Improving the Load Balancing Performance of Reliable Server Pooling in Heterogeneous Capacity Environments

Zhou, Xing; Dreibholz, Thomas; Rathgeb, Erwin P.

doi:10.1007/978-3-540-76809-8_12

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…Based on this model, the load balancing quality of different pool policies has been evaluated [3]- [5], [14], [22], [32].…”

Section: B Application Scenarios For Rserpoolmentioning

confidence: 99%

“…While there have already been a number of publications on the performance of RSerPool for load balancing [3]- [5] and server failure handling [6], there has been very little research on security and robustness. Until now, only some simple thresholds to avoid flooding the pool management with misinformation have been analysed in [7].…”

Section: Introduction and Scopementioning

confidence: 98%

See 1 more Smart Citation

On the application of anomaly detection in Reliable Server Pooling systems for improved robustness against denial of service attacks

Schöttle

Dreibholz

Rathgeb

2008

2008 33rd IEEE Conference on Local Computer Networks (LCN)

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The Reliable Server Pooling (RSerPool) architecture is the IETF's upcoming standard of a lightweight server redundancy and session failover framework for availability-critical applications. RSerPool combines the ideas from different research areas into a single, resourceefficient and unified architecture. Although there have already been a number of research papers on the pool management, load distribution and failover handling performance of RSerPool, the robustness against intentional attacks has not been intensively addressed yet.Therefore, the first goal of this paper is to provide a robustness analysis in order to outline the attack bandwidth necessary for a significant impact on RSerPool-based services. After that, we present our anomaly detection approach that has been designed to protect RSerPool systems against attacks. We also show the effectiveness of this approach by simulations. 1

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“…Based on this model, the load balancing quality of different pool policies has been evaluated [3]- [5], [14], [22], [32].…”

Section: B Application Scenarios For Rserpoolmentioning

confidence: 99%

Section: Introduction and Scopementioning

confidence: 98%

On the application of anomaly detection in Reliable Server Pooling systems for improved robustness against denial of service attacks

Schöttle

Dreibholz

Rathgeb

2008

2008 33rd IEEE Conference on Local Computer Networks (LCN)

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show abstract

“…Efficiently handling server redundancy requires load distribution and load balancing [18], which are also covered by RSerPool [7,8,16,[28][29][30]. Two classes of load distribution algorithms [18] are supported by RSerPool: non-adaptive and adaptive algorithms.…”

Section: Introduction and Scopementioning

confidence: 99%

A New Server Selection Strategy for Reliable Server Pooling in Widely Distributed Environments

Zhou

Dreibholz

Rathgeb

2008

Second International Conference on the Digital Society

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In order to provide a generic, applicationindependent and resource-efficient framework for server redundancy and session failover, the IETF RSerPool WG is currently standardizing the Reliable Server Pooling (RSerPool) framework. Server redundancy has to take load distribution and load balancing into consideration since these issues are crucial for the system performance.There has already been some research on the server selection strategies of RSerPool for different application scenarios. In particular, it has been shown that the adaptive Least Used selection usually provides the best performance. This strategy requires up-to-date load information of the services, which has to be propagated among distributed pool management components. But network delay (which is realistic for systems being widely distributed to achieve availability in case of regional servers failures) as well as caching of information may both lead to obsolete load information. Therefore, the purpose of this paper is to analyse and evaluate the performance of a new server selection rule to cope with update latencies. Especially, we will also analyse the impact of different workload parameters on the performance of the new server selection strategy.

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Evaluation of Attack Countermeasures to Improve the DoS Robustness of RSerPool Systems by Simulations and Measurements

Zhou

Dreibholz

Wei

et al. 2009

Kommunikation in Verteilten Systemen (KiVS)

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Improving the Load Balancing Performance of Reliable Server Pooling in Heterogeneous Capacity Environments

Cited by 7 publications

References 18 publications

On the application of anomaly detection in Reliable Server Pooling systems for improved robustness against denial of service attacks

On the application of anomaly detection in Reliable Server Pooling systems for improved robustness against denial of service attacks

A New Server Selection Strategy for Reliable Server Pooling in Widely Distributed Environments

Evaluation of Attack Countermeasures to Improve the DoS Robustness of RSerPool Systems by Simulations and Measurements

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