beyond the technology: privacy, trust and security in the cloud
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here are the references i used for you to investigate further: - slides - transcript and references in notes: https://goo.gl/fZchoh - raw document dump (unfiltered): https://goo.gl/qYJ6dU note: just a heads up, since description was ambiguous, this presentation does not contain any original research/survey data. it is an overview of the state of cloud, internet, and privacy from my pov after reading related material -- think something similar to the research you did for your grade school report on [political leader name here]. The adoption of cloud computing and the migration of applications to the platform is rapidly transforming how businesses and individuals perform their regular day to day functions. More than a trillion dollars will be spent in the next five years, directly or indirectly, to shifting processes to the cloud. According to Gartner, "This will make cloud computing one of the most disruptive forces of IT spending since the early days of the digital age." As the world rapidly transistions to the cloud, it's important to consider not just the technical advantages this change provides but also think about the potential non-technical risks. This talk looks at the social and political issues surrounding the current state of privacy and security in cloud computing and the trust we place in others.
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Security of Things World USA 2016 - Post Event Report
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4 principles to get full benefit of the Internet of Things
The Inside Story: How the IIC’s Connectivity Framework Guides IIoT Connectivi...
The Inside Story: How the IIC’s Connectivity Framework Guides IIoT Connectivi...
More from Gordon Chung
Storing metrics at scale with Gnocchi
Presentation given at OpenStack Days Canada 2017.
Original deck can be found at https://julien.danjou.info/talks/
Gnocchi v4 - past and present
a dive into performance enhancements in Gnocchi v4.x (as of end of August) and how it compares to previous releases of Gnocchi.
Gnocchi v4 (preview)
early benchmarks on pre-release Gnocchi v4. includes benchmark comparison between all-ceph v3.x driver versus all-ceph v4 driver. also, shows benchmark using redis+ceph deployment.
Gnocchi v3 brownbag
This document summarizes the author's experience optimizing Gnocchi, an open source time-series database, to store metrics for hundreds of thousands of resources over many months. The author describes improving performance by adding Ceph storage nodes, tuning Ceph configurations, minimizing I/O operations, and improving the storage format. Benchmark results show the new version achieves 50% higher write throughput, 40-60% faster computation times, 30-60% better overall performance, and 30-40% fewer operations. Usage hints are also provided to help optimize for different use cases.
Gnocchi v3
The document summarizes optimisation opportunities and testing results for Gnocchi v3 compared to v2. It discusses improvements to coordination and scheduling to minimize contention, performance improvements for large datasets, a new storage format to reduce operations and disk size, and benchmark results showing processing time reductions of up to 23% and write throughput increases.
Gnocchi Profiling v2
additional benchmarks on Gnocchi+Ceph. this shows how to stabilise performance and how performance changes as Ceph is scaled out.
The Gnocchi Experiment
The Gnocchi Experiment document summarizes the evolution of Ceilometer and the development of Gnocchi as a new time series storage service. Key points include:
Ceilometer started in 2012 to collect OpenStack metrics but became too complex trying to do everything. It was split into separate projects - Ceilometer for data gathering, Gnocchi for time series storage, Aodh for alarming, and Panko for events.
Gnocchi stores pre-aggregated metrics in time series with configurable archive policies to reduce data volume. It provides low-cost storage and fast retrieval of metrics compared to Ceilometer's legacy storage. The separation of services allows each to focus on their specific functionality.
Gnocchi Profiling 2.1.x
initial profile of Gnocchi 2.1.x, this shows performance using a basic configuration of Gnocchi with standard configuration of Ceph 10.2.1.
Ceilometer to Gnocchi
Gnocchi stores aggregated metrics data in a time series format, compressing it to reduce storage needs compared to Ceilometer. It requires defining archive policies to specify the resolution at which metrics are captured and aggregated. While Ceilometer shows individual datapoints, Gnocchi shows pre-aggregated statistics and metadata for resources.
Anatomy of an action
A key feature when monitoring and debugging any Cloud infrastructure is to provide the ability to trace, track, and collate all the individual, discrete steps that compose an event. A typical resource action in OpenStack is often a combination of smaller tasks -- which given the distributed nature of OpenStack -- can fail at unpredictable points in the workflow. By collecting the appropriate events, operators can view all events within Ceilometer, filter on a failed action and trace back the history of related events to spot anomalies or errors. In this talk, we provide an overview of the recent enhancements made in Ceilometer to support the collection of event notifications from OpenStack services. We will describe: how events are processed, transformed and stored in Ceilometer; how you can derive metrics from events; and how it’s possible to track the events of a resource and analyse where errors occur.
