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KPI-agnostic Control for Fine-Grained Vertical Elasticity

Bayuh Lakew, Ewnetu; Papadopoulos, Alessandro Vittorio LU ; Maggio, Martina LU ; Klein, Cristian and Elmroth, Erik (2017) 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing In 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2017) p.589-598
Abstract
Applications hosted in the cloud have become indispensable in several contexts, with their performance often being key to business operation and their running costs needing to be minimized. To minimize running costs, most modern virtualization technologies such as Linux Containers, Xen, and KVM offer powerful resource control primitives for individual provisioning - that enable adding or removing of fraction of cores and/or megabytes of memory for as short as few seconds. Despite the technology being ready, there is a lack of proper techniques for fine-grained resource allocation, because there is an inherent challenge in determining the correct composition of resources an application needs, with varying workload, to ensure deterministic... (More)
Applications hosted in the cloud have become indispensable in several contexts, with their performance often being key to business operation and their running costs needing to be minimized. To minimize running costs, most modern virtualization technologies such as Linux Containers, Xen, and KVM offer powerful resource control primitives for individual provisioning - that enable adding or removing of fraction of cores and/or megabytes of memory for as short as few seconds. Despite the technology being ready, there is a lack of proper techniques for fine-grained resource allocation, because there is an inherent challenge in determining the correct composition of resources an application needs, with varying workload, to ensure deterministic performance.

This paper presents a control-based approach for the management of multiple resources, accounting for the resource consumption, together with the application performance, enabling fine-grained vertical elasticity. The control strategy ensures that the application meets the target performance indicators, consuming as less resources as possible. We carried out an extensive set of experiments using different applications - interactive with response-time requirements, as well as non-interactive with throughput desires - by varying the workload mixes of each application over time. The results demonstrate that our solution precisely provides guaranteed performance while at the same time avoiding both resource over- and under-provisioning. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2017)
pages
589 - 598
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
external identifiers
  • scopus:85027250578
ISBN
978-1-5090-6611-7
DOI
10.1109/CCGRID.2017.71
language
English
LU publication?
yes
id
44a48b1a-55e6-42cc-a590-30883dcbc602
date added to LUP
2017-02-23 13:48:06
date last changed
2018-02-22 15:44:25
@inproceedings{44a48b1a-55e6-42cc-a590-30883dcbc602,
  abstract     = {Applications hosted in the cloud have become indispensable in several contexts, with their performance often being key to business operation and their running costs needing to be minimized. To minimize running costs, most modern virtualization technologies such as Linux Containers, Xen, and KVM offer powerful resource control primitives for individual provisioning - that enable adding or removing of fraction of cores and/or megabytes of memory for as short as few seconds. Despite the technology being ready, there is a lack of proper techniques for fine-grained resource allocation, because there is an inherent challenge in determining the correct composition of resources an application needs, with varying workload, to ensure deterministic performance.<br/><br/>This paper presents a control-based approach for the management of multiple resources, accounting for the resource consumption, together with the application performance, enabling fine-grained vertical elasticity. The control strategy ensures that the application meets the target performance indicators, consuming as less resources as possible. We carried out an extensive set of experiments using different applications - interactive with response-time requirements, as well as non-interactive with throughput desires - by varying the workload mixes of each application over time. The results demonstrate that our solution precisely provides guaranteed performance while at the same time avoiding both resource over- and under-provisioning.},
  author       = {Bayuh Lakew, Ewnetu and Papadopoulos, Alessandro Vittorio and Maggio, Martina and Klein, Cristian and Elmroth, Erik},
  booktitle    = {17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2017)},
  isbn         = {978-1-5090-6611-7 },
  language     = {eng},
  pages        = {589--598},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {KPI-agnostic Control for Fine-Grained Vertical Elasticity},
  url          = {http://dx.doi.org/10.1109/CCGRID.2017.71},
  year         = {2017},
}