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Developing accurate and extendable performance models for serverless platforms, aka Function-as-a-Service (FaaS) platforms, is a very challenging task. Also, implementation and experimentation on real serverless platforms is both costly and…

分布式、并行与集群计算 · 计算机科学 2021-02-18 Nima Mahmoudi , Hamzeh Khazaei

As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the…

分布式、并行与集群计算 · 计算机科学 2017-01-20 Blesson Varghese , Nan Wang , Dimitrios S. Nikolopoulos , Rajkumar Buyya

Experimental data can aid in gaining insights about a system operation, as well as determining critical aspects of a modelling or simulation process. In this paper, we analyze the data acquired from an extensive experimentation process in a…

Function-as-a-Service (FaaS) has recently emerged as a new cloud computing paradigm. It promises high utilization of data center resources through allocating resources on demand at per-function request granularity. High cold-start…

分布式、并行与集群计算 · 计算机科学 2021-09-29 Yue Tan , David Liu , Nanqinqin Li , Amit Levy

As novel applications spring up in future network scenarios, the requirements on network service capabilities for differentiated services or burst services are diverse. Aiming at the research of collaborative computing and resource…

网络与互联网体系结构 · 计算机科学 2021-02-25 Zhuo Li , Xu Zhou , Yang Liu , Congshan Fan , Wei Wang

Computing needs for high energy physics are already intensive and are expected to increase drastically in the coming years. In this context, heterogeneous computing, specifically as-a-service computing, has the potential for significant…

Abstract The cloud computing is a key computing approach adopted by many organizations in order to share resources. It provides Everything As-A-Service (XaaS). Software-As-A-Service is an important resource on the cloud computing…

软件工程 · 计算机科学 2019-05-28 Dhanamma Jagli , Seema Purohit , N. Subash Chandra

Function-as-a-Service (FaaS) is a popular cloud computing model in which applications are implemented as work flows of multiple independent functions. While cloud providers usually offer composition services for such workflows, they do not…

分布式、并行与集群计算 · 计算机科学 2025-10-24 Natalie Carl , Trever Schirmer , Tobias Pfandzelter , David Bermbach

Current Serverless abstractions (e.g., FaaS) poorly support non-functional requirements (e.g., QoS and constraints), are provider-dependent, and are incompatible with other cloud abstractions (e.g., databases). As a result, application…

分布式、并行与集群计算 · 计算机科学 2024-10-23 Pawissanutt Lertpongrujikorn , Hai Duc Nguyen , Mohsen Amini Salehi

While the first generation of cloud computing systems mitigated the job of system administrators, the next generation of cloud computing systems is emerging to mitigate the burden for cloud developers -- facilitating the development of…

分布式、并行与集群计算 · 计算机科学 2024-07-25 Pawissanutt Lertpongrujikorn , Mohsen Amini Salehi

Serverless computing, also known as Functions-as-a-Service, is a recent paradigm aimed at simplifying the programming of cloud applications. The idea is that developers design applications in terms of functions, which are then deployed on a…

Function-as-a-Service (FaaS) offers a streamlined cloud computing paradigm, but existing centralized systems suffer from vendor lock-in and single points of failure. We propose DeFaaS, a decentralized FaaS system leveraging blockchain…

软件工程 · 计算机科学 2024-04-15 Rabimba Karanjai , Lei Xu , Lin Chen , Nour Diallo , Weidong Shi

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…

分布式、并行与集群计算 · 计算机科学 2025-06-27 Kyriakos Psarakis , George Christodoulou , George Siachamis , Marios Fragkoulis , Asterios Katsifodimos

Serverless computing, also referred to as Function-as-a-Service (FaaS), is a cloud computing model that has attracted significant attention and has been widely adopted in recent years. The serverless computing model offers an intuitive,…

分布式、并行与集群计算 · 计算机科学 2024-10-10 Michail Tsenos , Aristotelis Peri , Vana Kalogeraki

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…

分布式、并行与集群计算 · 计算机科学 2023-03-13 Ming Zhao , Kritshekhar Jha , Sungho Hong

The serverless and functions as a service (FaaS) paradigms are currently trending among cloud providers and are now increasingly being applied to the network edge, and to the Internet of Things (IoT) devices. The benefits include reduced…

网络与互联网体系结构 · 计算机科学 2021-03-23 Pekka Karhula , Jan Janak , Henning Schulzrinne

Function as a Service (FaaS) permits cloud customers to deploy to cloud individual functions, in contrast to complete virtual machines or Linux containers. All major cloud providers offer FaaS products (Amazon Lambda, Google Cloud…

分布式、并行与集群计算 · 计算机科学 2020-08-12 Pawel Zuk , Krzysztof Rzadca

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

Artificial intelligence (AI) has become a pivotal force in reshaping next generation mobile networks. Edge computing holds promise in enabling AI as a service (AIaaS) for prompt decision-making by offloading deep neural network (DNN)…

网络与互联网体系结构 · 计算机科学 2025-01-28 Vahid Pourakbar , Hamed Shah-Mansouri

Function-as-a-Service is a novel type of cloud service used for creating distributed applications and utilizing computing resources. Application developer supplies source code of cloud functions, which are small applications or application…

分布式、并行与集群计算 · 计算机科学 2019-09-10 Maciej Pawlik , Kamil Figiela , Maciej Malawski