NDLI: Multi-version Execution for the Dynamic Updating of Cloud Applications

Content Provider	IEEE Xplore Digital Library
Author	Feng Chen Weizhong Qiang Hai Jin Deqing Zou Duoqiang Wang
Copyright Year	2015
Description	Author affiliation: Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China (Feng Chen; Weizhong Qiang; Hai Jin; Deqing Zou; Duoqiang Wang)
Abstract	Softwares usually need to be updated to fix bugs or add new features. On the other hand, some critical softwares, such as cloud applications, need to provide service continuously, thus should be updated without downtime. Conventional Dynamic Software Updating (DSU) systems try to update programs while running, but they hardly consider the communication of the program to be updated with other programs, which may lead to some inconsistency problems. We handle the problem with an improved DSU system by using multi-version execution. When a new update arrives, instead of updating the application to the new version, we fork a new process of the old version and dynamically update it to the new version, then make these two versions run concurrently until the update finishes. We implement a prototype system called MUC (Multi-vesion for Updating of Cloud) on Linux. To verify our prototype, we apply MUC to cloud applications Redis and Ice cast, and evaluate the overhead of MUC at runtime.
Starting Page	185
Ending Page	190
File Size	747490
Page Count	6
File Format	PDF
ISSN	07303157
e-ISBN	9781467365642
DOI	10.1109/COMPSAC.2015.130
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Software Synchronization Prototypes Linux Analytical models Process control Cloud Dynamic software updating Multi-version
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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

Safe software updates via multi-version execution

Modeling and Analysis of Multi-version Concurrent Control

Multi-version software updates

DDSS: Dynamic dedicated servers scheduling for multi priority level classes in cloud computing

Analysis and prevention of vulnerabilities in cloud applications

Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud

Round-trip time mitigation through speculative display updating for applications rendered in the cloud

A Formal Model for Dynamic Service Updates in Pervasive Computing

h-DDSS: Heterogeneous Dynamic Dedicated servers scheduling in cloud computing

Multi-version Execution for the Dynamic Updating of Cloud Applications

Similar Documents

Safe software updates via multi-version execution

Modeling and Analysis of Multi-version Concurrent Control

Multi-version software updates

DDSS: Dynamic dedicated servers scheduling for multi priority level classes in cloud computing

Analysis and prevention of vulnerabilities in cloud applications

Machine Learning for Achieving Self-* Properties and Seamless Execution of Applications in the Cloud

Round-trip time mitigation through speculative display updating for applications rendered in the cloud

A Formal Model for Dynamic Service Updates in Pervasive Computing

h-DDSS: Heterogeneous Dynamic Dedicated servers scheduling in cloud computing

Multi-version Execution for the Dynamic Updating of Cloud Applications