Delegation-based Authentication and Authorization for the IP-based IoT
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This paper proposes a delegation-based authentication and authorization scheme for IP-based IoT devices. It describes the DTLS protocol and its requirements that are challenging for resource-constrained devices. The paper presents a design where a delegation server performs the resource-intensive public-key operations during handshake and distributes session tickets for future authentication. Evaluation shows the design reduces computation, memory, and transmission overhead on IoT devices compared to directly using DTLS.
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This document provides an overview and agenda for a presentation on tuning Oracle GoldenGate performance. It discusses measuring baseline GoldenGate performance metrics like lag times and checkpoints. It also covers tuning GoldenGate configurations like using multiple process groups. The document recommends tuning the operating system by monitoring CPU, memory, and disk I/O performance and addressing any bottlenecks found. The goal of these tuning efforts is to reduce lag times and optimize GoldenGate throughput.
Telco junho cost-effective approach for telco network analysis in 5_g_final
This document describes SK Telecom's TINA network visibility platform for analyzing telco networks. TINA provides end-to-end network visibility to reduce total cost of ownership by over 50%. It uses a network packet broker with P4 programmability and DPDK-based probes to monitor traffic. Example use cases include monitoring SKT subscriber services, IPTV, and 4G/5G networks. Hardware includes Tofino switches and servers running FloX packet recording software.
Build a Time Series Application with Apache Spark and Apache HBase
This document discusses using Apache Spark and Apache HBase to build a time series application. It provides an overview of time series data and requirements for ingesting, storing, and analyzing high volumes of time series data. The document then describes using Spark Streaming to process real-time data streams from sensors and storing the data in HBase. It outlines the steps in the lab exercise, which involves reading sensor data from files, converting it to objects, creating a Spark Streaming DStream, processing the DStream, and saving the data to HBase.
Oracle GoldenGate Presentation from OTN Virtual Technology Summit - 7/9/14 (PDF)
This document provides an overview of Oracle GoldenGate and discusses performance tuning considerations. It begins with an introduction to GoldenGate's architecture and use cases. It then discusses the importance of baselining a GoldenGate implementation to understand existing performance. The document outlines how to gather baseline metrics on GoldenGate lag times, checkpoint information, and operating system CPU, memory, and disk I/O. It also provides GoldenGate tuning recommendations, such as using multiple process groups and parallel replication groups. The goal of performance tuning is to reduce lag times and optimize resource utilization.
DPDK Summit 2015 - Aspera - Charles Shiflett
DPDK Summit 2015 in San Francisco.
Presentation by Charles Shiflett, Aspera.
For additional details and the video recording please visit www.dpdksummit.com.
Cavity Data
The document describes the Cavity open source project, which was created in 2010 to avoid repeatedly writing the same data access code. It includes 43 solutions for various components like the core, data, diagnostics, and domain. The Cavity Data component uses the core library and supports comma- and tab-separated files read as immutable streams. It exposes data as enumerables for LINQ queries and can process hundreds of millions of records daily for a client. The philosophy is to optimize for high throughput of large, read-only data files.
Fun with Kubernetes and Payara Micro 5
When developing a microservices architecture using containers, orchestration is key to provide an elastic scalable infrastructure. Kubernetes (w/ Docker) and Payara Micro 5 make this possible! This talk will showcase how to implement all of this for a real production scenario!
High performace network of Cloud Native Taiwan User Group
The document discusses high performance networking and summarizes a presentation about improving network performance. It describes drawbacks of the current Linux network stack, including kernel overhead and data copying. It then discusses approaches like DPDK and RDMA that can help improve performance by reducing overhead and enabling zero-copy data transfers. A case study is presented on using RDMA to improve TensorFlow performance by eliminating unnecessary data copies between devices.
Reinventing anon email
Comparison of TAILS vs Liberte and their popularity counterparts Cables and Bitmessage. Presented at Rochester 2600.
