This document introduces the Blazes framework for analyzing and enforcing consistency in distributed systems. It begins with an overview of the dataflow model of distributed computation using components that interact asynchronously via streams. It then discusses types of anomalies that can occur due to asynchrony and partial failure, such as cross-run nondeterminism and divergence. The document proposes using component properties like convergence and confluence to prevent anomalies, as well as constraining message delivery orders. It presents the Blazes approach of labeling components with these properties to analyze compositional consistency and selecting appropriate coordination like ordering and sealing. Modes of the Blazes framework are described, including analyzing systems as "grey boxes" and modeling their semantics as "white boxes."
Introduction to C Language(Video Link https://youtu.be/bEyJsEJ7YnY)
Part I
1 History of C Language
2 ALGOL, BCPL, B, C, K&R C, ANSI C, C90
3 C Program Structure
4 How to Download and Install Turbo C
5 How to Create and run first program in Turbo C
6 Practical Assignment
Part II
Introduction to C Language
1. Language Fundamentals
2. Character Set (With ASCII Values)- Source Character Set, Execution Character Set .
3. Tokens in C- Keywords, Identifiers, Variables, Constants, Strings, Special Symbols, Operators.
4. DataTypes In C -
Primary- int, float, char, void
User define- Enum, Struct, Typedef
Derived - Array, Pointer
5. Types of Operators- Arithmetic, Relational, Logical, Bit wise, Assignment, Miscellaneous
Notation, Regular Expressions in Lexical Specification, Error Handling, Finite Automata State Graphs, Epsilon Moves, Deterministic and Non-Deterministic Automata, Table Implementation of a DFA
Introduction to C Language(Video Link https://youtu.be/bEyJsEJ7YnY)
Part I
1 History of C Language
2 ALGOL, BCPL, B, C, K&R C, ANSI C, C90
3 C Program Structure
4 How to Download and Install Turbo C
5 How to Create and run first program in Turbo C
6 Practical Assignment
Part II
Introduction to C Language
1. Language Fundamentals
2. Character Set (With ASCII Values)- Source Character Set, Execution Character Set .
3. Tokens in C- Keywords, Identifiers, Variables, Constants, Strings, Special Symbols, Operators.
4. DataTypes In C -
Primary- int, float, char, void
User define- Enum, Struct, Typedef
Derived - Array, Pointer
5. Types of Operators- Arithmetic, Relational, Logical, Bit wise, Assignment, Miscellaneous
Notation, Regular Expressions in Lexical Specification, Error Handling, Finite Automata State Graphs, Epsilon Moves, Deterministic and Non-Deterministic Automata, Table Implementation of a DFA
Unsupervised Machine Learning for clone detectionValerio Maggio
"Unsupervised Machine Learning for clone detection" highlights the main topics of using Unsupervised Machine Learning techniques (Kernel methods and data clustering) for the code clones detection task.
This Document about is C Programming language. You will learn Operators in C.
Types of operators-
Arithmetic Operators
Relational Operators
Increment Operator
Decrement Operator
Logical Operators
Conditional Operator
A presentation I gave in Expert Days 2012. In this presentations I explain how most of the features in the C# language work, including Iterators, Lambdas, Linq, Dynamics, and more.
Unsupervised Machine Learning for clone detectionValerio Maggio
"Unsupervised Machine Learning for clone detection" highlights the main topics of using Unsupervised Machine Learning techniques (Kernel methods and data clustering) for the code clones detection task.
This Document about is C Programming language. You will learn Operators in C.
Types of operators-
Arithmetic Operators
Relational Operators
Increment Operator
Decrement Operator
Logical Operators
Conditional Operator
A presentation I gave in Expert Days 2012. In this presentations I explain how most of the features in the C# language work, including Iterators, Lambdas, Linq, Dynamics, and more.
Riak Search is a distributed data indexing and search platform built on top of Riak. The talk will introduce Riak Search, covering overall goals, architecture, and core functionality, with specific focus on how Erlang is used to manage and execute an ever-changing population of ad hoc query processes.
