NDLI: MVEI: An Interference Prediction Model for CPU-intensive Application in Cloud Environment

Content Provider	IEEE Xplore Digital Library
Author	Xiaoli Sun Qingbo Wu Yusong Tan Fuhui Wu
Copyright Year	2014
Description	Author affiliation: Coll. of Comput., Nat. Univ. of Defense Technol., Changsha, China (Xiaoli Sun; Qingbo Wu; Yusong Tan; Fuhui Wu)
Abstract	Consolidation and overbooking are two important methods to improve the resource utilization in cloud computing. In overbooking cloud environment, the resources occupied by virtual machine are restricted to guarantee performance fairness between multi-tenants. However, the interaction among co-host applications results in performance degradation because of the resource sharing and competition. Previous studies about performance interference mainly focused on traditional virtual environment and didn't take the resource restriction into account. In order to predict the effect of interference in cloud environment, which can give suggestions for resource scheduling in turn, we conduct comprehensive experiments about CPU-intensive application in Cloud. Firstly, the interfering factors of the performance are analyzed, and the relationships between different factors and interference are obtained by using the least squares method. Then, a multivariable exponent interference (MVEI) model is proposed to predict the interference in resource restricted environment. Finally, the experimental results indicates the MVEI model can predict interference more precisely than linear and quadratic model.
Starting Page	83
Ending Page	87
File Size	801326
Page Count	5
File Format	PDF
e-ISBN	9781479941698
DOI	10.1109/DCABES.2014.21
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Analytical models Interference predication CPU-intensive application Computational modeling Interference Predictive models Virtual machining Resource management MVEI model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Modeling for CPU-Intensive Applications in Cloud Computing

Automatic VM Allocation for Scientific Application

Modeling for I/O Intensive Applications in Cloud Computing

Performance of an IaaS cloud with live migration of virtual machines

Modeling I/O Interference in Data Intensive Map-Reduce Applications

Research on Application Classification Method in Cloud Computing Environment

Survey of dynamic resource management approaches in virtualized data centers

Cloud Computing Model without Resource Management Center

Virtual machine migration implementation in load balancing for Cloud computing

MVEI: An Interference Prediction Model for CPU-intensive Application in Cloud Environment

Similar Documents

Modeling for CPU-Intensive Applications in Cloud Computing

Automatic VM Allocation for Scientific Application

Modeling for I/O Intensive Applications in Cloud Computing

Performance of an IaaS cloud with live migration of virtual machines

Modeling I/O Interference in Data Intensive Map-Reduce Applications

Research on Application Classification Method in Cloud Computing Environment

Survey of dynamic resource management approaches in virtualized data centers

Cloud Computing Model without Resource Management Center

Virtual machine migration implementation in load balancing for Cloud computing

MVEI: An Interference Prediction Model for CPU-intensive Application in Cloud Environment