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https://issues.apache.org/jira/browse/COMDEV-476?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bertty Contreras updated COMDEV-476:
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Labels: gsoc gsoc2022 machine_learning mentor part-time (was: gsoc
gsoc2022 machine_learning mentor)
> Apache Wayang(Incubating): New Channel communication using Apache Kafka
> -----------------------------------------------------------------------
>
> Key: COMDEV-476
> URL: https://issues.apache.org/jira/browse/COMDEV-476
> Project: Community Development
> Issue Type: New Feature
> Components: GSoC/Mentoring ideas
> Reporter: Bertty Contreras
> Priority: Critical
> Labels: gsoc, gsoc2022, machine_learning, mentor, part-time
> Original Estimate: 175h
> Remaining Estimate: 175h
>
> *Synopsis*
> The current Apache Wayang (Incubating) approach to communicate to different
> platforms uses a Channel abstraction. The idea behind a channel is to
> generate a source and sink operator in the platform that enables the
> communication between two platforms. Yet, the currency approach does not
> handle any possible bottleneck that could be created at the target platform
> (sink operator). For example, when moving data from Apache Spark to
> PostgreSQL we could expect a bottleneck at the PostgreSQL if the incoming is
> big: distributed platform vs a single-node platform. This of course will
> generate problems at the PostgreSQL side or would even cause data losses. We
> thus aim at poewring communication channels with Apache Kafka support, where
> a queue can make the data movement between platforms more smoothly.
>
> *Benefits to Community*
> The community benefit will be the utilization of Apache Kafka as a channel of
> communication. This will be helping in adding speed to the processing of the
> queries and provide a better setup and more alternatives for the optimizer.
>
> *Deliverables*
> The delivery expected is to add a robust solution for the inclusion of the
> Apache Kafka as a Channel of communication.
> The step expected are the following:
> * Understand the paper [1]
> * Get into the internals of the communication channels of Apache Wayang
> (Incubating)
> * Discuss and design the solution for the loop optimizations
> * Implement and integrate the new Channel communications inside Apache
> Wayang (Incubating).
>
> *Related Work*
> [1] [RHEEMix in the data jungle: a cost-based optimizer for cross-platform
> systems]([https://wayang.apache.org/assets/pdf/paper/journal_vldb.pdf])
>
> *Biographical Information of the possible mentors*
>
> Bertty Contreras-Rojas is a Senior Software Engineer at Databloom Inc. He is
> one of the PPMC of Apache Wayang(Incubating). He has many years of experience
> developing intensive processing data systems for several industries, such as
> banking systems. He was a research engineer at the Qatar Computing Research
> Institute, where he was responsible for developing the declarative query
> engine for Rheem and adding new underlying platforms to Rheem.
>
> Rodrigo Pardo-Meza is a Senior Software Engineer at Databloom Inc. He is one
> of the PPMC of Apache Wayang(Incubating). He has many years of experience
> developing applications that support Big Data processing, with experience
> implementing ETL processes over distributed systems to optimize inventories
> in supply chains. He was a research engineer at the Qatar Computing Research
> Institute, where he specialized in human interface interaction with big data
> analytics. During this time, he co-develop an ML-based cross-platform query
> optimizer.
>
> Jorge Quiané is the head of the Big Data Systems research group at the Berlin
> Institute for the Foundations of Learning and Data (BIFOLD) and a Principal
> Researcher at DIMA (TU Berlin). He also acts as the Scientific Coordinator of
> the IAM group at the German Research Center for ArtificialIntelligence
> (DFKI). His current research is in the broad area of big data: mainly in
> federated data analytics, scalable data infrastructures, and distributed
> query processing. He has published numerous research papers on data
> management and novel system architectures. He has recently been honoured with
> the 2022 ACM SIGMOD Research Highlight Award and the Best Paper Award at ICDE
> 2021 for his work on “EfficientControl Flow in Dataflow Systems”. He holds
> five patents in core database areas and on machine learning. Earlier in his
> career, he was a Senior Scientist at the Qatar Computing Research Institute
> (QCRI) and a Postdoctoral Researcher at Saarland University. He obtained his
> PhD in computer science from INRIA (Nantes University).
>
> *Name and Contact Information*
> Name: Bertty Contreras-Rojas
> email: bertty (at) apache.org
> community: dev (at) wayang.apache.org
> website: [https://wayang.apache.org|https://wayang.apache.org/]
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