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Serverless computing has rapidly grown following the launch of Amazon's Lambda platform. Function-as-a-Service (FaaS) a key enabler of serverless computing allows an application to be decomposed into simple, standalone functions that are…

分布式、并行与集群计算 · 计算机科学 2021-03-11 Anshul Jindal , Michael Gerndt , Mohak Chadha , Vladimir Podolskiy , Pengfei Chen

Python is a high-level interpreted language that has become an industry standard in a wide variety of applications. In this paper, we take a first step towards using ACL2s to reason about Python code by developing an embedding of a subset…

编程语言 · 计算机科学 2025-07-28 Samuel Xifaras , Panagiotis Manolios , Andrew T. Walter , William Robertson

In this paper, we present a new fault injection tool (ProFIPy) for Python software. The tool is designed to be programmable, in order to enable users to specify their software fault model, using a domain-specific language (DSL) for fault…

软件工程 · 计算机科学 2022-03-09 Domenico Cotroneo , Luigi De Simone , Pietro Liguori , Roberto Natella

Serverless execution and most notably the Function as a Service (FaaS) model got quite some attention during the recent years. As of today, all commercial and open source implementations follow the common practice of keeping the execution…

分布式、并行与集群计算 · 计算机科学 2022-06-02 Dániel Géhberger , Dávid Kovács

Function-as-a-Service (FaaS) platforms and "serverless" cloud computing are becoming increasingly popular. Current FaaS offerings are targeted at stateless functions that do minimal I/O and communication. We argue that the benefits of…

Large language models (LLMs) trained on code completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be re-purposed to write robot policy code, given…

机器人学 · 计算机科学 2023-05-26 Jacky Liang , Wenlong Huang , Fei Xia , Peng Xu , Karol Hausman , Brian Ichter , Pete Florence , Andy Zeng

Some of the most powerful language models currently are proprietary systems, accessible only via (typically restrictive) web or software programming interfaces. This is the Language-Models-as-a-Service (LMaaS) paradigm. In contrast with…

Most cloud platforms have a Function-as-a-Service (FaaS) offering that enables users to easily write highly scalable applications. To better understand how the platform's architecture impacts its performance, we present a research-focused…

分布式、并行与集群计算 · 计算机科学 2025-08-01 Trever Schirmer , David Bermbach

We propose LLM-DaaS, a novel Drone-as-a-Service (DaaS) framework that leverages Large Language Models (LLMs) to transform free-text user requests into structured, actionable DaaS operation tasks. Our approach addresses the key challenge of…

人工智能 · 计算机科学 2024-12-17 Lillian Wassim , Kamal Mohamed , Ali Hamdi

Function-as-a-Service (FaaS) is one of the most promising directions for the future of cloud services, and serverless functions have immediately become a new middleware for building scalable and cost-efficient microservices and…

分布式、并行与集群计算 · 计算机科学 2021-07-05 Marcin Copik , Grzegorz Kwasniewski , Maciej Besta , Michal Podstawski , Torsten Hoefler

Plyades: A Python Library for Space Mission Design Designing a space mission is a computation-heavy task. Software tools that conduct the necessary numerical simulations and optimizations are therefore indispensable. The usability of…

天体物理仪器与方法 · 物理学 2016-07-05 Helge Eichhorn , Reiner Anderl

OODIDA (On-board/Off-board Distributed Data Analytics) is a platform for distributing and executing concurrent data analytics tasks. It targets fleets of reference vehicles in the automotive industry and has a particular focus on rapid…

分布式、并行与集群计算 · 计算机科学 2020-09-17 Gregor Ulm , Emil Gustavsson , Mats Jirstrand

Serverless architectures organized around loosely-coupled function invocations represent an emerging design for many applications. Recent work mostly focuses on user-facing products and event-driven processing pipelines. In this paper, we…

分布式、并行与集群计算 · 计算机科学 2018-10-11 Youngbin Kim , Jimmy Lin

Pandas is defined as a software library which is used for data analysis in Python programming language. As pandas is a fast, easy and open source data analysis tool, it is rapidly used in different software engineering projects like…

软件工程 · 计算机科学 2023-05-11 Sajib Kumar Saha Joy , Farzad Ahmed , Al Hasib Mahamud , Nibir Chandra Mandal

The use of Python is noticeably growing among the scientific community, and Astronomy is not an exception. The power of Python consists of being an extremely versatile high-level language, easy to program that combines both traditional…

天体物理仪器与方法 · 物理学 2018-07-16 Daniel M. Faes

Python is a multi-paradigm programming language that fully supports object-oriented (OO) programming. The language allows writing code in a non-procedural imperative manner, using procedures, using classes, or in a functional style. To…

软件工程 · 计算机科学 2022-09-07 Robert Dyer , Jigyasa Chauhan

Serverless computing has emerged as a very popular cloud technology, together with its companion Function-as-a-Service (FaaS) programming model enabling invocations of stateless functions from clients. An evolution of serverless is now…

网络与互联网体系结构 · 计算机科学 2022-08-29 Carlo Puliafito , Claudio Cicconetti , Marco Conti , Enzo Mingozzi , Andrea Passarella

Geospatial data analysis plays a crucial role in tackling intricate societal challenges such as urban planning and climate modeling. However, employing tools like GeoPandas, a prominent Python library for geospatial data manipulation,…

人机交互 · 计算机科学 2025-06-16 Gaspard Merten , Gilles Dejaegere , Mahmoud Sakr

Function-as-a-Service (FaaS) is a type of serverless computing that allows developers to write and deploy code as individual functions, which can be triggered by specific events or requests. FaaS platforms automatically manage the…

As particle accelerator control systems evolve in complexity and scale, the need for responsive, scalable, and cost-effective computational infrastructure becomes increasingly critical. Function-as-a-Service (FaaS) offers an alternative to…

加速器物理 · 物理学 2025-12-11 A. Jaikar , J. Diamond , A. Tiradani , B. Harrison