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

Kota Asanuma

dblp:367/1515 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

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

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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 · 87% Storage systems · 13%
Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing
virtualization
0.812024
DBMS-Assisted Live Migration of Virtual Machines · IEEE Trans. Computers 2024
Cloud and datacenter computing › virtualization › virtual machine migration
virtual machine live migration
0.812024
DBMS-Assisted Live Migration of Virtual Machines · IEEE Trans. Computers 2024
Indexing and storage engines
buffer management
0.212024
DBMS-Assisted Live Migration of Virtual Machines · IEEE Trans. Computers 2024
Storage systems
shared storage
0.212024
DBMS-Assisted Live Migration of Virtual Machines · IEEE Trans. Computers 2024

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

pre-copy migration · 1.5post-copy migration · 1.5
YearPublicationVenuePosition
2024 DBMS-Assisted Live Migration of Virtual Machines
abstract
Live migration of virtual machines (VMs) is a technique that moves active VMs between different physical hosts without losing any running states. Although it is desirable for administrators that the live migration is completed as quickly as possible, the pre-copy-based live migration, widely used in modern hypervisors, does not satisfy this demand on the current trend that VMs on which running applications are performance-critical such as database management systems (DBMSes) have quite large memory.DMigrate, presented in this paper, shortens the time for live-migrating VMs with even large memory DBMSes. To quickly produce the running state of the migrating VMs on the destination, DMigrate performs regular memory transfers while simultaneously constructing the DBMS’s buffer-pool by fetching the data items from the shared storage. We prototyped DMigrate on MySQL 5.7.30, QEMU 5.1.0, and Linux 4.18.20. The experimental results show that the migration time of the prototype is up to 1.71× and 1.71× shorter under workloads, including sysbench and TPC-C, than the default pre-copy and post-copy schemes, respectively.
Kota Asanuma
IEEE Trans. Computers1