GC-CR: A Decentralized Garbage Collector Component for Checkpointing in Clouds

  • Thouraya Louati ENSIT / University of Tunis
  • Heithem Abbes ENSIT / University of Tunis
  • Christophe Cérin LIPN / Univcrsité de Paris 13
  • Mohamed Jemni ENSIT / University of Tunis

Resumo


Infrastructure-as-a-Service container-based virtualization technology is gaining significant interest in industry as an alternative platform for running distributed applications. With increasing scale of Cloud Computing architectures, faults are becoming a frequent occurrence. Checkpoint-Restart is a key method to survive to failures in this context. However, there is a need to reduce the amount of checkpointing data as the Cloud is based on the pay-as-you-go model. This paper addresses the issue of garbage collection in LXCloud-CR and contributes with a novel decentralized garbage collection component “GC-CR”. LXCloud-CR, a decentralized Checkpoint-Restart model, is able to take snapshots of Linux Container instances and it uses replication to increase snapshots availability. LXCloud-CR contains a versioning scheme for each replica. The disadvantage refers to snapshots availability issues with versioning as the number of useless files grows. GC-CR is a decentralized garbage collector (checkpoint deletion) component that attempts to identify and eliminate old snapshots versions from the system in order to free storage space. Large scale experiments on the Grid'5000 testbed demonstrate the benefits of our proposal. Obtained results validate our model and show significant reduction of storage space consumption.
Palavras-chave: Containers, Peer-to-peer computing, Cloud computing, Computer architecture, Fault tolerance, Fault tolerant systems, Linux, Clouds, Fault Tolerance, Checkpoint-Restart, Versioning, Garbage Collector Component, Grid’5000
Publicado
17/10/2017
LOUATI, Thouraya; ABBES, Heithem; CÉRIN, Christophe; JEMNI, Mohamed. GC-CR: A Decentralized Garbage Collector Component for Checkpointing in Clouds. In: INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE AND HIGH PERFORMANCE COMPUTING (SBAC-PAD), 29. , 2017, Campinas/SP. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2017 . p. 97-104.