Relevant bibliographies by topics / Knative

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Conference papers

Academic literature on the topic 'Knative'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Knative"

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Prudhvi, Naayini, and Bura Chiranjeevi. "Optimizing AI Model Inference on Serverless Cloud Platforms: A Scalable Approach." International Journal of Current Science Research and Review 08, no. 05 (2025): 1927–35. https://doi.org/10.5281/zenodo.15323189.

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Abstract : The increasing prevalence of Artificial Intelligence (AI) and Machine Learning (ML) models across various industries has highlighted the critical need for efficient and scalable deployment strategies. Traditional deployment methods often struggle with adapting to fluctuating demands and maintaining cost-effectiveness. Serverless computing has emerged as a promising solution to address these challenges. This paper investigates the deployment of AI models within serverless architectures on Amazon Web Services (AWS), specifically focusing on AWS Lambda and Knative. The study analyzes t
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Adusumilli, Lakshmi Vara Prasad. "Serverless Kubernetes: The Evolution of Container Orchestration." European Journal of Computer Science and Information Technology 13, no. 30 (2025): 20–36. https://doi.org/10.37745/ejcsit.2013/vol13n302036.

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This article examines the convergence of serverless computing and Kubernetes orchestration, representing a significant advancement in cloud-native architecture. Serverless Kubernetes implementations address fundamental operational challenges of traditional container orchestration while preserving its powerful capabilities. It explores the technical foundations enabling this evolution, including Virtual Kubelet for node abstraction, KEDA for event-driven scaling, and Knative for serverless abstractions. It analyzes implementations from major cloud providers—AWS EKS on Fargate, Azure Container I
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Naayini, Prudhvi. "Scalable AI Model Deployment and Management on Serverless Cloud Architecture." International Journal of Electrical, Electronics and Computers 9, no. 1 (2024): 1–12. https://doi.org/10.22161/eec.91.1.

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Scalable deployment of deep learning models in the cloud faces challenges in balancing performance, cost, and manageability. This paper investigates serverless cloud architecture for AI model inference, focusing on AWS technologies such as AWS Lambda, API Gateway, and Kubernetes-based serverless extensions (e.g., AWS EKS with Knative). We first outline the limitations of traditional, server-based model hosting to motivate the serverless approach. Then, we present novel strategies for scalable model serving: an adaptive resource provisioning algorithm, intelligent model caching, and efficient m
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Li, Dazhi, Jiaang Duan, Yan Yao, et al. "SoDa: A Serverless-Oriented Deadline-Aware Workflow Scheduling Engine for IoT Applications in Edge Clouds." Wireless Communications and Mobile Computing 2022 (October 7, 2022): 1–20. http://dx.doi.org/10.1155/2022/7862911.

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As a coordination tool, workflow with a large number of interdependent tasks has increasingly become a new paradigm for orchestrating computationally intensive tasks in large-scale and complex Internet of Things (IoT) applications. Serverless computing has also recently been applied to real-world problems at the network edge as well, primarily aimed at event based IoT applications. However, the existing workflow scheduling algorithm based on the virtual machine resource model is inefficient in ensuring the QoS (Quality of Service) of users on the serverless platform. In this paper, we design a
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Pentaparthi, Sai Kalyan Reddy. "Dissecting Serverless Computing for AI-Driven Network Functions: Concepts, Challenges, and Opportunities." European Journal of Computer Science and Information Technology 13, no. 6 (2025): 1–12. https://doi.org/10.37745/ejcsit.2013/vol13n6112.

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Serverless computing represents a transformative paradigm in cloud architecture that is fundamentally changing how network functions are deployed and managed. This article examines the intersection of serverless computing and artificial intelligence in the context of network functions, highlighting how this convergence enables more efficient, scalable, and intelligent network operations. The serverless model abstracts infrastructure management while offering automatic scaling and consumption-based pricing, creating an ideal environment for deploying AI-driven network capabilities. The architec
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Anila, Gogineni. "Helm for Continuous Delivery of Serverless Applications on Kubernetes." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 6 (2021): 1–11. https://doi.org/10.5281/zenodo.14880986.

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This paper focuses on exploring the utilization of Helm in enabling coantinuous delivery of serverless applications that run on the Kubernetes. Helm helps in covering a package manager for Kubernetes that makes the packaging of serverless architecture more solid with the template Helm charts. By using these charts, developers are able to consolidate and orchestrate deployment pipelines over different environments. The problem addressed in the study is related to real-world issues of serverless applications, focusing on how serverless technologies have to work with Kubernetes, issues with multi
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A., Shevchenko, and Puzyrov S. "DEVELOPMENT OF THE HARDWARE AND SOFTWARE PLATFORM FOR MODERN IOT SOLUTIONS BASED ON FOG COMPUTING USING CLOUD-NATIVE TECHNOLOGIES." Computer systems and network 2, no. 1 (2017): 102–12. http://dx.doi.org/10.23939/csn2020.01.102.

