Communications of the ACM
Latest Practice
From Communications of the ACM
DAML: The Contract Language of Distributed Ledgers
A discussion between Shaul Kfir and Camille Fournier.
From Communications of the ACM
Industry-Scale Knowledge Graphs: Lessons and Challenges
Five diverse technology companies show how it's done.
From Communications of the ACM
Extract, Shoehorn, and Load
Data doesn't always fit nicely into a new home.
From Communications of the ACM
Access Controls and Healthcare Records: Who Owns the Data?
A discussion with David Evans, Richard McDonald, and Terry Coatta.
From Communications of the ACM
Research for Practice: Troubling Trends in Machine-Learning Scholarship
Some ML papers suffer from flaws that could mislead the public and stymie future research.
From Communications of the ACM
Achieving Digital Permanence
The many challenges to maintaining stored information and ways to overcome them.
From Communications of the ACM
Online Event Processing
Achieving consistency where distributed transactions have failed.
From Communications of the ACM
Net Neutrality: Unexpected Solution to Blockchain Scaling
Cloud-delivery networks could dramatically improve blockchains' scalability, but clouds must be provably neutral first.
From Communications of the ACM
A Hitchhiker's Guide to the Blockchain Universe
Blockchain remains a mystery, despite its growing acceptance.
From Communications of the ACM
CodeFlow: Improving the Code Review Process at Microsoft
A discussion with Jacek Czerwonka, Michaela Greiler, Christian Bird, Lucas Panjer, and Terry Coatta
From Communications of the ACM
SQL Is No Excuse to Avoid DevOps
Automation and a little discipline allow better testing, shorter release cycles, and reduced business risk.
From Communications of the ACM
Corp to Cloud: Google's Virtual Desktops
How Google moved its virtual desktops to the cloud.
From Communications of the ACM
Research for Practice: Knowledge Base Construction in the Machine-Learning Era
Three critical design points: Joint learning, weak supervision, and new representations.
From Communications of the ACM
The Mythos of Model Interpretability
In machine learning, the concept of interpretability is both important and slippery.
From Communications of the ACM
Mind Your State for Your State of Mind
The interactions between storage and applications can be complex and subtle.
From Communications of the ACM
Workload Frequency Scaling Law: Derivation and Verification
Workload scalability has a cascade relation via the scale factor.
From Communications of the ACM
Algorithms Behind Modern Storage Systems
Different uses for read-optimized B-trees and write-optimized LSM-trees.
From Communications of the ACM
Research for Practice: Prediction-Serving Systems
What happens when we wish to actually deploy a machine learning model to production?
From Communications of the ACM