Results 41 to 50 of about 857,366 (269)

On the Analysis of Inter-Relationship between Auto-Scaling Policy and QoS of FaaS Workloads

open access: yesSensors
A recent development in cloud computing has introduced serverless technology, enabling the convenient and flexible management of cloud-native applications.
Sara Hong   +3 more
doaj   +1 more source

Service Function Chain Deployment Method Based on Online Instance Configuration [PDF]

open access: yesJisuanji gongcheng, 2019
To cope with the dynamic changes of network traffic in the actual environment and reduce the running cost of operators,this paper proposes a Service Function Chain(SFC) deployment method based on online service function extension.The method firstly ...
SUN Shiqing, PENG Jianhua, YOU Wei, LI Yingle
doaj   +1 more source

Respirable Dust Levels, Years of Service, and Pulmonary Physiological Disorders in Marble Home Industry Workers

open access: yesFolia Medica Indonesiana, 2022
Highlights: • The strength of the relationship between respiratory dust levels and pulmonary function disorders could not be obtained. • The weakness level of correlation between years of service and pulmonary function disorders.
Siti Arum Alia   +4 more
doaj   +1 more source

S-FaaS: Trustworthy and Accountable Function-as-a-Service using Intel SGX

open access: yes, 2018
Function-as-a-Service (FaaS) is a recent and already very popular paradigm in cloud computing. The function provider need only specify the function to be run, usually in a high-level language like JavaScript, and the service provider orchestrates all the
Alder, Fritz   +4 more
core   +1 more source

QFaaS: A Serverless Function-as-a-Service framework for Quantum computing

open access: yesFuture Generation Computer Systems, 2023
Recent breakthroughs in quantum hardware are creating opportunities for its use in many applications. However, quantum software engineering is still in its infancy with many challenges, especially dealing with the diversity of quantum programming languages and hardware platforms. To alleviate these challenges, we propose QFaaS, a novel Quantum Function-
Hoa T. Nguyen   +2 more
openaire   +3 more sources

TrIMS: Transparent and Isolated Model Sharing for Low Latency Deep LearningInference in Function as a Service Environments

open access: yes, 2018
Deep neural networks (DNNs) have become core computation components within low latency Function as a Service (FaaS) prediction pipelines: including image recognition, object detection, natural language processing, speech synthesis, and personalized ...
Dakkak, Abdul   +4 more
core   +1 more source

BriskChain: Decentralized Function Composition for High-Performance Serverless Computing

open access: yesIEEE Access
Serverless computing allows developers to create workflows for complex tasks through the composition of serverless functions. Current serverless workflow engines rely on master-side pattern which do not permit direct interaction between consecutive ...
Kan Wang, Jing Ma, Edmund M.-K. Lai
doaj   +1 more source

SeBS

open access: yesProceedings of the 22nd International Middleware Conference, 2021
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 applications. However, the quickly moving technology hinders reproducibility, and the lack of a standardized benchmarking ...
Copik, Marcin   +4 more
openaire   +3 more sources

In-Network Computing With Function as a Service at the Edge

open access: yes, 2022
Offloading computation from user devices to nodes with processing capabilities at the edge of the network is a major trend in today's network/service architectures.
Cicconetti, Claudio   +2 more
core   +1 more source

NFaaS: Named Function as a Service [PDF]

open access: yes, 2017
In the past, the Information-centric networking (ICN) community has focused on issues mainly pertaining to traditional content delivery (e.g., routing and forwarding scalability, congestion control and in-network caching). However, to keep up with future
Krol, M, Psaras, I
core  

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