Stabilising the jenga tower
The document discusses the evolution of Ceilometer, an OpenStack project that collects measurements from deployed clouds and persists the data for later retrieval and analysis. It describes how Ceilometer has scaled out its data collection capabilities over time by adding agents, partitioning workloads, and integrating with Gnocchi to provide more efficient time-series storage. The document also provides best practices for Ceilometer deployment and configuration to optimize data collection, storage and querying.
More from Gordon Chung (11)
Recently uploaded
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.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Finale of the Year: Apply for Next One!
Presentation for the event called "Finale of the Year: Apply for Next One!" organized by GDSC PJATK
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
This case study explores designing a scalable e-commerce platform, covering key requirements, system components, and best practices.
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
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.
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
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.
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.
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
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!
Recently uploaded (20)
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Deep Dive: Getting Funded with Jason Jason Lemkin Founder & CEO @ SaaStr
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
A Comprehensive Guide to DeFi Development Services in 2024
A Comprehensive Guide to DeFi Development Services in 2024
WeTestAthens: Postman's AI & Automation Techniques
WeTestAthens: Postman's AI & Automation Techniques
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Trusted Execution Environment for Decentralized Process Mining
Trusted Execution Environment for Decentralized Process Mining
Choosing The Best AWS Service For Your Website + API.pptx
Choosing The Best AWS Service For Your Website + API.pptx
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
beyond the technology: privacy, trust and security in the cloud
- 1. beyond the technology privacy, trust and security in the cloud
- 2. disclaimers
- 3. about me
- 4. age of the cloud FORBES BLOOMBERG BAIN AND COMPANY
- 5. the other side of the coin
- 8. concerns
- 9. concerns - data security BAIN AND COMPANY
- 12. concerns - trust INTEL SECURITY INTEL SECURITY WHICH TYPE OF CLOUD ARCHITECTURE IS YOUR ORGANIZATION CURRENTLY USING? TO WHAT EXTENT DO YOU TRUST THE FOLLOWING TO KEEP YOUR ORGANISATIONS’ SENSITIVE DATA SECURE?
- 13. concerns DENTONS 1. Jurisdictional complexity that mires accountability and remedy; 2. Loss of data sovereignty for public bodies through foreign cloud providers - including data mining and access by foreign law enforcement authorities; 3. Compromise of meaningful consent through lack of transparency; 4. Challenge to safeguards from transfer of information across the Internet
- 14. data security
- 17. corporations
- 18. corporations v. the people ARSTECHNICA | WIRED | ZDNET PBS FRONTLINE ARSTECHNICA | ARSTECHNICA | ENGADGET
- 19. GOOGLE WIRED | ARSTECHNICA WIRED | ENGADGET | ARSTECHNICA corporations v. state
- 20. WIRED REUTERS corporations & the people MIT TECHNOLOGY REVIEW
- 21. governments
- 23. state v. corporations NEW YORK TIMES | REUTERS ARSTECHNICA | ZDNET | TECHCRUNCH
- 24. TORONTO STAR ENGADGET | WIRED | ARSTECHNICA state v. the people SANTA CLARA LAW REVIEW | COMPUTER WEEKLY
- 26. state & the people ARSTECHNICA OFFICE OF THE PRIVACY COMMISSIONER OF CANADA EUROPEAN COMMISSION
- 27. solutions
- 28. policy THE ECONOMIST ARSTECHNICA THE GLOBE AND MAIL
- 31. activism WIRED
- 34. WIRED tin foil hat CVDAZZLE
- 35. does it matter?
- 36. FORBES FORBES we are the problem ZDNET
- 37. we are the problem WIRED PEW RESEARCH CENTRE
- 39. WIRED ZDNET ARSTECHNICA why it matters to corporations
- 40. Why it matters to individuals VANISH FILMS | ENGADGET ARSTECHNICA THE CHRONICLE REVIEW
- 41. Why it matters to us all REUTERS CNN
- 42. ZDNET ARSTECHNICA Why it matters to us all
- 43. We have to do what we’re told. Some fights you just can’t win. The powerful control the lives of the powerless. That’s the way the world works. It’s unjust and it’s unfair but that’s just too bad. We have to shut up and accept it.
- 44. Viggo Mortensen in Captain Fantastic well, f#@k that.
- 45. • Data dump of sources researched • Contains very rough notes • https://goo.gl/qYJ6dU references