Comparing HAProxy Scheduling Algorithms During the DDoS Attacks

Anmol Kumar;Gaurav Somani;Mayank Agarwal
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Abstract

Web-services have become most common IT enablers today. Cyber attacks such as the distributed denial of service (DDoS) attacks pose availability concerns which may result into service outages and consequently financial and reputation losses. Load balancing software such as HAProxy (high availability proxy) is an important building block of the Web service delivery today. Load balancing software provides incoming request distribution among Web-servers and admission control which may even help with combating DDoS attacks. In this letter, we study and explore the performance of different load distribution or scheduling strategies in the presence of DDoS attacks. With the help of attack experiments, we find that First, HDR, Source, and URI scheduling algorithms performs best for both static and Poisson arrivals.
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比较 DDoS 攻击期间的 HAProxy 调度算法
网络服务已成为当今最常见的 IT 手段。分布式拒绝服务(DDoS)攻击等网络攻击带来了可用性问题,可能导致服务中断,进而造成经济和声誉损失。负载平衡软件,如 HAProxy(高可用性代理),是当今网络服务交付的重要组成部分。负载均衡软件可在网络服务器之间分配接收到的请求,并进行接纳控制,甚至可帮助打击 DDoS 攻击。在这封信中,我们研究并探讨了在 DDoS 攻击情况下不同负载分配或调度策略的性能。在攻击实验的帮助下,我们发现 First、HDR、Source 和 URI 调度算法在静态和泊松到达情况下都表现最佳。
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Table of Contents IEEE Networking Letters Author Guidelines IEEE COMMUNICATIONS SOCIETY IEEE Communications Society Optimal Classifier for an ML-Assisted Resource Allocation in Wireless Communications
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