What ails the Sarai Reader List? (August 2005)
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An examination of how form affects community formation, contrasting LiveJournal with the Mailman-powered Sarai Reader List (August 2005).
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
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This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
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.
What is an RPA CoE? Session 1 – CoE Vision
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
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Chris Bolin, Senior Intelligent Automation Architect Anika Systems
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
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!
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What ails the Sarai Reader List? (August 2005)
- 1. What Ails the Sarai Reader List? Learning from LiveJournal’s success Kiran Jonnalagadda <jace@seacrow.com> August 24, 2005, at Sarai-CSDS, Delhi
- 2. Formerly: Studying How Form Affects Online Community (With insights from coffee shop culture)
- 3. Contrast in Participation My participation in the Reader List and LiveJournal,* Dec 2004 to August 2005: Total posters on Reader List: 520 Total posts to Reader List: 1546 Commentators on LiveJournal: 333 Comments received on Reader List: 0 Comments received on LJ: 3076 (0-77) * LiveJournal’s nature makes it hard to do a one-on-one comparison; this is an approximation 3
- 4. Typical Complaints Too many posts; hard to keep up Too many posters; hard to get familiar Hard to follow individual threads Flood of posts every 25th So how does LiveJournal sustain so much traffic so effortlessly? 1546 overall versus 3076 comments addressed to a single person! 4
- 5. The Sarai Reader List is crumbling. The list needs to figure out how to effectively channelise traffic so readers are not burdened. Imagine reading a newspaper that prints all the news in the world in a single narrow, long sheet.
- 6. Problem 1: Linearity and Unread Flags are for Memos, not Communities
- 7. Threaded Discussions Standard feature of mailing lists But LiveJournal makes participating easier LiveJournal’s user experience frequently emphasises restricted views of a greater community. 7
- 8. The Friends Network: Seamless Subgroups
- 10. Identity on LiveJournal Globally unique id User profile with contact and participation details Reference via <lj user=“”> User pictures linked to keywords (emotions) Choice of picture when participating anywhere 10
- 11. Problem 3: Intimacy and Possession The mailing list is not personal space LiveJournal provides personal journals Are you addressing one while a thousand peer at you? Or are you addressing one while a thousand go about their own lives? LiveJournal achieves the latter 11
- 12. Problem 4: Archival Hard to find an old post; No search Threading unreliable and broken across months LiveJournal: the archive is the primary interface LiveJournal also lacking when searching for posts 12
- 13. Rescuing the Reader List Initial plan: make LiveJournal installation for the Reader List. Abandoned for technical difficulties Blue sky plan: make new system But who’ll create and maintain it? Current plan: make better interaction system on top of existing MailMan list 13