ElasticSearch - index server used as a document databaseRobert Lujo
Presentation held on 5.10.2014 on http://2014.webcampzg.org/talks/.
Although ElasticSearch (ES) primary purpose is to be used as index/search server, in its featureset ES overlaps with common NoSql database; better to say, document database.
Why this could be interesting and how this could be used effectively?
Talk overview:
- ES - history, background, philosophy, featureset overview, focus on indexing/search features
- short presentation on how to get started - installation, indexing and search/retrieving
- Database should provide following functions: store, search, retrieve -> differences between relational, document and search databases
- it is not unusual to use ES additionally as an document database (store and retrieve)
- an use-case will be presented where ES can be used as a single database in the system (benefits and drawbacks)
- what if a relational database is introduced in previosly demonstrated system (benefits and drawbacks)
ES is a nice and in reality ready-to-use example that can change perspective of development of some type of software systems.
Complex Legacy System Archiving/Data Retention with MongoDB and XqueryDATAVERSITY
Many organizations today, due to regulatory compliance or other needs, are finding it necessary to archive large volumes of data into long-term storage. Learn how MongoDB provides a flexible, efficient, scalable, long-term document storage that can adapt to your organization's changing needs over time. A case study from US federal government agency with 130 legacy applications that needed to be archived and integrated into a federated view of archive and real-time operational data. Regulations in many industries (eg HIPAA, SOX, Basel 3, FATCA etc) are driving the need for data retention and the need for query processing across archives and operational data.
Your smartphone needs a spring cleaning, too. There's a lot of important stuff on your phone, but there are probably a few things you can get rid of as well. Between apps you haven't opened since you downloaded them to photos that are better off in the cloud, here's a roundup of our favorite ways to clear the digital clutter.
Scalable XQuery Processing with Zorba on top of MongoDBWilliam Candillon
Since a couple of years, the NoSQL movement has developed a variety of open-source document stores. Most of them focus on high availability, horizontal scalability, and are designed to run on commodity hardware. These products have gained great traction in the industry to store large amounts of flexible data (mostly JSON). In the meantime, XQuery has evolved to a standardized, full-fledged programming language for XML with native support for complex queries, indexes, updates, full-text search, and scripting. Moreover, JSON has recently been added as a first-level datatype into the language. As of today, it is without doubt the most robust and productive technology to process flexible data.
The aim of this talk is to showcase the benefits that can be achieved by integrating the Zorba XQuery Processor with MongoDB. We will introduce the 28msec platform that seamlessly stores, indexes, and manages flexible data entirely in XQuery. The data itself is stored in MongoDB. The platform leverages MongoDB’s indexes, sharding, and consistency guarantees to scale-out horizontally. The talk will conclude by showing a benchmark of the platform and discuss perspectives of the outlined approach.
Presented by Wes Caldwell, Chief Architect, ISS, Inc.
The customers in the Intelligence Community and Department of Defense that ISS services have a big data challenge. The sheer volume of data being produced and ultimately consumed by large enterprise systems has grown exponentially in a short amount of time. Providing analysts the ability to interpret meaning, and act on time-critical information is a top priority for ISS. In this session, we will explore our journey into building a search and discovery system for our customers that combines Solr, OpenNLP, and other open source technologies to enable analysts to "Shrink the Haystack" into actionable information.
Scaling Gilt: from Monolithic Ruby Application to Distributed Scala Micro-Ser...C4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/10fVilQ.
Yoni Goldberg describes some of the technological innovations that have helped Gilt to reach its current size, and highlight some of the core challenges that the company's engineering team continues to face. He also discusses what every tech team needs to consider and address before heading down the path of building a first-class micro-services architecture. Filmed at qconnewyork.com.
Since joining Gilt at 2010 as a platform engineer, Yoni Goldberg has been leading a variety of personalization efforts and other customer-facing initiatives--including the Gilt Insider loyalty program, the post-purchase experience, and SEO/optimization efforts. Prior to joining Gilt, Yoni worked at Google, where he wrote his master's thesis on Fusion Tables.
