DocumentCode
2312025
Title
Cooperative Monitoring for Internet Data Centers
Author
Xu, Kuai ; Wang, Feng
Author_Institution
Div. of Math. & Natural Sci., Arizona State Univ., Phoenix, AZ
fYear
2008
fDate
7-9 Dec. 2008
Firstpage
111
Lastpage
118
Abstract
Recent outages in several Web services have demonstrated the potential damage of availability disruptions, since millions of end users rely on these services powered by thousands of servers in large-scale Internet data centers. As Internet data centers continue to grow in scale and complexity, it has become a daunting task to monitor and manage thousands of servers simultaneously. This paper presents a cooperative monitoring framework to continuously monitor availability of thousands of servers in Internet data centers. We propose a simple yet effective algorithm for locating monitor nodes for the purposes of load balancing and resilience, and demonstrate the performance of this method through simulations based on dataset collected from a large Internet content provider. The results show that the monitoring load are well divided among the servers in the data centers, and cooperative monitoring adapts gracefully to the events of monitoring node failures.
Keywords
Web services; computer centres; resource allocation; system monitoring; Web services; availability disruptions; cooperative monitoring framework; large Internet content provider; large-scale Internet data centers; load balancing; monitoring node failures; Availability; Cloud computing; Condition monitoring; Large-scale systems; Load management; Peer to peer computing; Resilience; Web and internet services; Web server; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Performance, Computing and Communications Conference, 2008. IPCCC 2008. IEEE International
Conference_Location
Austin, Texas
ISSN
1097-2641
Print_ISBN
978-1-4244-3368-1
Electronic_ISBN
1097-2641
Type
conf
DOI
10.1109/PCCC.2008.4745129
Filename
4745129
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