As companies continue to take advantage of the benefits of cloud – increased flexibility, speed of innovation and quickly responding to business demands, it is no wonder that they want to extend these benefits to the edge. But there are still a lot of questions.
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
In this talk, we will briefly review the current trend toward Edge Computing first. Then, characteristics and requirements for the Industrial Edge Computing will be addressed and discussed. Among them, Decentralized Fault-Resilient Architecture, Time-sensitive Operations, Data-centric Computation, Autonomous Systems and Flexibility are the most important ones. Some influential open-source projects for the industrial edge computing will also be introduced in this talk, including Cyclone DDS, ROS2, Autoware and zenoh.
Walking through the fog (computing) - Keynote talk at Italian Networking Work...FBK CREATE-NET
"Walking through the fog (computing): trends, use-cases and open issues"
Despite its huge success in many IT-enabled application scenarios, cloud computing has demonstrated some intrinsic limitations that may severely limit its adoption in several contexts where constraints like e.g. preserving data locally, ensuring real-time reactivity or guaranteeing operation continuity despite lack of Internet connectivity (or a combination of them) are mandatory. These distinguishing requirements fostered an increased interest toward computing approaches that inherit the flexibility and adaptability of the cloud paradigm, while acting in proximity of a specific scenario. As a consequence, the emergence of this “proximity computing” approach has exploded into a plethora of architectural solutions (and novel terms) like fog computing, edge computing, dew computing, mist computing but also cloudlets, mobile cloud computing, mobile edge computing (and probably few others I may not be aware of…). The talk will initially make an attempt to introduce some clarity among these “foggy” definitions by proposing a taxonomy whose aim is to help identifying their peculiarities as well as their overlaps. Afterwards, the most important components of a generalized proximity computing architecture will be explained, followed by the description of few research works and use cases investigated within our Center and based on this emerging paradigm. An overview of open issues and interesting research directions will conclude the talk.
IoT Meets the Cloud: The Origins of Edge ComputingMaria Gorlatova
History of edge computing: IoT meets the cloud. Lecture delivered as part of Duke University Electrical and Computer Engineering / Computer Science Special Topics course on Edge Computing designed and developed by the instructor.
In this talk, we will briefly review the current trend toward Edge Computing first. Then, characteristics and requirements for the Industrial Edge Computing will be addressed and discussed. Among them, Decentralized Fault-Resilient Architecture, Time-sensitive Operations, Data-centric Computation, Autonomous Systems and Flexibility are the most important ones. Some influential open-source projects for the industrial edge computing will also be introduced in this talk, including Cyclone DDS, ROS2, Autoware and zenoh.
Walking through the fog (computing) - Keynote talk at Italian Networking Work...FBK CREATE-NET
"Walking through the fog (computing): trends, use-cases and open issues"
Despite its huge success in many IT-enabled application scenarios, cloud computing has demonstrated some intrinsic limitations that may severely limit its adoption in several contexts where constraints like e.g. preserving data locally, ensuring real-time reactivity or guaranteeing operation continuity despite lack of Internet connectivity (or a combination of them) are mandatory. These distinguishing requirements fostered an increased interest toward computing approaches that inherit the flexibility and adaptability of the cloud paradigm, while acting in proximity of a specific scenario. As a consequence, the emergence of this “proximity computing” approach has exploded into a plethora of architectural solutions (and novel terms) like fog computing, edge computing, dew computing, mist computing but also cloudlets, mobile cloud computing, mobile edge computing (and probably few others I may not be aware of…). The talk will initially make an attempt to introduce some clarity among these “foggy” definitions by proposing a taxonomy whose aim is to help identifying their peculiarities as well as their overlaps. Afterwards, the most important components of a generalized proximity computing architecture will be explained, followed by the description of few research works and use cases investigated within our Center and based on this emerging paradigm. An overview of open issues and interesting research directions will conclude the talk.
A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and who’s problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
Edge AI Framework for Healthcare ApplicationsDebmalya Biswas
Edge AI enables intelligent solutions to be deployed on edge devices, reducing latency, allowing offline execution, and providing strong privacy guarantees. Unfortunately, achieving efficient and accurate execution of AI algorithms on edge devices, with limited power and computational resources, raises several deployment challenges. Existing solutions are very specific to a hardware platform/vendor. In this work, we present the MATE framework that provides tools to (1) foster model-to-platform adaptations, (2) enable validation of the deployed models proving their alignment with the originals, and (3) empower engineers and architects to do it efficiently using repeated, but rapid development cycles. We finally show the practical utility of the proposal by applying it on a real-life healthcare body-pose estimation app.
