NDLI: Lightweight and Informative Traffic Metrics for Data Center Monitoring

Content Provider	Springer Nature Link
Author	Xu, Kuai Wang, Feng Wang, Haiyan
Copyright Year	2011
Abstract	In recent years, thousands of commodity servers have been deployed in Internet data centers to run large scale Internet applications or cloud computing services. Given the sheer volume of data communications between servers and millions of end users, it becomes a daunting task to continuously monitor the availability, performance and security of data centers in real-time operational environments. In this paper, we propose and evaluate a lightweight and informative traffic metric, streaming frequency, for network monitoring in Internet data centers. The power-series based metric that is extracted from the aggregated IP traffic streams, not only carries temporal characteristics of data center servers, but also helps uncover traffic patterns of these servers. We show the convergence and reconstructability properties of this metric through theoretical proof and algorithm analysis. Using real data-sets collected from multiple data centers of a large Internet content provider, we demonstrate its applications in detecting unwanted traffic towards data center servers. To the best of our knowledge, this paper is the first to introduce a streaming metric with a unique reconstruction capability that could aid data center operators in network management and security monitoring.
Starting Page	226
Ending Page	243
Page Count	18
File Format	PDF
ISSN	10647570
Journal	Journal of Network and Systems Management
Volume Number	20
Issue Number	2
e-ISSN	15737705
Language	English
Publisher	Springer US
Publisher Date	2011-05-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cloud computing Data center traffic Streaming frequency Unwanted traffic Computer Systems Organization and Communication Networks Information Systems and Communication Service Operations Research/Decision Theory Computer Communication Networks Communications Engineering, Networks
Content Type	Text
Resource Type	Article
Subject	Strategy and Management Computer Networks and Communications Information Systems Hardware and Architecture

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