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John McCullough

dblp:00/7936 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 61% Cloud and datacenter computing · 39%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › distributed storage
storage cluster
0.112012
scc: cluster storage provisioning informed by application characteristics and SLAs · FAST 2012
Storage systems › storage management › storage resource management
storage provisioning
0.112012
scc: cluster storage provisioning informed by application characteristics and SLAs · FAST 2012
Cloud and datacenter computing
cloud storage
0.112010
Stout: An Adaptive Interface to Scalable Cloud Storage · USENIX ATC 2010
Cloud and datacenter computing
cluster resource management and scheduling
0.012012
scc: cluster storage provisioning informed by application characteristics and SLAs · FAST 2012
Cloud and datacenter computing
datacenter storage
0.012010
Stout: An Adaptive Interface to Scalable Cloud Storage · USENIX ATC 2010
YearPublicationVenuePosition
2012 scc: cluster storage provisioning informed by application characteristics and SLAs
Harsha V. Madhyastha, John McCullough, George Porter, Rishi Kapoor, Stefan Savage, Alex C. Snoeren, Amin Vahdat
FAST2
2010 Stout: An Adaptive Interface to Scalable Cloud Storage
John McCullough, John Dunagan, Alec Wolman, Alex C. Snoeren
USENIX ATC1
2010 Neon: system support for derived data management
abstract
Modern organizations face increasingly complex information management requirements. A combination of commercial needs, legal liability and regulatory imperatives has created a patchwork of mandated policies. Among these, personally identifying customer records must be carefully access-controlled, sensitive files must be encrypted on mobile computers to guard against physical theft, and intellectual property must be protected from both exposure and "poisoning." However, enforcing such policies can be quite difficult in practice since users routinely share data over networks and derive new files from these inputs--incidentally laundering any policy restrictions. In this paper, we describe a virtual machine monitor system called Neon that transparently labels derived data using byte-level "tints" and tracks these labels end to end across commodity applications, operating systems and networks. Our goal with Neon is to explore the viability and utility of transparent information flow tracking within conventional networked systems when used in the manner in which they were intended. We demonstrate that this mechanism allows the enforcement of a variety of data management policies, including data-dependent confinement, mandatory I/O encryption, and intellectual property management.
Qing Zhang 0012, John McCullough, Justin Ma, Nabil Schear, Michael Vrable, Amin Vahdat, Alex C. Snoeren, Geoffrey M. Voelker, Stefan Savage
VEE2