The Enterprise Internet of Things: Think Security FirstDell World
The proliferation of connected products and equipment creates an almost limitless combination of physical-cyber intersections and opportunities for security breaches. Designing enterprise Internet of Things (IoT) ecosystems must start with identifying potential security vulnerabilities and developing a unified security approach to keep a step ahead of threats and maintain a predictive, proactive security posture. Securing IoT ecosystems is complex but with the industry's broadest portfolio of security tools and expertise—and a holistic approach—Dell helps reduce security risk to ensure your enterprise infrastructure and data remain safe, secure and private. This session will discuss the unique security risks in IoT ecosystems and the strategies and tools for addressing them.
Edge Computing Platforms and Protocols - Ph.D. thesisNitinder Mohan
Introductory presentation for Ph.D. thesis of Nitinder Mohan titled "Edge Computing Platforms and Protocols". The defense took place at the University of Helsinki, Finland on 8th November 2019.
The video of the presentation is available at https://youtu.be/dDVZozTwreE
The thesis can be found on https://helda.helsinki.fi/handle/10138/306041
Get Cloud Resources to the IoT Edge with Fog ComputingBiren Gandhi
Fog Computing as a foundational architectural concept for Internet of Things (IoT) and Internet of Everything (IoE).
Embedded devices in the IoT are hampered by the compute, storage, and service limitations of living life on the edge. As IoT edge devices comprise broader sensor networks for industrial automation, transportation, and other safety critical applications, their high uptime requirements are nonnegotiable and service latencies must be kept within realtime or near real time parameters. However, the size, weight, power, and cost constraints of edge platforms also inhibit the ondevice resources available for executing such functions. In this session, Gandhi will introduce Fog Computing, a new paradigm for the IoT that extends compute, storage, and application resources from the cloud to the network edge. Beyond the interplay between Fog and Cloud, Gandhi will show how Fog services can be leveraged across a range of heterogeneous platforms—from end user devices and access points to edge routers and switches—through software technology that facilitates the collection, storage, analysis, and fusion of data to drive success in your next IoT device deployment.
Introduction to Cloud computing Delivered in December 2015 very basic High level over view. what will follow will be a further dive into Ericsson Cloud.
Fog Computing extends the Cloud Computing paradigm close to the edge of network, and thus enabling a new breed of applications and services.
This is why it is also sometimes called as Edge computing but the defining characteristics of the Fog are: Low latency, Mobility, High efficiency and performance.
In this presentation we will talk about What is Fog Computing, how is it different from Edge computing, its benefits and limitations and how it will shape the future of IoT.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
(R)evolution of the computing continuum - A few challengesFrederic Desprez
Initially proposed to interconnect computers worldwide, the Internet has significantly evolved to become in two decades a key element in almost all our activities. This (r)evolution mainly relies on the progress that has been achieved in computation and communication fields and that has led to the well-known and widely spread Cloud Computing paradigm.
With the emergence of the Internet of Things (IoT), stakeholders expect a new revolution that will push, once again, the limits of the Internet, in particular by favouring the convergence between physical and virtual worlds. This convergence is about to be made possible thanks to the development of minimalist sensors as well as complex industrial physical machines that can be connected to the Internet through edge computing infrastructures.
Among the obstacles to this new generation of Internet services is the development of a convenient and powerful framework that should allow operators, and devops, to manage the life-cycle of both the digital infrastructures and the applications deployed on top of these infrastructures, throughout the cloud to IoT continuum.
In this keynote, Frédéric Desprez and his colleague Adrien Lebre presented research issues and provide preliminary answers to identify whether the challenges brought by this new paradigm is an evolution or a revolution for our community.
A revolution is going on at the Edge of the Network.
Why Edge is important?
How Edge Computing is shaping the way we do IoT, AR/VR, Big Data, Machine Learning and Analytics applications.
What are the important problems and who’s problem is this?
What solutions Industry is looking into right now?
This review of the "Industry report by SDxCentral" summarizes what is going on in the Industry.
