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LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing

Fulltext:


Authors:

Auday Al-Dulaimy, Javid Taheri , Alessandro Papadopoulos, Thomas Nolte

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

12th ACM/SPEC International Conference on Performance Engineering

DOI:

10.1145/3427921.3450254

Abstract

Resource sharing among a set of virtual machines (VMs) which are co-hosted on heterogeneous physical machines (PMs) introduces major benefits for improving resource utilization and total cost of ownership, but it can create technical challenges on the running performance. In practice, orchestrators are required to allocate sufficient physical resources to each VM to meet a set of predefined performance goals. To ensure a specific service level objective, the orchestrator needs to be equipped with a dynamic tool for assigning computing resources to each VM, based on the run-time state of the target environment. To this end, we present LOOPS, a multi-loop control approach, to allocate resources to VMs based on the service level agreement (SLA) requirements and the run- time conditions. LOOPS is mainly composed of one essential unit to monitor VMs, and three control levels to allocate resources to VMs based on requests from the essential node. A tailor-made controller is proposed with each level to regulate contention among collocated VMs, to reallocate resources if required, and to migrate VMs from one host to another. The three levels work together to meet the required SLA. The experimental results have shown that the proposed approach can meet applications’ performance goals by assigning the resources that the applications require.

Bibtex

@inproceedings{Al-Dulaimy6161,
author = {Auday Al-Dulaimy and Javid Taheri and Alessandro Papadopoulos and Thomas Nolte},
title = {LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing},
pages = {117--124},
month = {April},
year = {2021},
booktitle = {12th ACM/SPEC International Conference on Performance Engineering},
url = {http://www.es.mdu.se/publications/6161-}
}