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Zhe Wu 0003

dblp:11/5670-3 · DBLP profile ↗
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6ranked-venue papers
5as first author
0since 2021 · last 2018
0009-0003-8750-4841ORCID · corroborated

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

Computer networks · 4 · 3 first-authorSystems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 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
3 papers
Cloud and datacenter computing · 32% Storage systems · 32% Hardware reliability and fault tolerance · 18%
Computer networks
1 paper
Content delivery and video streaming · 100%
Databases, data mining, and information retrieval
1 paper
Distributed and cloud data management · 100%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cloud storage
0.422015
CosTLO: Cost-Effective Redundancy for Lower Latency Variance on Cloud Storage Services · NSDI 2015
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services · SOSP 2013
Hardware reliability and fault tolerance
redundancy
0.212015
CosTLO: Cost-Effective Redundancy for Lower Latency Variance on Cloud Storage Services · NSDI 2015
Storage systems
storage reliability
0.212015
CosTLO: Cost-Effective Redundancy for Lower Latency Variance on Cloud Storage Services · NSDI 2015
Distributed and cloud data management › geo-distributed data management
geo-replicated database
0.212013
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services · SOSP 2013
Distributed systems › replication
data replication
0.212013
CSPAN: cost-effective geo-replicated storage spanning multiple cloud services · SIGCOMM 2013
Storage systems › distributed storage
geo-distributed storage
0.212013
CSPAN: cost-effective geo-replicated storage spanning multiple cloud services · SIGCOMM 2013
Content delivery and video streaming
web content delivery
0.112015
Klotski: Reprioritizing Web Content to Improve User Experience on Mobile Devices · NSDI 2015
Distributed systems
replication
0.012013
SPANStore: cost-effective geo-replicated storage spanning multiple cloud services · SOSP 2013

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

geo-replication · 0.3consistency maintenance · 0.3redundancy · 0.2erasure coding · 0.2
YearPublicationVenuePosition
2018 Bolt-On Global Consistency for the Cloud
abstract
Web services that enable users in multiple regions to collaborate can increase availability and decrease latency by replicating data across data centers. If such a service spreads its data across multiple cloud providers---for the associated performance, cost, and reliability benefits---it cannot rely on cloud providers to keep the data globally consistent.
Zhe Wu 0003, Edward Wijaya, Muhammed Uluyol, Harsha V. Madhyastha
SoCC1
2016 Rethinking Cloud Service Marketplaces
abstract
Services offered by cloud providers (e.g., for key-value storage and for redirecting clients to nearby data centers) simplify the development of applications deployed in the cloud. However, since any cloud provider’s service offerings are far from complete, many cloud providers host a service marketplace, wherein third parties can advertise new services.
Zhe Wu 0003, Harsha V. Madhyastha
HotNets1
2015 Klotski: Reprioritizing Web Content to Improve User Experience on Mobile Devices
Michael Butkiewicz, Daimeng Wang, Zhe Wu 0003, Harsha V. Madhyastha, Vyas Sekar
NSDI3
2015 CosTLO: Cost-Effective Redundancy for Lower Latency Variance on Cloud Storage Services
Zhe Wu 0003, Curtis Yu, Harsha V. Madhyastha
NSDI1
2013 CSPAN: cost-effective geo-replicated storage spanning multiple cloud services
abstract
Existing cloud computing platforms leave it up to applications to deal with the complexities associated with data replication and propagation across data centers. In our work, we propose the CSPAN key-value store to instead export a unified view of storage services in several geographically distributed data centers. To minimize the cost incurred by application providers, we combine two principles. First, CSPAN spans the data centers of multiple cloud providers. Second, CSPAN judiciously trades off the lower latencies and the higher storage and data propagation costs based on an application's anticipated workload, latency goals, and consistency requirements.
Zhe Wu 0003, Michael Butkiewicz, Dorian Jean Perkins, Ethan Katz-Bassett, Harsha V. Madhyastha
SIGCOMM1
2013 SPANStore: cost-effective geo-replicated storage spanning multiple cloud services
abstract
By offering storage services in several geographically distributed data centers, cloud computing platforms enable applications to offer low latency access to user data. However, application developers are left to deal with the complexities associated with choosing the storage services at which any object is replicated and maintaining consistency across these replicas.
Zhe Wu 0003, Michael Butkiewicz, Dorian Jean Perkins, Ethan Katz-Bassett, Harsha V. Madhyastha
SOSP1