Edge AI Framework for Healthcare ApplicationsDebmalya Biswas
Edge AI enables intelligent solutions to be deployed on edge devices, reducing latency, allowing offline execution, and providing strong privacy guarantees. Unfortunately, achieving efficient and accurate execution of AI algorithms on edge devices, with limited power and computational resources, raises several deployment challenges. Existing solutions are very specific to a hardware platform/vendor. In this work, we present the MATE framework that provides tools to (1) foster model-to-platform adaptations, (2) enable validation of the deployed models proving their alignment with the originals, and (3) empower engineers and architects to do it efficiently using repeated, but rapid development cycles. We finally show the practical utility of the proposal by applying it on a real-life healthcare body-pose estimation app.
The Enterprise Internet of Things: Think Security FirstDell World
The proliferation of connected products and equipment creates an almost limitless combination of physical-cyber intersections and opportunities for security breaches. Designing enterprise Internet of Things (IoT) ecosystems must start with identifying potential security vulnerabilities and developing a unified security approach to keep a step ahead of threats and maintain a predictive, proactive security posture. Securing IoT ecosystems is complex but with the industry's broadest portfolio of security tools and expertise—and a holistic approach—Dell helps reduce security risk to ensure your enterprise infrastructure and data remain safe, secure and private. This session will discuss the unique security risks in IoT ecosystems and the strategies and tools for addressing them.
Edge Computing Platforms and Protocols - Ph.D. thesisNitinder Mohan
Introductory presentation for Ph.D. thesis of Nitinder Mohan titled "Edge Computing Platforms and Protocols". The defense took place at the University of Helsinki, Finland on 8th November 2019.
The video of the presentation is available at https://youtu.be/dDVZozTwreE
The thesis can be found on https://helda.helsinki.fi/handle/10138/306041
Get Cloud Resources to the IoT Edge with Fog ComputingBiren Gandhi
Fog Computing as a foundational architectural concept for Internet of Things (IoT) and Internet of Everything (IoE).
Embedded devices in the IoT are hampered by the compute, storage, and service limitations of living life on the edge. As IoT edge devices comprise broader sensor networks for industrial automation, transportation, and other safety critical applications, their high uptime requirements are nonnegotiable and service latencies must be kept within realtime or near real time parameters. However, the size, weight, power, and cost constraints of edge platforms also inhibit the ondevice resources available for executing such functions. In this session, Gandhi will introduce Fog Computing, a new paradigm for the IoT that extends compute, storage, and application resources from the cloud to the network edge. Beyond the interplay between Fog and Cloud, Gandhi will show how Fog services can be leveraged across a range of heterogeneous platforms—from end user devices and access points to edge routers and switches—through software technology that facilitates the collection, storage, analysis, and fusion of data to drive success in your next IoT device deployment.
Introduction to Cloud computing Delivered in December 2015 very basic High level over view. what will follow will be a further dive into Ericsson Cloud.
Fog Computing extends the Cloud Computing paradigm close to the edge of network, and thus enabling a new breed of applications and services.
This is why it is also sometimes called as Edge computing but the defining characteristics of the Fog are: Low latency, Mobility, High efficiency and performance.
In this presentation we will talk about What is Fog Computing, how is it different from Edge computing, its benefits and limitations and how it will shape the future of IoT.
The term “fog computing” or “edge computing” means that rather than hosting and working from a centralized cloud, fog systems operate on network ends. It is a term for placing some processes and resources at the edge of the cloud, instead of establishing channels for cloud storage and utilization.
(R)evolution of the computing continuum - A few challengesFrederic Desprez
Initially proposed to interconnect computers worldwide, the Internet has significantly evolved to become in two decades a key element in almost all our activities. This (r)evolution mainly relies on the progress that has been achieved in computation and communication fields and that has led to the well-known and widely spread Cloud Computing paradigm.
With the emergence of the Internet of Things (IoT), stakeholders expect a new revolution that will push, once again, the limits of the Internet, in particular by favouring the convergence between physical and virtual worlds. This convergence is about to be made possible thanks to the development of minimalist sensors as well as complex industrial physical machines that can be connected to the Internet through edge computing infrastructures.
Among the obstacles to this new generation of Internet services is the development of a convenient and powerful framework that should allow operators, and devops, to manage the life-cycle of both the digital infrastructures and the applications deployed on top of these infrastructures, throughout the cloud to IoT continuum.
In this keynote, Frédéric Desprez and his colleague Adrien Lebre presented research issues and provide preliminary answers to identify whether the challenges brought by this new paradigm is an evolution or a revolution for our community.
