Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications

Journal
IEEE Internet Computing
Date Issued
2021-05
Author(s)
Sasko Ristov, Thomas Fahringer, Radu Prodan, Magdalena Kostoska, Marjan Gusev, Schahram Dustdar
DOI
10.1109/MIC.2020.3034293.
Abstract
Cloud data centers exploit many memory page management techniques that reduce the total memory utilization and access time. Mainly these techniques are applied to a hypervisor in a single host (intra-hypervisor) without the possibility to exploit the knowledge obtained by a group of hosts (clusters). We introduce a novel interhypervisor orchestration platform to provide intelligent memory page management for horizontal scaling. It will use the performance behavior of faster virtual machines to activate prefetching mechanisms that reduce the number of page faults. The overall platform consists of five modules-profiler, collector, classifier, predictor, and prefetcher. We developed and deployed a prototype of the platform, which comprises the first three modules. The evaluation shows that data collection is feasible in real-time, which means that if our approach is used on top of the existing memory page management techniques, it can significantly lower the miss rate that initiates page faults.
Subjects

Memory management, Vi...

File(s)
Loading...
Thumbnail Image
Name

Zeitschriftenartikel_2021_SD_Interhost.pdf

Description
Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications
Size

1.65 MB

Format

Adobe PDF

Checksum

(MD5):98c10ff8ca6b9b462fbc4239fd157b9f