@Article{Ristov2021, author = {Sasko Ristov and Thomas Fahringer and Radu Prodan and Magdalena Kostoska and Marjan Gusev and Schahram Dustdar}, journal = {IEEE Internet Computing}, title = {{Inter-host Orchestration Platform Architecture for Ultra-scale Cloud Applications}}, year = {2021}, issn = {1941-0131}, pages = {1--1}, 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 inter-hypervisor orchestration platform to provide intelligent memory page management for horizontal scaling. It will use the performance behavior of faster virtual machines to activate pre-fetching mechanisms that reduce the number of page faults. The overall platform consists of five modules - profiler, collector, classifier, predictor, and pre-fetcher. 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.}, doi = {10.1109/mic.2020.3034293}, keywords = {Cloud infrastructure, memory access management, page faults, pre-fetching, virtualiziation, XEN}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, url = {https://ieeexplore.ieee.org/document/9245504} }