalogeraki

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