ABCI: AI Bridging Cloud Infrastructure for Scalable AI/Big Data
National Institute of Advanced Industrial Science and Technology (AIST) in Japan is focusing on bridging innovative technological seeds to commercialization. It currently lacks cutting-edge computing infrastructure dedicated to AI and big data that is openly available. The proposed AI Bridging Cloud Infrastructure (ABCI) project aims to provide a large-scale open AI infrastructure to accelerate joint academic-industry R&D for AI in Japan. ABCI will feature 1088 compute nodes with 4352 NVIDIA Tesla V100 GPUs providing 0.550 exaflops of AI performance, connected by an InfiniBand network and utilizing liquid cooling technologies. It will provide an open platform for AI research, applications, services and infrastructure design through industry and academic
OSDC 2015: Tudor Golubenco | Application Performance Management with Packetbe...
Typical Application Performance Management (APM) solutions like New Relic, AppDynamics or Compuware are closed source because they require significant up-front development efforts. Due to the recent advances in open source storage and analytics technologies, it is now feasible to create a generic APM that is more applicable, more flexible and easier to integrate than the commercial alternatives.
The talk will present the requirements for a good open source APM solution and the proposed Packetbeat architecture to meet those requirements. It will demo our automation scripts for installing the complete Packetbeat system and it will show how to use it to monitor the performance of an example Django application. It will also introduce Bonito, a new web interface for the Packetbeat data which is complementary to Kibana. Finally, the talk will explain the differences in overhead and features when compared to the commercially available tools.
Boost on!!next generation big data platform
This document provides an overview of BOOST ON!!'s next generation big data platform. It introduces Neil Tu and his background in data engineering. The agenda covers Data Labs, their work in big data analysis using techniques like machine learning and deep learning. It then details the next generation data platform which includes a Datalake using Nifi for real-time ETL and a Datalake using Hadoop for storage, authentication, and authorization. For the Nifi datalake, it describes the data processing workflow including script execution, data merging, format conversion and partitioning to reduce storage size and boost query performance. For the Hadoop datalake, it outlines the Kerberos and LDAP authentication and Apache Ranger authorization security measures.
Big Data Approaches to Cloud Security
Slides of a talk given to the Seattle Chapter of the Cloud Security Alliance. Looks briefly at Architectures, Sources of Log Data, and behavioral signatures in the data and issues and observations around using Big Data products for security.
Infinispan, Data Grids, NoSQL, Cloud Storage and JSR 347
Manik Surtani is the founder and project lead of Infinispan, an open source data grid platform. He discussed data grids, NoSQL, and their role in cloud storage. Data grids evolved from distributed caches to provide features like querying, task execution, and co-location control. NoSQL systems are alternative data storage that is scalable and distributed but lacks relational structure. JSR 347 aims to standardize data grid APIs for the Java platform. Infinispan implements JSR 107 and will support JSR 347, acting as the reference backend for Hibernate OGM.
Calum McCrea, Software Engineer at Kx Systems, "Kx: How Wall Street Tech can ...
Calum McCrea, Software Engineer at Kx Systems speaking at Big Data, Paris v 6.0 on April 27, 2017
"Kx: How Wall Street Tech can Speed up the World"
Paul Dix [InfluxData] | InfluxDays Opening Keynote | InfluxDays Virtual Exper...
Paul Dix, CTO and co-founder of InfluxData, discussed the future of InfluxDB and the release of InfluxDB 2.0 Open Source. He explained that InfluxDB 2.0 has been rebuilt from the ground up to address limitations of the original InfluxDB like lack of distributed features and poor performance for high cardinality analytics data. The new database, called InfluxDB IOx, uses a columnar data store with parquet files and is designed to be distributed, federated, and able to run analytics at scale on high cardinality data.
Dissecting Scalable Database Architectures
Presentation by Doug Judd, co-founder of Hypertable Inc, at Groupon office in Palo Alto, CA on November 15th, 2012.
Similar to Delegation-based Authentication and Authorization for the IP-based IoT (20)
Big Data Retrospective - STL Big Data IDEA Jan 2019
Big Data Retrospective - STL Big Data IDEA Jan 2019
Telco junho cost-effective approach for telco network analysis in 5_g_final
Telco junho cost-effective approach for telco network analysis in 5_g_final
Build a Time Series Application with Apache Spark and Apache HBase
Build a Time Series Application with Apache Spark and Apache HBase
Oracle GoldenGate Presentation from OTN Virtual Technology Summit - 7/9/14 (PDF)
Oracle GoldenGate Presentation from OTN Virtual Technology Summit - 7/9/14 (PDF)
High performace network of Cloud Native Taiwan User Group
High performace network of Cloud Native Taiwan User Group
ABCI: AI Bridging Cloud Infrastructure for Scalable AI/Big Data
ABCI: AI Bridging Cloud Infrastructure for Scalable AI/Big Data
OSDC 2015: Tudor Golubenco | Application Performance Management with Packetbe...
