Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Thad Benjaponpitak

dblp:271/9927 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none

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

Computer networks · 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
Cloud and datacenter computing · 100%

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

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
cloud migration
0.412020
Enabling Live Migration of Containerized Applications Across Clouds · INFOCOM 2020
Cloud and datacenter computing › virtualization › virtual machine migration
live migration
0.412020
Enabling Live Migration of Containerized Applications Across Clouds · INFOCOM 2020
Cloud and datacenter computing › cloud deployment
multi-cloud
0.412020
Enabling Live Migration of Containerized Applications Across Clouds · INFOCOM 2020

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

traffic redirection · 0.4pre-copy migration · 0.4
YearPublicationVenuePosition
2020 Enabling Live Migration of Containerized Applications Across Clouds
abstract
Live migration, the process of transferring a running application to a different physical location with minimal downtime, can provide many benefits desired by modern cloudbased systems. Furthermore, live migration between different cloud providers enables a new level of freedom for cloud users to move their workloads around for performance or business objectives without having to be tied down to any single provider. While this vision is not new, to-date, there are few solutions and proof-of-concepts that provide this capability. As containerized applications are gaining popularity, we focus on the design and implementation of live migration of containers across cloud providers. CloudHopper, our proof-of-concept live migration service for containers to hop around between Amazon Web Services, Google Cloud Platform, and Microsoft Azure is evaluated using a common web-based workload. CloudHopper is automated and supports pre-copy optimization, connection holding, traffic redirection, and multiple interdependent container migration. It is applicable to a broad range of application use cases.
Thad Benjaponpitak, Meatasit Karakate, Kunwadee Sripanidkulchai
INFOCOM1