Full metadata
Title
Comparing a commercial and an SDN-based load balancer in a campus network
Description
Commercial load balancers are often in use, and the production network at Arizona State University (ASU) is no exception. However, because the load balancer uses IP addresses, the solution does not apply to all applications. One such application is Rsyslog. This software processes syslog packets and stores them in files. The loss rate of incoming log packets is high due to the incoming rate of the data. The Rsyslog servers are overwhelmed by the continuous data stream. To solve this problem a software defined networking (SDN) based load balancer is designed to perform a transport-level load balancing over the incoming load to Rsyslog servers. In this solution the load is forwarded to one Rsyslog server at a time, according to one of a Round-Robin, Random, or Load-Based policy. This gives time to other servers to process the data they have received and prevent them from being overwhelmed. The evaluation of the proposed solution is conducted a physical testbed with the same data feed as the commercial solution. The results suggest that the SDN-based load balancer is competitive with the commercial load balancer. Replacing the software OpenFlow switch with a hardware switch is likely to further improve the results.
Date Created
2015
Contributors
- Ghaffarinejad, Ashkan (Author)
- Syrotiuk, Violet R. (Thesis advisor)
- Xue, Guoliang (Committee member)
- Huang, Dijiang (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
ix, 56 pages : illustrations (some color)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.30018
Statement of Responsibility
by Ashkan Ghaffarinejad
Description Source
Viewed on August 4, 2015
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2015
bibliography
Includes bibliographical references (pages 55-56)
Field of study: Computer science
System Created
- 2015-06-01 08:18:24
System Modified
- 2021-08-30 01:28:22
- 3 years 2 months ago
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