OSDC 2015: Tudor Golubenco | Application Performance Management with Packetbe...
Infinispan, Data Grids, NoSQL, Cloud Storage and JSR 347
Infinispan, Data Grids, NoSQL, Cloud Storage and JSR 347
Calum McCrea, Software Engineer at Kx Systems, "Kx: How Wall Street Tech can ...
Calum McCrea, Software Engineer at Kx Systems, "Kx: How Wall Street Tech can ...
Paul Dix [InfluxData] | InfluxDays Opening Keynote | InfluxDays Virtual Exper...
Paul Dix [InfluxData] | InfluxDays Opening Keynote | InfluxDays Virtual Exper...
More from Joon Young Park
WheelLogger_WISA
This document summarizes research on inferring a driver's route using accelerometer data collected from their Apple Watch. The researchers designed a system with an application to collect accelerometer data from the watch and send it to an attacker's server. The extractor filters the raw data and calculates distance traveled. A turning detector uses machine learning algorithms to identify turns. A route drawer connects the locations to reconstruct the driver's route. Their experiments achieved 76-84% accuracy in inferring routes. The researchers conclude this is a privacy risk that shows sensitive information can be inferred through side-channel attacks using sensors.
Power spy
PowerSpy: Location Tracking using Mobile Device Power Analysis
Security paper, USENIX 2015, Dan Boneh
MoLe: Motion Leaks through Smartwatch Sensors
MoLe is a system that uses sensors in smartwatches to detect keystrokes by analyzing motion data during typing. It identifies keystroke-related movements using a bagged decision tree classifier and fits point clouds to determine centroids of typed characters. A Bayesian inference model incorporates sequential typing patterns and speed factors to assign probabilities to candidate words based on sensor observations. An evaluation with 8 subjects typing 300 words showed MoLe could guess words within the top 30% for 5 candidates and top 50% for 24 candidates. While sensor data leaks information, sampling rates can be reduced to mitigate these attacks. Wearables present both benefits and security risks that require consideration.
MACTANS: Injecting Malware
into iOS Devices via Malicious Chargers
Mactans is a proof-of-concept malicious charger that can inject malware into iOS devices via their charging port. It works by first obtaining the device's UDID to register it and generate a provisioning profile, allowing installation of apps signed by a non-Apple entity. The charger then replaces a legitimate app with a hidden, repackaged version containing malware. When launched, the malware executes before the original app. This attack highlights issues with iOS trusting any host device and the ease of provisioning profiles to install third-party apps without user interaction. Apple has since patched the vulnerabilities in iOS 7, but similar attacks may still target public charging stations or modified environments to infect devices stealthily.
Leave me alone; app level protection against runtime information gathering on...
This document discusses runtime information gathering (RIG) attacks on Android and proposes an app-level protection called AppGuardian. It describes challenges in protecting against RIG attacks due to vague Android permissions and information leaked via /proc files. AppGuardian monitors app behavior and permissions to detect suspicious RIG attacks like phone call recording. It kills suspicious apps and restricts their actions until the user confirms them. Evaluation shows AppGuardian defeats known RIG attacks with minimal overhead on CPU, memory, and battery usage. The document concludes RIG is a serious threat and AppGuardian provides effective app-level protection.
Android Security Internals (Lesson 3)
Package Signature
Package Installation
Encrypted Package
Forward Lock
Internet of secure things
The document discusses security challenges for IoT devices and what is needed to secure them. It outlines the OWASP IoT top 10 vulnerabilities, including issues like lack of encryption, authentication, and insecure interfaces. Key challenges are devices having critical functions, long lifecycles, proprietary protocols, and operation outside typical security perimeters. The conclusion states security must be designed into IoT devices from the start.