It is an exciting time in computing with the sea-change happening both on the technology fronts and application fronts. Networked sensors and embedded platforms with significant computational capabilities with access to backend utility computing resources, offer a tremendous opportunity to realize large-scale cyber-physical systems (CPS) to address the many societal challenges including emergency response, disaster recovery, surveillance, and transportation. Referred to as Situation awareness applications, they are latency-sensitive, data intensive, involve heavy-duty processing, run 24x7, and result in actuation with possible retargeting of sensors. Examples include surveillance deploying large-scale distributed camera networks, and personalized traffic alerts in vehicular networks using road and traffic sensing. This talk covers ongoing research in Professor Ramachandran’s embedded pervasive lab to provide system support for Internet of Things.
With all the hype around Cloud and SDN, business decision makers are finding themselves trying to navigate through many new concepts and consequently needing to change the way they have traditionally selected their IT infrastructure. Technologies are now becoming more integrated and it is more important than ever to help your business be agile enough to keep up with the demands of your users and your customers. Come hear from Lisa Guess to learn how organizations can embrace Cloud technologies such as automation, SDN and Orchestration platforms to help you build next-generation networks.
FogFlow: Cloud-Edge Orchestrator in FIWAREBin Cheng
fog computing framework with agile programming models. It allows IoT service providers to easily design and implement their services, meanwhile automatically launching dynamic data processing flows over cloud and edges in an optimized manner.
Internet of Things A Vision, Architectural Elements, and Future Directions Mostafa Arjmand
Present paper aboat Internet of Things (IoT) A Vision, Architectural Elements, and Future Directions
Overall IoT vision and the technologies that will achieve the it
Application domains in IoT with a new approach in defining them
Cloud centric Internet of Things realization and challenges
Case study of data analytics on the Aneka/Azure cloud platform
Open Challenges and Future Directions
Smart environment application domains
Cloud computing
Cloud centric Internet of Things
Microsoft Azure
Privacy preserving public auditing for secured cloud storagedbpublications
As the cloud computing technology develops during the last decade, outsourcing data to cloud service for storage becomes an attractive trend, which benefits in sparing efforts on heavy data maintenance and management. Nevertheless, since the outsourced cloud storage is not fully trustworthy, it raises security concerns on how to realize data deduplication in cloud while achieving integrity auditing. In this work, we study the problem of integrity auditing and secure deduplication on cloud data. Specifically, aiming at achieving both data integrity and deduplication in cloud, we propose two secure systems, namely SecCloud and SecCloud+. SecCloud introduces an auditing entity with a maintenance of a MapReduce cloud, which helps clients generate data tags before uploading as well as audit the integrity of data having been stored in cloud. Compared with previous work, the computation by user in SecCloud is greatly reduced during the file uploading and auditing phases. SecCloud+ is designed motivated by the fact that customers always want to encrypt their data before uploading, and enables integrity auditing and secure deduplication on encrypted data.
Similar to What is Your Edge From the Cloud to the Edge, Extending Your Reach (20)
Les Rodeos SUSE NeuVector sur la sécurité des conteneurs sont des sessions en ligne gratuites et approfondies, conçues pour les praticiens de tous niveaux.
Les sujets clés qui seront couverts :
- Les défis actuels de la sécurité des conteneurs
- Les capacités de NeuVector
- Le déploiement d'un cluster Kubernetes et NeuVector
- Un aperçu de l'interface utilisateur de NeuVector et de ce à quoi elle ressemble lors du déploiement initial
- Le déploiement d'un exemple d'application sur un cluster
- Ce à quoi il faut s'attendre lorsque votre cluster K8s reçoit une nouvelle application.
- Le comportement de l'application
- Le changement de mode : comment/quand/pourquoi ?
