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Serverless computing enables a new way of building and scaling cloud applications by allowing developers to write fine-grained serverless or cloud functions. The execution duration of a cloud function is typically short-ranging from a few…

Operating Systems · Computer Science 2022-09-08 Yuqi Fu , Li Liu , Haoliang Wang , Yue Cheng , Songqing Chen

Serverless computing is an emerging cloud paradigm that offers an elastic and scalable allocation of computing resources with pay-as-you-go billing. In the Function-as-a-Service (FaaS) programming model, applications comprise short-lived…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-23 Wei Qiu , Marcin Copik , Yun Wang , Alexandru Calotoiu , Torsten Hoefler

Function-as-a-Service (FaaS) is emerging as an important cloud computing service model as it can improve the scalability and usability of a wide range of applications, especially Machine-Learning (ML) inference tasks that require scalable…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-13 Ming Zhao , Kritshekhar Jha , Sungho Hong

Serverless computing is transforming cloud application development, but the performance-cost trade-offs of control plane designs remain poorly understood due to a lack of open, cross-platform benchmarks and detailed system analyses. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-04 Leonid Kondrashov , Boxi Zhou , Hancheng Wang , Dmitrii Ustiugov

Cloud-based serverless computing systems, either public or privately provisioned, aim to provide the illusion of infinite resources and abstract users from details of the allocation decisions. With the goal of providing a low cost and a…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-25 Chavit Denninnart

Existing serverless workflow orchestration systems are predominantly designed for a single-cloud FaaS system, leading to vendor lock-in. This restricts performance optimization, cost reduction, and availability of applications. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-07 Rui Li , Jianfei Liu , Zhilin Yang , Peichang Shi , Guodong Yi , Huaimin Wang

Automatic network management strategies have become paramount for meeting the needs of innovative real-time and data-intensive applications, such as in the Internet of Things. However, meeting the ever-growing and fluctuating demands for…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-18 Fatemeh Banaie , Karim Djemame , Abdulaziz Alhindi , Vasilios Kelefouras

Modern HPC workload managers and their careful tuning contribute to the high utilization of HPC clusters. However, due to inevitable uncertainty it is impossible to completely avoid node idleness. Although such idle slots are usually too…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-03 Bartłomiej Przybylski , Maciej Pawlik , Paweł Żuk , Bartłomiej Łagosz , Maciej Malawski , Krzysztof Rzadca

Cloud computing is a Technology that has come out in the last decade and that is transforming the IT industry in huge. The Cloud computing is playing a vital role as a backbone component of the Internet of Things (IoT). In a Cloud Computing…

Software Engineering · Computer Science 2019-05-28 Dhanamma Jagli , Seema Purohit , N. Subhash Chandra

Serverless functions provide high levels of parallelism, short startup times, and "pay-as-you-go" billing. These attributes make them a natural substrate for data analytics workflows. However, the impossibility of direct communication…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-26 Germán T. Eizaguirre , Marc Sánchez-Artigas , Pedro García-López

Serverless computing is an excellent fit for big data processing because it can scale quickly and cheaply to thousands of parallel functions. Existing serverless platforms isolate functions in ephemeral, stateless containers, preventing…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-22 Simon Shillaker , Peter Pietzuch

Federated Learning (FL) is emerging as a promising technology to build machine learning models in a decentralized, privacy-preserving fashion. Indeed, FL enables local training on user devices, avoiding user data to be transferred to…

Machine Learning · Computer Science 2020-11-19 Nicolas Kourtellis , Kleomenis Katevas , Diego Perino

Serverless computing is gaining traction as an attractive model for the deployment of a multitude of workloads in the cloud. Designing and building effective resource management solutions for any computing environment requires extensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-20 Anupama Mampage , Rajkumar Buyya

Serverless computing, particularly Function-as-a-Service (FaaS), has revolutionized cloud computing by abstracting infrastructure management and enabling dynamic resource allocation. This paper examines the performance and compatibility of…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-23 Ehsan Ataie , Mohammadreza Pooshani , Hossein Aqasizade

Recently, serverless computing has gained recognition as a leading cloud computing method. Providing a solution that does not require direct server and infrastructure management, this technology has addressed many traditional model problems…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-01-20 Mohsen Ghorbian , Mostafa Ghobaei-Arani

Internet-scale web applications are becoming increasingly storage-intensive and rely heavily on in-memory object caching to attain required I/O performance. We argue that the emerging serverless computing paradigm provides a well-suited,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-29 Ao Wang , Jingyuan Zhang , Xiaolong Ma , Ali Anwar , Lukas Rupprecht , Dimitrios Skourtis , Vasily Tarasov , Feng Yan , Yue Cheng

Developing stateful cloud applications, such as low-latency workflows and microservices with strict consistency requirements, remains arduous for programmers. The Stateful Functions-as-a-Service (SFaaS) paradigm aims to serve these use…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-27 Kyriakos Psarakis , George Christodoulou , George Siachamis , Marios Fragkoulis , Asterios Katsifodimos

The exponential growth of Internet of Things (IoT) has given rise to a new wave of edge computing due to the need to process data on the edge, closer to where it is being produced and attempting to move away from a cloud-centric…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-15 Hamza Javed , Adel N. Toosi , Mohammad S. Aslanpour

Choreographic Programming (CP) is a language paradigm whereby software artefacts, called choreographies, specify the behaviour of communicating participants. CP is famous for its correctness-by-construction approach to the development of…

Programming Languages · Computer Science 2024-06-14 Giuseppe De Palma , Saverio Giallorenzo , Jacopo Mauro , Matteo Trentin , Gianluigi Zavattaro

Existing disaggregated databases separate execution and storage layers, enabling independent and elastic scaling of resources. In most cases, this design makes transaction concurrency control (CC) a critical bottleneck, which demands…

Databases · Computer Science 2026-03-17 Weixing Zhou , Yanfeng Zhang , Xinji Zhou , Zhiyou Wang , Zeshun Peng , Yang Ren , Sihao Li , Huanchen Zhang , Guoliang Li , Ge Yu