Pregel: A System for Large-Scale Graph ProcessingChris Bunch
These are the slides for a presentation I recently gave at a seminar on Tools for High-Performance Computing with Big Graphs. It covers Google's Pregel system, in use for processing graph algorithms in a scalable manner.
With the raise of NoSQL databases consistency models that are less strict than ACID transactions became popular again. After the first enthusiasm the developer community became aware that those relaxed consistency models hold some new challenges they never knew about in the ACID world. Fortunately there are some concepts around how to deal with those challenges. This presentation gives a rough introduction into the different consistency models that are available and their characteristics. Then it focusses on two techniques to deal with relaxed consistency. The first one are quorum-based reads and writes which provides a client-side strong consistency model (even if the database only implements eventual consistency). Then CRDTs (Conflict-free Replicated Data Types) are presented. CRDTs are self-stabilizing data structures which are designed for environments with extremely high availability requirements - and thus extremely weak consistency guarantees. Even though as always the majority of the information is on the voice track, I designed the slides in a way that they also provide some useful information without the voice.
HCI 3e - Ch 16: Dialogue notations and designAlan Dix
Chapter 16: Dialogue notations and design
from
Dix, Finlay, Abowd and Beale (2004).
Human-Computer Interaction, third edition.
Prentice Hall. ISBN 0-13-239864-8.
http://www.hcibook.com/e3/
Big Data & NoSQL - EFS'11 (Pavlo Baron)Pavlo Baron
That's the slides of my half day workshop at the EFS'11 in Stuttgart where I covered some theoretical aspects of NoSQL data stores relevant for dealing with large data amounts
Introduction to Cassandra: Replication and ConsistencyBenjamin Black
A short introduction to replication and consistency in the Cassandra distributed database. Delivered April 28th, 2010 at the Seattle Scalability Meetup.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
6. Asynchrony * partial failure
is hard2
Replication
Replay
Today:
Consistency criteria for fault-
tolerant distributed systems
Blazes: analysis and enforcement
7. This talk is all setup
Frame of mind:
1. Dataflow: a model of distributed computation
2. Anomalies: what can go wrong?
3. Remediation strategies
1. Component properties
2. Delivery mechanisms
Framework:
Blazes – coordination analysis and synthesis
8. Little boxes: the dataflow model
Generalization of distributed services
Components interact via asynchronous calls
(streams)
43. Component properties
• Convergence
– Component replicas receiving the same
messages reach the same state
– Rules out divergence
• Confluence
– Output streams have deterministic contents
– Rules out all stream anomalies
Confluent è convergent
54. Ordering – global coordination
Data
source
client
The first principle of successful scalability
is to batter the consistency mechanisms down to a minimum.
– James Hamilton
55. Preventing the anomalies
1. Understand component semantics
(And disallow certain compositions)
2. Constrain message delivery orders
1. Ordering
2. Barriers and sealing
56. Barriers – local coordination
Determinis:c
outputs
Data source
client
Order-sensitive
58. Sealing – continuous barriers
Do partitions of (infinite) input streams “end”?
Can components produce deterministic
results given “complete” input partitions?
Sealing: partition barriers for infinite streams
59. Sealing – continuous barriers
Finite partitions of infinite inputs are common
…in distributed systems
– Sessions
– Transactions
– Epochs / views
…and applications
– Auctions
– Chats
– Shopping carts
62. Grey boxes
Example: pub/sub
x = publish
y = subscribe
z = deliver
x
y
z
Determinis:c
but
unordered
Severity Label Confluent Stateless
1 CR X X
2 CW X
3 ORgate X
4 OWgate
x->z : CW
y->z : CWT
63. Grey boxes
Example: key/value store
x = put; y = get;
z = response
x
y
z
Determinis:c
but
unordered
Severity Label Confluent Stateless
1 CR X X
2 CW X
3 ORgate X
4 OWgate
x->z : OWkey
y->z : ORT
80. The Blazes frame of mind:
• Asynchronous dataflow model
• Focus on consistency of data in motion
– Component semantics
– Delivery mechanisms and costs
• Automatic, minimal coordination