Autonomic cross-layer management of cloud systems

Cihan Tunc; Farah Fargo; Youssif Al-Nashif; Salim A Hariri

doi:10.1109/FAS-W.2017.141

Autonomic cross-layer management of cloud systems

Cihan Tunc, Farah Fargo, Youssif Al-Nashif, Salim A Hariri

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The current management techniques of large scale cloud systems are inefficient, and lead to high operational costs. In this paper, we present a cross-layer management framework that overcomes the current IT management challenges of cloud systems and their applications. The proposed framework monitors and performs holistic analysis of the cloud system resource utilization from the physical layer, the hypervisor layer, and the virtual machine (VM) layer. For a given set of constraints (such as low power, cost minimization, etc.), policies are generated based on the Service Level Agreements (SLAs) that will be maintained at runtime by our cross-layer management system. We have evaluated our framework using a bidding application on a private cloud system. By autonomously scaling up/down the VM resources at runtime, the cross-layer management framework can effectively improve resource utilization and reduce the operational costs.

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	160-165
Number of pages	6
ISBN (Electronic)	9781509065585
DOIs	https://doi.org/10.1109/FAS-W.2017.141
State	Published - Oct 9 2017
Event	2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 - Tucson, United States Duration: Sep 18 2017 → Sep 22 2017

Other

Other	2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017
Country	United States
City	Tucson
Period	9/18/17 → 9/22/17

Keywords

autonomic resource management
cloud computing
self-configuring systems

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Computational Mechanics

Access to Document

10.1109/FAS-W.2017.141

Fingerprint Dive into the research topics of 'Autonomic cross-layer management of cloud systems'. Together they form a unique fingerprint.

Cite this

Tunc, C., Fargo, F., Al-Nashif, Y., & Hariri, S. A. (2017). Autonomic cross-layer management of cloud systems. In Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 (pp. 160-165). [8064117] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FAS-W.2017.141

Autonomic cross-layer management of cloud systems. / Tunc, Cihan; Fargo, Farah; Al-Nashif, Youssif; Hariri, Salim A.

Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 160-165 8064117.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tunc, C, Fargo, F, Al-Nashif, Y & Hariri, SA 2017, Autonomic cross-layer management of cloud systems. in Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017., 8064117, Institute of Electrical and Electronics Engineers Inc., pp. 160-165, 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017, Tucson, United States, 9/18/17. https://doi.org/10.1109/FAS-W.2017.141

@inproceedings{2dc9b54da50d407081bdc4c6cd2d5921,

title = "Autonomic cross-layer management of cloud systems",

abstract = "The current management techniques of large scale cloud systems are inefficient, and lead to high operational costs. In this paper, we present a cross-layer management framework that overcomes the current IT management challenges of cloud systems and their applications. The proposed framework monitors and performs holistic analysis of the cloud system resource utilization from the physical layer, the hypervisor layer, and the virtual machine (VM) layer. For a given set of constraints (such as low power, cost minimization, etc.), policies are generated based on the Service Level Agreements (SLAs) that will be maintained at runtime by our cross-layer management system. We have evaluated our framework using a bidding application on a private cloud system. By autonomously scaling up/down the VM resources at runtime, the cross-layer management framework can effectively improve resource utilization and reduce the operational costs.",

keywords = "autonomic resource management, cloud computing, self-configuring systems",

author = "Cihan Tunc and Farah Fargo and Youssif Al-Nashif and Hariri, {Salim A}",

year = "2017",

month = oct,

day = "9",

doi = "10.1109/FAS-W.2017.141",

language = "English (US)",

pages = "160--165",

booktitle = "Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017 ; Conference date: 18-09-2017 Through 22-09-2017",

}

TY - GEN

T1 - Autonomic cross-layer management of cloud systems

AU - Tunc, Cihan

AU - Fargo, Farah

AU - Al-Nashif, Youssif

AU - Hariri, Salim A

PY - 2017/10/9

Y1 - 2017/10/9

N2 - The current management techniques of large scale cloud systems are inefficient, and lead to high operational costs. In this paper, we present a cross-layer management framework that overcomes the current IT management challenges of cloud systems and their applications. The proposed framework monitors and performs holistic analysis of the cloud system resource utilization from the physical layer, the hypervisor layer, and the virtual machine (VM) layer. For a given set of constraints (such as low power, cost minimization, etc.), policies are generated based on the Service Level Agreements (SLAs) that will be maintained at runtime by our cross-layer management system. We have evaluated our framework using a bidding application on a private cloud system. By autonomously scaling up/down the VM resources at runtime, the cross-layer management framework can effectively improve resource utilization and reduce the operational costs.

AB - The current management techniques of large scale cloud systems are inefficient, and lead to high operational costs. In this paper, we present a cross-layer management framework that overcomes the current IT management challenges of cloud systems and their applications. The proposed framework monitors and performs holistic analysis of the cloud system resource utilization from the physical layer, the hypervisor layer, and the virtual machine (VM) layer. For a given set of constraints (such as low power, cost minimization, etc.), policies are generated based on the Service Level Agreements (SLAs) that will be maintained at runtime by our cross-layer management system. We have evaluated our framework using a bidding application on a private cloud system. By autonomously scaling up/down the VM resources at runtime, the cross-layer management framework can effectively improve resource utilization and reduce the operational costs.

KW - autonomic resource management

KW - cloud computing

KW - self-configuring systems

UR - http://www.scopus.com/inward/record.url?scp=85035236540&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85035236540&partnerID=8YFLogxK

U2 - 10.1109/FAS-W.2017.141

DO - 10.1109/FAS-W.2017.141

M3 - Conference contribution

AN - SCOPUS:85035236540

SP - 160

EP - 165

BT - Proceedings - 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2017

Y2 - 18 September 2017 through 22 September 2017

ER -