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Back-to-Basics Weekend Reading - Staged Event-Driven Architecture

All Things Distributed

Back-to-Basics Weekend Reading - Staged Event-Driven Architecture. Staged Event-Driven Architecture. SEDA: An Architecture for Well-Conditioned, Scalable Internet Services , Matt Welsh, David Culler, and Eric Brewer. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Comments ().

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The Back-to-Basics Readings of 2012 - All Things Distributed

All Things Distributed

Aug 17 - SEDA: An Architecture for Well-Conditioned, Scalable Internet Services , Matt Welsh, David Culler, and Eric Brewer. In Proceedings of the Eighteenth Symposium on Operating Systems Principles (SOSP-18), Banff, Canada, October, 2001. Aug 11 - " On the Naming and Binding of Network Destinations ", Saltzer, J.

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MICRO 2019 Trip Report

ACM Sigarch

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

I made major contributions to two Sun Blueprints books on Resource Management (1999) with Richard McDougall, Evert Hoogendoorn, Enrique Vargas, and Jim Bialaski, and Capacity Planning for Internet Services (2001) with Bill Walker. I’d helped eBay recover from capacity related outages in 1999 and had setup their capacity planning processes.

Tuning 52
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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey. come join us.

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Data Mining Problems in Retail

Highly Scalable

RE94] Grouplens: an open architecture for collaborative filtering of netnews, P. Konstan, and John Riedl, 2001. [PZ07] Content-based Recommendation Systems, M. Pazzani, D. Billsus, 2007. RE03] A SAS Market Basket Analysis Macro: The “Poor Man’s Recommendation Engine”, M. Prairie, 2003. Resnick, N. Iacovou, M. Bergstrom, and J.

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