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James J. Moore

dblp:115/5950 · DBLP profile ↗
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1ranked-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 · 1 · 1 first-author

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
1 paper
Distributed systems · 44% Cloud and datacenter computing · 44% Storage systems · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed systems
fault tolerance
0.112012
A resiliency model for high performance infrastructure based on logical encapsulation · HPDC 2012
Cloud and datacenter computing › virtualization
virtualized infrastructure
0.112012
A resiliency model for high performance infrastructure based on logical encapsulation · HPDC 2012
Storage systems
network-attached storage
0.012012
A resiliency model for high performance infrastructure based on logical encapsulation · HPDC 2012

Methods — techniques the papers use, named apart from their topics

virtual machine federation · 0.1asynchronous state capture · 0.1
YearPublicationVenuePosition
2012 A resiliency model for high performance infrastructure based on logical encapsulation
abstract
An emerging trend in distributed systems is the creation of dynamically provisioned heterogeneous high performance platforms that include the co-allocation of both virtualized computing and network attached storage volumes offering NAS and SAN level data services. These high performance computing environments support parallel applications performing traditional file system operations. As with any parallel platform the ability to continue computation in the face of component failures is an important characteristic. Achieving resiliency in heterogeneous environments presents unique challenges and opportunities not found in homogeneous aggregations of computing resources. We present a logical encapsulation model for heterogeneous high performance infrastructure, which enables a reactive resiliency approach for federations of virtual machines and externally hosted physical storage volumes. Asynchronous state capture and restoration models are presented for individual resources, which are composed into non-blocking resiliency models for logical encapsulations. We perform an evaluation that demonstrates our methodology has greater overall flexibility and significant performance improvements when compared to current resiliency approaches in virtualized distributed execution environments.
James J. Moore, Carl Kesselman
HPDC1