ATG creates and submits publications to various global technical conferences. Please see below for a current list of papers with authors from NetApp, including those from ATG.

Publication Year :

SWEEPER: An Efficient Disaster Recovery Point Identification Mechanism

usenix08_button.jpgAkshat Verma, Kaladhar Voruganti, Ramani Routray, and Rohit Jain.

This paper presents a technique on how to automatically identify recovery points when trying to figure out which backup copy to use based on system events and user-specified RTO/RPO requirements.

AWOL: An AdaptiveWrite Optimizations Layer

usenix08_button.jpgAlexandros Batsakis, Randal Burns, Arkady Kanevsky, James Lentini, and Thomas Talpey.

This paper presents I/O performance improvements from adaptively allocating memory between write buffering and read caching and opportunistically writing dirty pages.

An Analysis of Data Corruption in the Storage Stack

usenix08_button.jpgL.N. Bairavasundaram, G.R. Goodson, B. Schroeder, A.C. Arpaci-Dusseau, and R.H. Arpaci-Dusseau.

This paper analyzes real-world data on the prevalence of data corruption due to storage stack components such as disk drives, and analyzes its characteristics such as dependence on disk-drive type, spatial and temporal locality, and correlation with workload.

Standardizing Storage Clusters: Will pNFS become the new standard for parallel data access?

Garth Goodson, Sai Susarla, and Rahul Iyer.

POTSHARDS: Secure Long-Term Storage Without Encryption

atc07_button.jpgMark W. Storer, Kevin M. Greenan, Ethan L. Miller, and Kaladhar Voruganti.

POTSHARDS is an archival storage system that provides long-term recoverable security for data with very long lifetimes by using provably secure secret splitting.

An Analysis of Latent Sector Errors in Disk Drives

Lakshmi N. Bairavasundaram, Garth R. Goodson, Shankar Pasupathy, and Jiri Schindler.

This paper presents one of the largest disk-drive studies ever—examining 1.53 million disk drives in the field—for occurrences and characteristics of latent sector errors; it finds that such errors are non-independent events, depend on the type of disk drive, and have spatial and temporal locality.

Data ONTAP GX: A Scalable Storage Cluster

fast07_button.jpgMichael Eisler, Peter Corbett, Michael Kazar, Daniel S. Nydick, and J. Christopher Wagner.

This paper presents Data ONTAP GX, a clustered Network Attached File server that is composed of a number of cooperating filers.

Enhancing the Linux Memory Architecture to Support File Systems over Heterogeneous Devices

Alexandros Batsakis, Randal Burns, Thomas Talpey, Arkady Kanevsky, and James Lentini.

The Private Lives of Disk Drives

Rajesh Sundaram

Making enterprise storage more search-friendly

Shankar Pasupathy, Garth Goodson, and Vijayan Prabhakaran.