Electronic Signature
This document defines electronic signatures and discusses how they work using public key infrastructure (PKI). It explains that electronic signatures involve hashing document contents, encrypting the hash with a private key, and including the encrypted hash and public key in a digital certificate. It describes risks like man-in-the-middle attacks and the role of certificate authorities in verifying identities and signatures. The document also outlines standard certificate formats, details the components of a certificate, and explains how improved signing procedures provide non-repudiation of signed documents.
RSA Algorithm
This document discusses the RSA cryptosystem, including an overview of symmetric and asymmetric key algorithms, the founders of RSA, the RSA key generation algorithm in 5 steps, estimated times to crack RSA keys of different sizes, possible side-channel attacks on RSA, tutorials on implementing RSA, and references for further reading. It provides information on the basic concepts and implementation of the RSA cryptosystem.
SPINS: Security Protocols for Sensor Networks
This document summarizes a master's thesis on security protocols for sensor networks. It introduces SPINS, which defines requirements for data confidentiality, authentication, integrity, and freshness. It describes the SNEP, counter-exchanging, and μTESLA protocols. SNEP provides semantic security, authentication, and replay protection with low overhead. Counter-exchanging handles bootstrapping and re-synchronizing counters with nonces. μTESLA allows for authenticated broadcast from a base station to sensor nodes in an efficient way by disclosing authentication keys. The thesis evaluates the implementation and performance of these protocols.
MiTumb
MiTumb is a future technology Tumbler that makes people drink much more water in every life. It is just small Idea so this is just an proto type about this product.
License Plate Recognition
This presentation explains about video recognition using OpenCV. Simple algorithm and skills included.
Digital Forensics
Simple Explanation about Digital Forensics(DF). Procedure of DF, why we use DF, some programs for DF and etc.
LBSNS Flatform Business
This is about Location based SNS Flatform Business. It is for Travelers. Travelers can borrow tablet which has GPS, Maps and own SNS application. Many travelers can be helped by this tablet using GPS based map, Location based SNS information (such as place's view point, delicious foods..) and so on.
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MACTANS: Injecting Malware
into iOS Devices via Malicious Chargers
MACTANS: Injecting Malware
into iOS Devices via Malicious Chargers
Leave me alone; app level protection against runtime information gathering on...
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Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.Webinar: Designing a schema for a Data Warehouse
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
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Delegation-based Authentication and Authorization for the IP-based IoT
- 1. Delegation-based Authentication and Authorization for the IP-based IoT Embedded Security Lab. Park Joon-young
- 2. Contents • DTLS Protocol • Motive • Design • Evaluation • Conclusion
- 3. About Paper • 2014, IEEE SECON (Sensing, Communication, and Networking)
- 4. Introduction Limited Processing Power Limited Storage Low Bandwidth Inefficient Energy Unreliable Environment Sensors will have..
- 5. DTLS Protocol • TLS on Datagram • 6 Message Flight • Public-key-based + Symmetric-key-based • Verifies correctness
- 7. Run-time Req. (RAM) • Public-key Calculation + Certificate Parsing (1.4kB) • DTLS handshake (1.3kB) + stack size (1.8kB) 6.2kB + 1.8kB 10kB10kB OS APP
- 8. Implementation Size (ROM) •DTLS handshake (relic toolkit, 16kB) •Certificate Parsing (1.5kB) + Certificate Verification + Time Synchronization 64kB RAM + ROM
- 10. Design •Delegation Server - Key Distribution Center - DTLS handshake with remote end-point
- 11. Bootstrapping a constrained Device D DS R D D Physical contact or Wireless communication
- 16. Revocation D DS R D D symmetric-key-based DTLS handshake
- 17. Evaluation • symmetric-key-based tinyDTLS (openSSL) • WiSMote platform (Arduino, raspberry pi..) • 16MHz MSP430 µ-controller (intel i3-2500, ARM..) • 16kB RAM, 128kB ROM • Contiki OS (Windows, Linux..) • FlockLab (oscilloscope)
- 19. Evaluation Run-time Client-side Computation Server-side Computation Verification / Decryption of Session Ticket Generating new Session Ticket
- 22. Conclusion • Proposed delegation architecture • Provides comprehensive, compact solution for authentication, authorization, secure transmission