Hotspot Detection in Service-Oriented Architectures

Nov 1, 2014·
Pranay Anchuri
Pranay Anchuri
· 0 min read
Abstract
We develop a novel algorithm for detecting hotspots in service-oriented architectures. By mining metrics associated with service calls, the method recommends services that are the best candidates for optimization, enabling targeted performance improvements in large-scale distributed systems.
Type
Publication
In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management
publications
Service-Oriented Architecture Anomaly Detection Data Mining
Pranay Anchuri
Authors
Pranay Anchuri
Senior Research Scientist
Pranay Anchuri is a Senior Research Scientist at Offchain Labs. His research spans blockchain protocols, verifiable computation, and machine learning applied to decentralized systems. He has published at top venues including KDD, JMLR, and ICDM, and is an inventor on seven US patents. He holds a PhD in Computer Science from Rensselaer Polytechnic Institute.