- En bonus : s'amuser avec des scénarios d'attaque
La solution idéale pour sécuriser les infrastructures de conteneurs modernes
- Zero Trust
- Kubernetes Native
- 100% open source
- S'intègre à SUSE Rancher
Agenda :
- Présentation & architecture
- Installation
- Premiers pas
Au programme :
- Aperçu de Docker et Kubernetes
- Déploiement de Rancher
- Machine Provisioning
- Installation du serveur de Rancher
- Présentation de l'interface graphique
- Installation du cluster Kubernetes
- Management du cluster Kubernetes
- Déploiement applicatif
Harvester est une solution d’hyperconvergence
Les nœuds baremetal forment des clusters
Des machines virtuelles sont produites et stockées
Compute et Stockage partagent leurs ressources et s’étendent
Open-source, programmable, résilient, scalable et avec une interface agréable…
Au programme :
Architecture
Pratique & Cas d’utilisation
Une plongée dans le dernières fonctionnalités de SUSE NeuVector 5.0 :
- Détection des attaques WAF (Web Application Firewall)
- Protection automatisée des conteneurs (Zero Drift)
- Analyses des vulnérabilités SLE
- Intégration avec SUSE Rancher 2.6.5
Rancher et Kubernetes sont le moteur de la majorité des applications modernes en production. Mais la chaine d'automatisation permettant de livrer du code l'esprit léger commence bien plus en amont grace à un outillage Open Source.
Au programme :
- Commit Code : Avec Gitlab et les outils de collaboration
- Build Image : Toujours plus de fiabilité avec les images SLE Base Container Image
- Store in Registry : Archivage et scan de vulnérabilité avec Harbor
- Test & Go : Livraison en continue avec le mode GitOps et Rancher Fleet
CentOS Linux 8 a atteint le stade de "fin de vie" (EOL) le 31 décembre dernier. Depuis le 1er janvier 2022, CentOS Stream est donc devenu uniquement une branche de développement de Red Hat.
Quelles sont les conséquences pratiques de ce changement annoncé quelques mois auparavant ?
Quelles différences entre Red Hat / CentOS et SUSE / openSUSE ?
Quelles solutions s’offrent à vous pour préserver la stabilité de votre infrastructure Linux ?
Aperçu de Docker et Kubernetes
Déploiement de Rancher
- Machine Provisioning
- Installation du serveur de Rancher
- Présentation de l'interface graphique
Déploiement de Kubernetes
- Installation du cluster Kubernetes
- Management du cluster Kubernetes
- Déploiement applicatif
Au programme :
- Exemple d'architecture chez un client
- Infrastructure as Code et cycle de vie
- Prise en main : log et monitoring
- Day 2 : backup avec Longhorn, mises à jour, gestion de la scalabilité
Replay du webinar sur https://www.youtube.com/watch?v=zDPlFbTKoAs
Présentation d'une usine logicielle : du code jusqu'à la production en utilisant des composants SUSE & Rancher et des tierces parties telles que GitLab, Harbor.
Replay du webinar sur https://youtu.be/WuG716Io7sw
Présentation de notre webinar du 27 janvier 2022.
Replay disponible sur https://more.suse.com/FY22Q1_FM_EM-SO-FR_SR_CLDNT_WEB_Harvester_Launch_Meetup_FR_RegistrationPage.html
• L'importance du Edge Computing dans les innovations à venir
• De la cafetière au satellite, une solution pour plusieurs Edge ?
• Les challenge de la sécurité et de la maintenance pour le Edge
• Démonstration des solutions SUSE Rancher avec k3s
• Success Stories dans l'industrie
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
What is Your Edge From the Cloud to the Edge, Extending Your Reach
1. What is your edge?
From the cloud to the edge, extending your reach
April 2, 2019
Alan.Clark@suse.com
2. A Definition of Edge
“The delivery of computing capabilities to the logical extremes of a network
in order to improve the performance, operating cost and reliability of
applications and services. By shortening the distance between devices and
the cloud resources that serve them, and also reducing network hops, edge
computing mitigates the latency and bandwidth constraints of today's
Internet, ushering in new classes of applications.
In practical terms, this means distributing new resources and software stacks
along the path between today's centralized data centers and the increasingly
large number of devices in the field, concentrated, in particular, but not
exclusively, in close proximity to the last mile network, on both the
infrastructure side and the device side.” – State of the Edge 2018
2
4. Frictionless Shopping
Creating a seamless process from start to finish through the entire customer journey.
