UIE: User-centric interference estimation for cloud applications

Seyyed Ahmad Javadi; Sagar Mehra; Bharath Kumar Reddy Vangoor; Anshul Gandhi

doi:10.1109/IC2E.2016.13

UIE: User-centric interference estimation for cloud applications

Seyyed Ahmad Javadi
, Sagar Mehra
, Bharath Kumar Reddy Vangoor
, Anshul Gandhi

Computer Science

Stony Brook University

Stony Brook University

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

9 Scopus citations

Abstract

Interference is one of the key deterrents to cloud adoption, and is known to cause severe degradation in application performance, costing service providers in lost revenues. In this paper, we present UIE, a user-centric approach to detecting and, importantly, estimating the degree of interference experienced by user applications in the cloud. UIE employs queueing theory to model the impact of resource contention on application performance. By leveraging UIE, users can estimate the true amount of resources, including CPU, network, and I/O, allocated to their application at any given time, without any assistance from the cloud provider or hypervisor.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016
Subtitle of host publication	Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	119-122
Number of pages	4
ISBN (Electronic)	9781509019618
DOIs	https://doi.org/10.1109/IC2E.2016.13
State	Published - Jun 1 2016
Event	4th IEEE Annual International Conference on Cloud Engineering, IC2E 2016 - Berlin, Germany Duration: Apr 4 2016 → Apr 8 2016

Publication series

Name	Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016

Conference

Conference	4th IEEE Annual International Conference on Cloud Engineering, IC2E 2016
Country/Territory	Germany
City	Berlin
Period	04/4/16 → 04/8/16

Keywords

Cloud computing
Estimation
Interference
Queueing theory

Access to Document

10.1109/IC2E.2016.13

Cite this

Javadi, S. A., Mehra, S., Vangoor, B. K. R., & Gandhi, A. (2016). UIE: User-centric interference estimation for cloud applications. In Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016 (pp. 119-122). Article 7484171 (Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC2E.2016.13

Javadi, Seyyed Ahmad ; Mehra, Sagar ; Vangoor, Bharath Kumar Reddy et al. / UIE : User-centric interference estimation for cloud applications. Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 119-122 (Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016).

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title = "UIE: User-centric interference estimation for cloud applications",

abstract = "Interference is one of the key deterrents to cloud adoption, and is known to cause severe degradation in application performance, costing service providers in lost revenues. In this paper, we present UIE, a user-centric approach to detecting and, importantly, estimating the degree of interference experienced by user applications in the cloud. UIE employs queueing theory to model the impact of resource contention on application performance. By leveraging UIE, users can estimate the true amount of resources, including CPU, network, and I/O, allocated to their application at any given time, without any assistance from the cloud provider or hypervisor.",

keywords = "Cloud computing, Estimation, Interference, Queueing theory",

author = "Javadi, \{Seyyed Ahmad\} and Sagar Mehra and Vangoor, \{Bharath Kumar Reddy\} and Anshul Gandhi",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE Annual International Conference on Cloud Engineering, IC2E 2016 ; Conference date: 04-04-2016 Through 08-04-2016",

year = "2016",

month = jun,

day = "1",

doi = "10.1109/IC2E.2016.13",

language = "English",

series = "Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016",

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Javadi, SA, Mehra, S, Vangoor, BKR & Gandhi, A 2016, UIE: User-centric interference estimation for cloud applications. in Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016., 7484171, Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016, Institute of Electrical and Electronics Engineers Inc., pp. 119-122, 4th IEEE Annual International Conference on Cloud Engineering, IC2E 2016, Berlin, Germany, 04/4/16. https://doi.org/10.1109/IC2E.2016.13

UIE: User-centric interference estimation for cloud applications. / Javadi, Seyyed Ahmad; Mehra, Sagar; Vangoor, Bharath Kumar Reddy et al.
Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 119-122 7484171 (Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016).

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

TY - GEN

T1 - UIE

T2 - 4th IEEE Annual International Conference on Cloud Engineering, IC2E 2016

AU - Javadi, Seyyed Ahmad

AU - Mehra, Sagar

AU - Vangoor, Bharath Kumar Reddy

AU - Gandhi, Anshul

PY - 2016/6/1

Y1 - 2016/6/1

N2 - Interference is one of the key deterrents to cloud adoption, and is known to cause severe degradation in application performance, costing service providers in lost revenues. In this paper, we present UIE, a user-centric approach to detecting and, importantly, estimating the degree of interference experienced by user applications in the cloud. UIE employs queueing theory to model the impact of resource contention on application performance. By leveraging UIE, users can estimate the true amount of resources, including CPU, network, and I/O, allocated to their application at any given time, without any assistance from the cloud provider or hypervisor.

AB - Interference is one of the key deterrents to cloud adoption, and is known to cause severe degradation in application performance, costing service providers in lost revenues. In this paper, we present UIE, a user-centric approach to detecting and, importantly, estimating the degree of interference experienced by user applications in the cloud. UIE employs queueing theory to model the impact of resource contention on application performance. By leveraging UIE, users can estimate the true amount of resources, including CPU, network, and I/O, allocated to their application at any given time, without any assistance from the cloud provider or hypervisor.

KW - Cloud computing

KW - Estimation

KW - Interference

KW - Queueing theory

UR - https://www.scopus.com/pages/publications/84978062354

U2 - 10.1109/IC2E.2016.13

DO - 10.1109/IC2E.2016.13

M3 - Conference contribution

T3 - Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016

SP - 119

EP - 122

BT - Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 April 2016 through 8 April 2016

ER -

Javadi SA, Mehra S, Vangoor BKR, Gandhi A. UIE: User-centric interference estimation for cloud applications. In Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 119-122. 7484171. (Proceedings - 2016 IEEE International Conference on Cloud Engineering, IC2E 2016: Co-located with the 1st IEEE International Conference on Internet-of-Things Design and Implementation, IoTDI 2016). doi: 10.1109/IC2E.2016.13

UIE: User-centric interference estimation for cloud applications

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Keywords

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