NDLI: Memory overbooking and dynamic control of Xen virtual machines in consolidated environments

Content Provider	IEEE Xplore Digital Library
Author	Jin Heo Xiaoyun Zhu Padala, P. Zhikui Wang
Copyright Year	2009
Description	Author affiliation: University of Illinois at Urbana-Champaign, USA (Jin Heo) \|\| University of Michigan, Ann Arbor, USA (Padala, P.) \|\| VMware, Inc., USA (Xiaoyun Zhu) \|\| Hewlett-Packard Laboratories, USA (Zhikui Wang)
Abstract	The newly emergent cloud computing environments host hundreds to thousands of services on a shared resource pool. The sharing is enhanced by virtualization technologies allowing multiple services to run in different virtual machines (VMs) on a single physical node. Resource overbooking allows more services with time-varying demands to be consolidated reducing operational costs. In the past, researchers have studied dynamic control mechanisms for allocating CPU to virtual machines, when CPU is overbooked with respect to the sum of the peak demands from all the VMs. However, runtime re-allocation of memory among multiple VMs has not been widely studied, except on VMware platforms. In this paper, we present a case study where feedback control is used for dynamic memory allocation to Xen virtual machines in a consolidated environment. We illustrate how memory behaves differently from CPU in terms of its relationship to application-level performance, such as response times. We have built a prototype of a joint resource control system for allocating both CPU and memory resources to co-located VMs in real time. Experimental results show that our solution allows all the hosted applications to achieve the desired performance in spite of their time-varying CPU and memory demands, whereas a solution without memory control incurs significant service level violations.
Starting Page	630
Ending Page	637
File Size	1013864
Page Count	8
File Format	PDF
ISBN	9781424434862
DOI	10.1109/INM.2009.5188871
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Virtual machining Voice mail Cloud computing Costs Runtime Feedback control Delay Prototypes Control systems Resource management application performance virtualization consolidation resource overbooking dynamic control
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

Memory overbooking and dynamic control of xen virtual machines in consolidated environments.

Runtime Demand Estimation for effective dynamic resource management

On Strategies for Dynamic Resource Management in Virtualized Server Environments

Adaptive Management of Virtualized Resources in Cloud Computing Using Feedback Control

Policy-based dynamic resource allocation for virtual machines on Xen-enabled virtualization environment

On network flow management in virtualized environments

Batch Job Profiling and Adaptive Profile Enforcement for Virtualized Environments

Shares and utilities based power consolidation in virtualized server environments

Virtual Hypervisor: Enabling fair and economical resource partitioning in cloud environments

Memory overbooking and dynamic control of Xen virtual machines in consolidated environments

Similar Documents

Memory overbooking and dynamic control of xen virtual machines in consolidated environments.

Runtime Demand Estimation for effective dynamic resource management

On Strategies for Dynamic Resource Management in Virtualized Server Environments

Adaptive Management of Virtualized Resources in Cloud Computing Using Feedback Control

Policy-based dynamic resource allocation for virtual machines on Xen-enabled virtualization environment

On network flow management in virtualized environments

Batch Job Profiling and Adaptive Profile Enforcement for Virtualized Environments

Shares and utilities based power consolidation in virtualized server environments

Virtual Hypervisor: Enabling fair and economical resource partitioning in cloud environments

Memory overbooking and dynamic control of Xen virtual machines in consolidated environments