Mumak
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Mumak is a discrete event simulation tool that can simulate a large-scale distributed system like Hadoop faster than running actual benchmarks on a cluster. It reproduces the behavior and performance of the real JobTracker and scheduler by plugging them in and simulating different conditions. While still a work in progress, Mumak has been used to find bugs, profile memory usage, and verify that patches address issues without side effects. Future work includes simulating more conditions and using Mumak to generate unit tests.
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Hadoop at Yahoo! -- Hadoop World NY 2009
Yahoo! is the largest contributor, tester, and user of Hadoop. They have over 4,000 node Hadoop clusters and use Hadoop to run many of their services and applications. Yahoo! contributes all of their Hadoop development work back to the Apache Foundation as open source software. They are also the largest employer of Hadoop contributors.
Hadoop at Yahoo! -- University Talks
Yahoo is the largest corporate contributor, tester, and user of Hadoop. They have 4000+ node clusters and contribute all their Hadoop development work back to Apache as open source. They use Hadoop for large-scale data processing and analytics across petabytes of data to power services like search and ads optimization. Some challenges of using Hadoop at Yahoo's scale include unpredictable user behavior, distributed systems issues, and the difficulties of collaboration in open source projects.
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The document discusses business intelligence for big data using Hadoop. It describes how 90% of companies are using or plan to use Hadoop to transform structured or semi-structured data for analysis and reporting. While Hadoop provides scalability through distributed processing and storage, its MapReduce programming model makes data transformation difficult for developers accustomed to graphical tools. The document traces how Google and Yahoo developed MapReduce for specific use cases of indexing the internet at massive scales, and how it has since been generalized beyond those specific needs.
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The document summarizes the key changes between the old MapReduce API and the new MapReduce API in Hadoop. Some of the main changes include:
- Renaming all "mapred" packages to "mapreduce"
- Methods can now throw InterruptedException in addition to IOException
- Using Configuration instead of JobConf
- Changes to Mapper, Reducer, and RecordReader interfaces and classes
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- InputFormats and OutputFormats see changes like new methods and removed classes
HUG Nov 2010: HDFS Raid - Facebook
HDFS RAID is a contrib project in Hadoop that implements RAID techniques to reduce replication of data in HDFS and tolerate block failures. At Facebook, HDFS RAID is saving about 5PB of storage space by using XOR parity with gradual deployment across tables. The key components are the RaidNode daemon that generates parity files, the BlockFixer that reconstructs missing or corrupt blocks, and the DistributedRaidFileSystem that allows reads from corrupt files by reconstructing missing blocks on the fly.
Cloudera Desktop
The document summarizes a presentation about the public beta release of Cloudera Desktop, a web-based platform for accessing and managing Hadoop clusters. Cloudera Desktop aims to improve the user experience of interacting with Hadoop by providing a desktop metaphor and allowing users to browse files, design and run jobs, and check cluster health directly from a web browser. The presentation demonstrates features of Cloudera Desktop and discusses the motivations for its web-based, desktop-inspired interface and extensible platform design. It encourages attendees to try the free public beta and provide feedback.
3 avro hug-2010-07-21
Avro is a data serialization system that provides data interchange and interoperability between systems. It allows for efficient encoding of data and schema evolution. Avro defines data using JSON schemas and provides dynamic typing which allows data to be read without code generation. It includes a file format and supports MapReduce workflows. Avro aims to become the standard data format for Hadoop applications by providing rich data types, interoperability between languages, and compatibility between versions.
Public Terabyte Dataset Project: Web crawling with Amazon Elastic MapReduce
The document discusses the Public Terabyte Dataset Project which aims to create a large crawl of top US domains for public use on Amazon's cloud. It describes how the project uses various Amazon Web Services like Elastic MapReduce and SimpleDB along with technologies like Hadoop, Cascading, and Tika for web crawling and data processing. Common issues encountered include configuration problems, slow performance from fetching all web pages or using Tika language detection, and generating log files instead of results.
Yahoo! Hadoop User Group - May Meetup - Extraordinarily rapid and robust data...
Cascalog is a query language for Hadoop written in Clojure. It provides an alternative to Pig and Hive that leverages Clojure's features like being a functional language, Lisp-based syntax, and first-class integration with Java. Cascalog allows for full use of Clojure during queries with features like custom operations, dynamic queries, and side-by-side use with other Clojure code. BackType uses Cascalog for tasks like identifying influencers and engagement on Twitter.
January 2011 HUG: Pig Presentation
1) Pig 0.8 focuses on usability, integration, performance, and backwards compatibility with 0.7.
2) It allows UDFs to be written in scripting languages like Jython and provides better statistics and integration with Hadoop job history.
3) Other new features include invoking static Java functions as UDFs, improved HBase integration, and casting relations to scalars.
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Наступна конференція - http://www.elixirkyiv.club/
A boss of mine once told me "Just see, my poorly written Vert.x app outperforms my poorly written Elixir app". Now it is time to take up the gauntlet.
Cлідкуйте за нами у соцмережах @ElixirClubUA та #ElixirClubUA
Анонси та матеріали конференцій - https://www.fb.me/ElixirClubUA
Новини - https://twitter.com/ElixirClubUA
Фото та невимушена атмосфера - https://www.instagram.com/ElixirClubUA
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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.
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Mumak
- 1. Mumak Using Simulation for Large-scale Distributed System Verification and Debugging Hong Tang 2009.10 - Hadoop User Group
- 7. Architecture Client Protocol InterTracker Protocol Job Tracker Simulated Job Tracker Sched Task Tracker Task Tracker Task Tracker Simulated Job Client Job Client Job Client Job Client Simulation Engine Rumen Cluster Story Job Story Trace Job Story Cache Simulated Task Tracker Simulated Task Tracker Simulated Task Tracker JobSubmissionEvent HeartBeatEvent TaskAttempt CompletionEvent JobCompletionEvent Job Finalization Event Queue
- 10. Mumak as a System Behavior Verifier
- 15. QUESTIONS?