Subject: Memory management, Virtual machine monitors, Random access memory, Prototypes, Cloud computing, Data centers, Data collection, Cloud infrastructure, memory access management, page faults, pre-fetching, virtualization, XEN
Year: 2021
Type: Article
Title: Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications
Author: Sasko Ristov, Thomas Fahringer, Radu Prodan, Magdalena Kostoska, Marjan Gusev, Schahram Dustdar
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.
Publisher: IEEE Internet Computing
Relation: bilateral AUT-MKD project PRE-FETCH: Pro-active Memory Management with Page Faults Prediction in Clouds, financed by Austrian Federal ministry of Science, Research and Economy (BMWFW), and the Ministry of Education and Science of Republic of North Macedonia
Identifier: oai:repository.ukim.mk:20.500.12188/26838
Identifier: S. Ristov, T. Fahringer, R. Prodan, M. Kostoska, M. Gusev and S. Dustdar, "Interhost Orchestration Platform Architecture for Ultrascale Cloud Applications," in IEEE Internet Computing, vol. 25, no. 3, pp. 23-30, 1 May-June 2021, doi: 10.1109/MIC.2020.3034293.
Identifier: http://hdl.handle.net/20.500.12188/26838Identifier: 10.1109/MIC.2020.3034293.