Modern consumers value
convenience and speed, the
ability to easily find products and
a fast checkout
CC BY 2.0 Guiseppe Milo,
5. Augmented Workforce
“One of the new rules for the
digital age is to expand our
vision of the workforce; think
about jobs in the context of
tasks that can be automated …
and the new role of human
skills…”
Public Domain
7. Manufacturing
Collecting data from
manufacturing machines in
real time, enabling the
company to accelerate failure
responses, reduce unplanned
downtime, improve factory-
floor maintenance, and
increase production efficiency
Steve Jurvetson, CC BY 2.0
8. More Case for Edge
Supply chain
Smart cities
Remote security
Video analytics
Location services
Optimized local content
distribution and data caching
Energy
Drones
Health Care
• Telemedicine
transportation solutions
• Driverless cars and trains
Mobile Connectivity
Remote Location (Finance/Retail)
Utilities (water, gas, electric,
facilities management)
9. Common Thread For The Edge Cases
Distributed infrastructure demands a different architecture
Characteristics
• Massive data growth
• Workloads move closer to the end user
• Software applications tap into local content
and real-time information
- Meet application latency (< 20 ms) requirements
• Deliver an improved end user experience
• Do not place unreasonable demands on
connectivity to the core
- Network needs to be smarter
- Work in conjunction with the core capacity
Sense Process Act
10. Common Thread For The Edge Cases
Characteristics
• Massive data growth
• Workloads move closer to the end user
• Software applications tap into local content
and real-time information
- Meet application latency (< 20 ms) requirements
• Deliver an improved end user experience
• Do not place unreasonable demands on
connectivity to the core
- Network needs to be smarter
- Work in conjunction with the core capacity
Distributed infrastructure demands a different architecture
Demands
• High service uptime
• Streamlined operation
- Admin/Operator - aggregate, supervise and
expose massively distributed infrastructure
resources
• DevOps
- Implement new kinds of services that may be
deployed/managed on-demand
• Critical infrastructure
- Enable high performance, reduce latency, improve
availability, scalability, address security need,
improve fault management
11. … More to consider…
Vast numbers of deployments
People time and skills demands
Remote or unreachable
environments
• Zero touch
• Physical designs – limited power, processing
capacity, security, dirt, humidity, vibration
Moving data isn’t free
• The data transfer & compute requirements
vary by network layer
Consistency with the core
• Think Control
- Unified orchestration
• operational mechanisms
• Service management
life cycle management
- Easy deployment
- Low touch manageability
- Maintainability
- Rapid response to events
- Fast recovery
- Fault management
12. Open Source Edge - Chaos?
IEEE-SA(1934)
ETSI-MEC
Edge Computing Group
15. Fog computing is a:
A horizontal, system-level architecture that distributes computing, storage, control
and networking functions closer to the users along a cloud-to-thing continuum.
An extension of the traditional cloud-based computing model
• Where implementations of the architecture can reside in multiple layers of a network’s topology
Preserved benefits of cloud
• Including containerization, virtualization, orchestration, manageability, and efficiency
Architecture Pillars of OpenFog
• Security, scalability, openness, autonomy, RAS (reliability, availability and serviceability), agility,
hierarchy, and programmability.
17. Open Source Edge
IEEE-SA(1934)
ETSI-MEC
Edge Computing Group
Encompasses various
approaches to disperse
Information Technology (IT),
Communication Technology
(CT) and Operational
Technology (OT) Services
through information
messaging infrastructure as
well as legacy and
emerging multi-access
networking technologies
18. Open Source Edge
IEEE-SA(1934)
ETSI-MEC
Edge Computing Group
Creating a standardized,
open environment which
will allow the efficient
and seamless integration
of applications from
vendors, service
providers, and third-
parties across multi-
vendor Multi-access
Edge Computing
platforms
19. ETSI MEC Specifications
Best Practice and Guidelines
Use Cases and Requirements
Technical Requirements
Reference Architecture
UE application interface
Bandwidth Management API
UE Identity API
Location API
General principles for Mobile
Edge Service APIs
Radio Network Information API
Mobile Edge Platform
Application Enablement
Mobile Edge Management;
Application lifecycle, rules
and requirements management
System, host and platform
management
General principles for MEC
Service APIs
22. LF Edge Umbrella
Akraino:
• An open source software stack that supports high-availability cloud services optimized for edge
computing systems and applications. The Akraino Edge Stack is designed to improve the state of
edge cloud infrastructure for enterprise edge, OTT edge, and carrier edge networks.
Edge X Foundry:
• A loosely-coupled microservices framework with a focus on the IoT Edge. It simplifies the process
to design, develop and deploy solutions across industrial, enterprise, and consumer applications.
Edge Virtualization Engine:
• A new project to develop new levels of control of cloud native applications through virtualization of
on-prem edge devices.
Home Edge:
• Intelligent home edge computing open source framework, platform and ecosystem running on a
variety of devices with interoperable, flexible, and scalable edge computing services with a set of
APIs that can also run with libraries and runtimes.
