NDLI: A Self-tuning Failure Detection Scheme for Cloud Computing Service

Content Provider	IEEE Xplore Digital Library
Author	Naixue Xiong Vasilakos, A.V. Jie Wu Yang, Y.R. Rindos, A. Yuezhi Zhou Wen-Zhan Song Yi Pan
Copyright Year	2012
Abstract	Cloud computing is an increasingly important solution for providing services deployed in dynamically scalable cloud networks. Services in the cloud computing networks may be virtualized with specific servers which host abstracted details. Some of the servers are active and available, while others are busy or heavy loaded, and the remaining are offline for various reasons. Users would expect the right and available servers to complete their application requirements. Therefore, in order to provide an effective control scheme with parameter guidance for cloud resource services, failure detection is essential to meet users' service expectations. It can resolve possible performance bottlenecks in providing the virtual service for the cloud computing networks. Most existing Failure Detector (FD) schemes do not automatically adjust their detection service parameters for the dynamic network conditions, thus they couldn't be used for actual application. This paper explores FD properties with relation to the actual and automatic fault-tolerant cloud computing networks, and find a general non-manual analysis method to self-tune the corresponding parameters to satisfy user requirements. Based on this general automatic method, we propose specific and dynamic Self-tuning Failure Detector, called SFD, as a major breakthrough in the existing schemes. We carry out actual and extensive experiments to compare the quality of service performance between the SFD and several other existing FDs. Our experimental results demonstrate that our scheme can automatically adjust SFD control parameters to obtain corresponding services and satisfy user requirements, while maintaining good performance. Such an SFD can be extensively applied to industrial and commercial usage, and it can also significantly benefit the cloud computing networks.
Starting Page	668
Ending Page	679
File Size	3763387
Page Count	12
File Format	PDF
ISBN	9781467309752
ISSN	15302075
DOI	10.1109/IPDPS.2012.126
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Cloud computing Heart beat Computational modeling Computer crashes Education Delay Self-tuning failure detection Application requirements Cloud computing service Fault tolerance
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

Implementation and performance evaluation of an adaptable failure detector

A fault-tolerant failure adaptively detection scheme in cloud networks

Performance Analysis of the Interrogation-based Failure Detector

Research and Improvement on Failure Detection Algorithm

A Dynamic Failure Detector for P2P Storage System

Improving the Quality of Service of Fault Detection in Distributed Platforms under Adverse Network Conditions

A Self-tuning Failure Detection Scheme for Cloud Computing Service (2012)

QoS of timeout-based self-tuned failure detectors: the effects of the communication delay predictor and the safety margin

Adaptive Failure Detection via Heartbeat under Hadoop

A Self-tuning Failure Detection Scheme for Cloud Computing Service

Similar Documents

Implementation and performance evaluation of an adaptable failure detector

A fault-tolerant failure adaptively detection scheme in cloud networks

Performance Analysis of the Interrogation-based Failure Detector

Research and Improvement on Failure Detection Algorithm

A Dynamic Failure Detector for P2P Storage System

Improving the Quality of Service of Fault Detection in Distributed Platforms under Adverse Network Conditions

A Self-tuning Failure Detection Scheme for Cloud Computing Service (2012)

QoS of timeout-based self-tuned failure detectors: the effects of the communication delay predictor and the safety margin

Adaptive Failure Detection via Heartbeat under Hadoop

A Self-tuning Failure Detection Scheme for Cloud Computing Service