@ARTICLE{atom_tpds, 
author={M. Du and F. Li}, 
journal={IEEE Transactions on Parallel and Distributed Systems}, 
title={ATOM: Efficient Tracking, Monitoring, and Orchestration of Cloud Resources}, 
year={2017}, 
volume={28}, 
number={8}, 
pages={2172-2189}, 
keywords={cloud computing;digital forensics;pattern clustering;principal component analysis;public domain software;resource allocation;virtual machines;ATOM;Infrastructure as a Service framework;PCA based approach;cloud resource usage monitoring;cloud resource usage orchestration;cloud resource usage tracking;introspection tools;memory forensics;open source IaaS system;principal component analysis;resource allocation;security;system usage metrics;virtual machine clustering;Atomic measurements;Cloud computing;Monitoring;Principal component analysis;Resource management;Security;Infrastructure as a service;anomaly detection;cloud;monitoring;tracking;virtual machine introspection}, 
doi={10.1109/TPDS.2017.2652467}, 
ISSN={1045-9219}, 
month={Aug},}