EDGELESS ProjectApr 2

#Worldine, coordinator of the European #EDGELESS project, has implemented the state manager function for the #HealthCare Assistant (HCA) Use Case, that manages the data collected by sensors maintaining it within a time window. This implementation has included the integration with the Edgeless State Management system developed by Cambridge.

More information here: http://www.edgeless-project.eu

#AI, #serverlesscomputing, #HealthCare

Home - Edgeless Project

Welcome to EDGELESS Cognitive edge-cloud with serverless computing EDGELESS project aims to leverage the serverless concept in all the layers in the edge-cloud continuum to fully benefit from diverse and decentralised computational resources available on-demand close to where data are produced or consumed. In particular, we aim at realising an efficient and transparent horizontal pooling […]

Edgeless Project
Tycoon WorldMar 27

AWS Skill Builder: Empowering Professionals with Future-Ready Cloud Skills

#AWSSkillBuilder #CloudSkills #FutureReadyProfessionals #CloudComputing #AWSLearning #DigitalUpskilling #TechEducation #AIandML #DataAnalytics #CloudSecurity #AWSCertified #CareerGrowth #AWSExperts #ServerlessComputing #DevOpsTraining #CyberSecurity #HandsOnLearning #CloudTrends #CareerOpportunities #FlexibleLearning #AWSCertifications #TechInnovation

https://tycoonworld.in/aws-skill-builder-empowering-professionals-with-future-ready-cloud-skills/

AWS Skill Builder: Empowering Professionals with Future-Ready Cloud Skills – Tycoon World

The digital revolution has changed how professionals acquire new skill sets. In today’s ever-changing technology landscape, learning is no longer an option

Tycoon World
PineriumMar 20

Thrilled to meet the Zoho Catalyst team at Zoho HQ, discussing the 2025 roadmap and the future of serverless computing & AI-powered development. Big things coming!

#Pinerium #OmnipresentIntegratedSolutions #ZohoCatalyst #FutureOfDevelopment #ServerlessComputing #PineriumAtZoho #ZohoCollaboration

EDGELESS ProjectMar 10

#Worldine, coordinator of the European #EDGELESS project, has implemented a CI pipeline for EDGELESS that builds #Dockerimages automatically when a release is generated for the main system components: Orchestrator, Controller and Node.This allows users to deploy an EDGELESS cluster easily executing just a few commands.

More information here: http://www.edgeless-project.eu

#EDGELESS #AI #serverlesscomputing

Home - Edgeless Project

Welcome to EDGELESS Cognitive edge-cloud with serverless computing EDGELESS project aims to leverage the serverless concept in all the layers in the edge-cloud continuum to fully benefit from diverse and decentralised computational resources available on-demand close to where data are produced or consumed. In particular, we aim at realising an efficient and transparent horizontal pooling […]

Edgeless Project
zartomFeb 11
Troubleshooting AWS Lambda Python LZ4 issues? Learn how to resolve the "lz4 codec is supported but you need to install python-lz4" error using containerization, version pinning, and robust testing. #AWSSolutions #LambdaFunctions #PythonProgramming #ServerlessComputing #LZ4Compression #CloudComputing
https://tech-champion.com/cloud-computing/aws-lambda-python-lz4-error-lz4-codec-is-supported-but-you-need-to-install-python-lz4
Milani CasoJan 22
CloudX 2025 https://www.semanarioregionaldenoticias.com/event/cloudx-2025/ #CloudX2025
CloudComputing
#CloudInnovation
#TechConference
#CloudTech
#CloudEngineers
#CloudDevelopers
#FutureOfCloud
#CloudNetworking
#TechEvents
#CloudSecurity
#AIinCloud
#ServerlessComputing
#CloudNative
EDGELESS ProjectJan 10

✨ EDGELESS Has Landed on Mastodon! ✨

We are the EDGELESS project, and we are excited to join this platform.
Our work focuses on making edge and cloud computing smarter and more connected using serverless technologies.

Follow us for the latest updates, innovations, and events as we explore the future of Cognitive Edge-Cloud! 🌐

Learn more about our project at https://edgeless-project.eu/

#EDGELESS #CognitiveEdgeCloud #ServerlessComputing #Innovation #EdgeComputing

Home - Edgeless Project

Welcome to EDGELESS Cognitive edge-cloud with serverless computing EDGELESS project aims to leverage the serverless concept in all the layers in the edge-cloud continuum to fully benefit from diverse and decentralised computational resources available on-demand close to where data are produced or consumed. In particular, we aim at realising an efficient and transparent horizontal pooling […]

Edgeless Project
WeblineGlobalDec 26

Technology evolves rapidly, and we stay ahead of the curve. From serverless computing to edge AI, we ensure your business remains at the forefront of innovation.

Let’s take the next step together. https://www.weblineglobal.com/contact-us.html

#TechInnovation #EdgeAI #ServerlessComputing #FutureTech #DigitalTransformation #AI #Business #AIInBusiness #Technology

Contact Us to Hire Software Programmers | WeblineGlobal

Contact us to hire programmers for your Enterprise, Web and Mobility Solutions needs. You can reach us at info@weblineglobal.com

weblineglobal
Kevin Karhan Sep 12, 2024

Just don't do the #Cloud, because it's a #scam that aims to bleed companies and organizations dry of #money.

I know this because I was involved in said projects where the disrespectful increase of #costs for #CloudComputing turned the #ROI from decades into years if not quarters at the projected increase of workloads.

Why you're addicted to cloud computing

YouTube
Cheryl LeeMay 2, 2024

🌟 Excited to announce my paper "SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions" was accepted at #ICDE2024! I’ll present our solution to the #ColdStart problem on May 14 in Utrecht, Netherlands. 🚀

🔍 We introduce SPES, a novel scheduler that significantly reduces cold start rates by 49.77% and cuts resource waste by 56.43%, outperforming current methods.

📈 Join me at #ICDE2024 to explore how SPES is enhancing #ServerlessComputing!

https://arxiv.org/abs/2403.17574

SPES: Towards Optimizing Performance-Resource Trade-Off for Serverless Functions

As an emerging cloud computing deployment paradigm, serverless computing is gaining traction due to its efficiency and ability to harness on-demand cloud resources. However, a significant hurdle remains in the form of the cold start problem, causing latency when launching new function instances from scratch. Existing solutions tend to use over-simplistic strategies for function pre-loading/unloading without full invocation pattern exploitation, rendering unsatisfactory optimization of the trade-off between cold start latency and resource waste. To bridge this gap, we propose SPES, the first differentiated scheduler for runtime cold start mitigation by optimizing serverless function provision. Our insight is that the common architecture of serverless systems prompts the concentration of certain invocation patterns, leading to predictable invocation behaviors. This allows us to categorize functions and pre-load/unload proper function instances with finer-grained strategies based on accurate invocation prediction. Experiments demonstrate the success of SPES in optimizing serverless function provision on both sides: reducing the 75th-percentile cold start rates by 49.77% and the wasted memory time by 56.43%, compared to the state-of-the-art. By mitigating the cold start issue, SPES is a promising advancement in facilitating cloud services deployed on serverless architectures.

arXiv.org