MDB-KCP: persistence framework of in-memory database with CRIU-based container checkpoint in Kubernetes

As the demand for container technology and platforms increases due to the efficiency of IT resources, various workloads are being containerized. Although there are efforts to integrate various workloads into Kubernetes, the most widely used container platform today, the nature of containers makes it...

Full description

Saved in:

Bibliographic Details
Published in:	Journal of cloud computing : advances, systems and applications Vol. 13; no. 1; pp. 124 - 14
Main Authors:	Lee, Jeongmin, Kang, Hyeongbin, Yu, Hyeon-jin, Na, Ji-Hyun, Kim, Jungbin, Shin, Jae-hyuck, Noh, Seo-Young
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024 Springer Nature B.V SpringerOpen
Subjects:	Big Data Checkpoint/restore Checkpointing Cloud computing Computer Communication Networks Computer memory Computer Science Computer System Implementation Computer Systems Organization and Communication Networks Container Containers Data processing Data recovery Efficiency Failure In-memory database Information Systems Applications (incl.Internet) Kubernetes Software Engineering/Programming and Operating Systems Special Purpose and Application-Based Systems Workload Workloads Container Checkpoint/restore Kubernetes In-memory database
ISSN:	2192-113X, 2192-113X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!