Building a distributed cache system with redis, clojure and math

Jul 2015

13 Mon

14 Tue

15 Wed

16 Thu 08:30 AM – 06:35 PM IST

17 Fri 08:30 AM – 06:30 PM IST

18 Sat 09:00 AM – 06:30 PM IST

19 Sun

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NIMHANS Convention center

Machine Learning, Distributed and Parallel Computing, and High-performance Computing are the themes for this year’s edition of Fifth Elephant.

The deadline for submitting a proposal is 15th June 2015

We are looking for talks and workshops from academics and practitioners who are in the business of making sense of data, big and small.

Track 1: Discovering Insights and Driving Decisions

This track is about general, novel, fundamental, and advanced techniques for making sense of data and driving decisions from data. This could encompass applications of the following ML paradigms:

Statistical Visualizations
Unsupervised Learning
Supervised Learning
Semi-Supervised Learning
Active Learning
Reinforcement Learning
Monte-carlo techniques and probabilistic programming
Deep Learning

Across various data modalities including multi-variate, text, speech, time series, images, video, transactions, etc.

Track 2: Speed at Scale

This track is about tools and processes for collecting, indexing, and processing vast amounts of data. The theme includes:

Distributed and Parallel Computing
Real Time Analytics and Stream Processing
MapReduce and Graph Computing frameworks
Kafka, Spark, Hadoop, MPI
Stories of parallelizing sequential programs
Cost/Security/Disaster Management of Data

HasGeek believes in open source as the binding force of our community. If you are describing a codebase for developers to work with, we’d like it to be available under a permissive open source license. If your software is commercially licensed or available under a combination of commercial and restrictive open source licenses (such as the various forms of the GPL), please consider picking up a sponsorship. We recognize that there are valid reasons for commercial licensing, but ask that you support us in return for giving you an audience. Your session will be marked on the schedule as a sponsored session.

Workshops

If you are interested in conducting a hands-on session on any of the topics falling under the themes of the two tracks described above, please submit a proposal under the workshops section. We also need you to tell us about your past experience in teaching and/or conducting workshops.

Hosted by

The Fifth Elephant

The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more

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Building a distributed cache system with redis, clojure and math

Submitted Jun 15, 2015

Section: Full Talk Technical level: Intermediate

Learn how consistent hashing, CRDTs and Clojure protocols can be used to build a distributed cache.

Outline

This talk will highlight different things that went into building bunshin (a Distributed Cache system) built on top of Redis.

Key concepts

Consistent hashing: This let’s the system distribute load across multiple nodes. Also it reduces remapping load when number of nodes change in cluster.
CRDTs: Conflict-free replicated data types help you accept divergence in Distributed systems. CRDTs are designed such that conflicts are mathematically impossible
Clojure protocols: Protocols provide powerful mechanism for abstraction. This gives flexibility of changing implementations for future improvements like using a different datastore.
Generative Testing: Finding and documenting edge cases in Distributed systems is hard. Also benchmarking things can be tedious. With generative testing and protocols we will see how can solve these problems.

Speaker bio

Kapil Reddy is a Platform and Feature Lead at Helpshift, and is a core developer on many of the scalability projects at Helpshift. He has designed and open sourced Bunshin, which is used to implement a large distributed caching layer capable of serving over 35K requests per second. He believes that skynet is already sentient.