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Serverless computing and stream processing represent two dominant paradigms for event-driven data processing, yet both make assumptions that render them inefficient for short-running, lightweight, and unpredictable streams that require…

分布式、并行与集群计算 · 计算机科学 2026-03-04 Natalie Carl , Niklas Kowallik , Constantin Stahl , Trever Schirmer , Tobias Pfandzelter , David Bermbach

With the advent of AWS Lambda in 2014, Serverless Computing, particularly Function-as-a-Service (FaaS), has witnessed growing popularity across various application domains. FaaS enables an application to be decomposed into fine-grained…

软件工程 · 计算机科学 2024-01-22 Mohak Chadha , Paul Wieland , Michael Gerndt

Spatiotemporal data are being produced in continuously growing volumes by a variety of data sources and a variety of application fields rely on rapid analysis of such data. Existing systems such as PostGIS or MobilityDB usually build on…

数据库 · 计算机科学 2026-05-21 Diana Baumann , Tim C. Rese , David Bermbach

The Function-as-a-service (FaaS) computing model has recently seen significant growth especially for highly scalable, event-driven applications. The easy-to-deploy and cost-efficient fine-grained billing of FaaS is highly attractive to big…

分布式、并行与集群计算 · 计算机科学 2023-09-11 Yuze Li , Kevin Assogba , Abhijit Tripathy , Moiz Arif , M. Mustafa Rafique , Ali R. Butt , Dimitrios Nikolopoulos

The web ecosystem is rapidly evolving with changing business and functional models. Cloud platforms are available in a SaaS, PaaS and IaaS model designed around commoditized Linux based servers. 10 billion users will be online and accessing…

软件工程 · 计算机科学 2018-09-24 Shaun C. D'Souza

Experiment-in-the-Loop Computing (EILC) requires support for numerous types of processing and the management of heterogeneous infrastructure over a dynamic range of scales: from the edge to the cloud and HPC, and intermediate resources.…

分布式、并行与集群计算 · 计算机科学 2019-09-16 Andre Luckow , Shantenu Jha

The widespread deployment of large-scale, compute-intensive applications such as high-performance computing, artificial intelligence, and big data is leading to convergence between cloud and high-performance computing infrastructures. Cloud…

分布式、并行与集群计算 · 计算机科学 2026-01-15 Valerio Besozzi , Matteo Della Bartola , Patrizio Dazzi , Marco Danelutto

As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Rajkumar Buyya , Rodrigo N. Calheiros , Xiaorong Li

Multi-cloud computing is a promising paradigm to support very large scale world wide distributed applications. Multi-cloud computing is the usage of multiple, independent cloud environments, which assumed no priori agreement between cloud…

软件工程 · 计算机科学 2014-07-09 Fawaz Paraiso , Philippe Merle , Lionel Seinturier

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…

网络与互联网体系结构 · 计算机科学 2023-12-29 Berat Can Senel , Maxime Mouchet , Justin Cappos , Olivier Fourmaux , Timur Friedman , Rick McGeer

Serverless technologies, also known as FaaS (Function as a Service), are promoted as solutions that provide dynamic scalability, speed of development, cost-per-consumption model, and the ability to focus on the code while taking attention…

Serverless Function-as-a-Service (FaaS) is a popular cloud paradigm to quickly and cheaply implement complex applications. Because the function instances cloud providers start to execute user code run on shared infrastructure, their…

分布式、并行与集群计算 · 计算机科学 2025-10-27 Trever Schirmer , Natalie Carl , Nils Höller , Tobias Pfandzelter , David Bermbach

Serverless is an increasingly popular choice for service architects because it can provide elasticity and load-based billing with minimal developer effort. A common and important use case is to compose serverless functions and cloud storage…

分布式、并行与集群计算 · 计算机科学 2021-03-02 Sebastian Burckhardt , Chris Gillum , David Justo , Konstantinos Kallas , Connor McMahon , Christopher S. Meiklejohn

Users increasingly create, manage and share digital resources, including sensitive data, via cloud platforms and APIs. Platforms encode the rules governing access to these resources, referred to as \textit{security policies}, using…

密码学与安全 · 计算机科学 2023-07-13 Joe Stubbs , Smruti Padhy , Richard Cardone , Steven Black

The creation of Domain Specific Languages(DSL) counts as one of the main goals in the field of Model-Driven Software Engineering (MDSE). The main purpose of these DSLs is to facilitate the manipulation of domain specific concepts, by…

The serverless platform allows a customer to effectively use cloud resources and pay for the exact amount of used resources. A number of dedicated open source and commercial cloud data management tools are available to handle the massive…

分布式、并行与集群计算 · 计算机科学 2021-12-21 Chinmaya Kumar Dehury , Pelle Jakovits , Satish Narayana Srirama , Giorgos Giotis , Gaurav Garg

Multimedia conferencing is used extensively in a wide range of applications, such as online games and distance learning. These applications need to efficiently scale the conference size as the number of participants fluctuates. Cloud is a…

Serverless cloud computing handles virtually all the system administration operations needed to make it easier for programmers to use the cloud. It provides an interface that greatly simplifies cloud programming, and represents an evolution…

MPEG has recently proposed Server and Network Assisted Dynamic Adaptive Streaming over HTTP (SAND-DASH) for video streaming over the Internet. In contrast to the purely client-based video streaming in which each client makes its own…

多媒体 · 计算机科学 2017-08-10 Abbas Mehrabi , Matti Siekkinen , Antti Ylä-Jääski

Mixture-of-Experts (MoE) models offer high capacity with efficient inference cost by activating a small subset of expert models per input. However, deploying MoE models requires all experts to reside in memory, creating a gap between the…

分布式、并行与集群计算 · 计算机科学 2026-04-30 Minghe Wang , Trever Schirmer , Mohammadreza Malekabbasi , David Bermbach