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The concept of digital transformation is very relevant at the moment due to the epidemiological situation and the transition of the world to the digital environment. IoT is one of the main drivers of digital transformation. The Internet of Things (IoT) is an extension of the Internet, which consists of sensors, controllers, and other various devices, the so-called "things," that communicate with each other over the network. In this paper, the development of hardware and software for the organization of fog and edge computing was divided into three levels: hardware, orchestration, application.
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Hong, Sara, Yeeun Kim, Jaehyun Nam, and Seongmin Kim. "On the Analysis of Inter-Relationship between Auto-Scaling Policy and QoS of FaaS Workloads." Sensors 24, no. 12 (2024): 3774. http://dx.doi.org/10.3390/s24123774.

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A recent development in cloud computing has introduced serverless technology, enabling the convenient and flexible management of cloud-native applications. Typically, the Function-as-a- Service (FaaS) solutions rely on serverless backend solutions, such as Kubernetes (K8s) and Knative, to leverage the advantages of resource management for underlying containerized contexts, including auto-scaling and pod scheduling. To take the advantages, recent cloud service providers also deploy self-hosted serverless services by facilitating their on-premise hosted FaaS platforms rather than relying on comm
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Pinnapareddy, Nishanth Reddy. "Serverless Computing & Function-as-a-Service (FaaS) Optimization." American Journal of Engineering and Technology 07, no. 04 (2025): 65–88. https://doi.org/10.37547/tajet/volume07issue04-09.

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Function-as-a-Service (FaaS) in cloud computing is a critical optimization problem that needs to be tackled, including cold start latency, resource inefficiency, state management, and more. While FaaS provides obvious scalability and lower cost benefits, the lack of availability of resources and the problem of cold starts to prevent it from being used for high-performance applications. Pre-warming, snapshotting, and on-demand instantiation with lightweight runtimes, such as WebAssembly, are other ways to minimize cold start delays. It also benchmarks major FaaS platforms (AWS Lambda, Google Cl
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Pinnapareddy, Nishanth Reddy. "Serverless Computing & Function-as-a-Service (FaaS) Optimization." American Journal of Engineering and Technology 05, no. 05 (2023): 17–41. https://doi.org/10.37547/tajet/volume05issue05-09a.

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Function-as-a-Service (FaaS) in cloud computing is a critical optimization problem that needs to be tackled, including cold start latency, resource inefficiency, state management, and more. While FaaS provides obvious scalability and lower cost benefits, the lack of availability of resources and the problem of cold starts to prevent it from being used for high-performance applications. Pre-warming, snapshotting, and on-demand instantiation with lightweight runtimes, such as WebAssembly, are other ways to minimize cold start delays. It also benchmarks major FaaS platforms (AWS Lambda, Google Cl
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Dissertations / Theses on the topic "Knative"

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Tentarelli, Edoardo. "Architetture serverless per algoritmi massicciamente paralleli in ambito Industria 4.0." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20286/.

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L’edge computing permette di distribuire l’elaborazione di servizi direttamente sulle macchine di produzione, evitando di inviare la richiesta verso data center esterni all’organizzazione, con vantaggi evidenti in termini di latenza e sicurezza. Questo modello di esecuzione, molto diffuso in industria manufatturiera, sta portando ad una migrazione dei servizi verso ambienti edge, ma la quantità limitata di risorse rende difficile il deployment di servizi computazionalmente onerosi verso questo modello. Ultimamente, sono state rilasciate sul mercato piattaforme che garantiscono la completa ge
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Fernández, Bravo Elena. "Modelling and testing of a solar panel structure for KNATTE (Kinesthetic Node and Autonomous Table-Top Emulator)." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-87200.

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One of the challenges that satellites face is the interaction between control movement and vibration of flexible appendages such as solar arrays and antennas that can negatively affect the performance of the spacecraft. The aim of this thesis is to develop a numerical model of a solar panel structure for KNATTE, a frictionless platform developed by the Onboard Space Systems group at Luleå University of Technology, and develop a control law that reduces the flexible vibration of the solar arrays when attitude control manoeuvres are performed. A set of solar panel structures have been designed a
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Books on the topic "Knative"

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Chester, Jacques. Knative in Action. Manning Publications Co. LLC, 2021.

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Chester, Jacques. Knative in Action. Manning Publications Co. LLC, 2021.

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3

Sutter, Burr, and Kamesh Sampath. Knative Cookbook: Building Effective Serverless Applications with Kubernetes and OpenShift. O'Reilly Media, Incorporated, 2020.

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Building Serverless Applications on Knative: A Guide to Designing and Writing Serverless Cloud Applications. O'Reilly Media, Incorporated, 2023.

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Conference papers on the topic "Knative"

1

Ciptaningtyas, Henning Titi, Ridho Rahman Hariadi, Fuad Dary Rosyadi, and Syakhisk Syari Al Azmi. "Serverless Computing Model Using Kubernetes and Knative in a Scalable Cloud Development." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10942132.

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Fan, Dayong, and Dongzhi He. "Knative Autoscaler Optimize Based on Double Exponential Smoothing." In 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2020. http://dx.doi.org/10.1109/itoec49072.2020.9141858.

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Goodwin, Tim, Andrew Quinn, and Lindsey Kuper. "What goes wrong in serverless runtimes? A survey of bugs in Knative Serving." In SESAME '23: 1st Workshop on SErverless Systems, Applications and MEthodologies. ACM, 2023. http://dx.doi.org/10.1145/3592533.3592806.

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You might also be interested in the extended bibliographies on the topic 'Knative' for particular source types:
Journal articles
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