Ramtin Aryan

• Aryan, Ramtin; Yazidi, Anis; Brattensborg, Frode Henriksen; Kure, Øivind & Engelstad, Paal E. (2022). SDN Spotlight: A real-time OpenFlow troubleshooting framework. Future Generation Computer Systems. ISSN 0167-739X. 133, s. 364–377. doi: 10.1016/j.future.2022.03.014. Fulltekst i vitenarkiv Vis sammendrag

  Troubleshooting in SDN-based networks is still a cumbersome task that can overwhelm human attention. Various anomalies, such as installation failure, disordered rules, and loops, remain unnoticed even when the most recent detection methods are used. In this paper, we address the issue of verifying SDN policies by actively probing the data plane. SDN Spotlight is presented as an anomaly detection framework that tries to detect installation failures, rule conflicts, and loops. In contrast to recent work, such as Monocle and Pronto, SDN Spotlight verifies a chain of rules using a single probing packet. This approach also reduces the number of monitoring rules, which has a direct effect on saving TCAM memory usage and minimizing the packet matching time. SDN Spotlight addresses two problems: verifying rule installation and forwarding behavior verification. Within the SDN Spotlight framework, we introduce two different approaches for forwarding anomaly detection: Hedge-SDN Spotlight and Open-SDN Spotlight. Furthermore, we devise an efficient and fast probe generation algorithm that generates one single probing packet per chain of rules. As opposed to other related work, Hedge-SDN Spotlight does not yield false positives and false negatives when detecting loops and forwarding failures. The results of the experiment demonstrate that SDN Spotlight is much faster than the SDNProbe and SDN traceroute method, in some cases by a factor of up to seven times as fast.

• Aryan, Ramtin; Yazidi, Anis; Bouhoula, Adel & Engelstad, Paal E. (2020). Net Auto-Solver: A formal approach for automatic resolution of OpenFlow anomalies . Conference on Local Computer Networks. ISSN 0742-1303. doi: 10.1109/LCN48667.2020.9314851. Fulltekst i vitenarkiv
• Aryan, Ramtin; Yazidi, Anis; Kure, Øivind & Engelstad, Paal E. (2020). A parallel approach for detecting OpenFlow rule anomalies based on a general formalism. Concurrency and Computation. ISSN 1532-0626. doi: 10.1002/cpe.5907. Fulltekst i vitenarkiv Vis sammendrag

  As the policies of a software-defined networking (SDN) network can be updateddynamically and often at a high pace, conflicts between policies can easily occur. Dueto the large number of switches and heterogeneous policies within a typical SDN net-work, detecting those conflicts is a laborious and challenging task. This article presentsthree main contributions. First, we devise an offline method for detecting unmatchedOpenFlow rules, that is, rules that are never fired. In our taxonomy such anomaliescan stem from either invalid or irrelevant unmatched rules. Second, we introduce anew set of definitions for the intraanomalies between rules in the same table, whichmight occur when using the multiaction feature of an OpenFlow rule. Third, our detec-tion method has been enhanced to support parallel execution, which makes it a viablesolution for troubleshooting large-scale networks. We provide some comprehensiveexperimental results based on both synthetic and real-life setup the synthetic set upis designed in such a way that the rule matching takes place in the last rules of theswitch and thus putting more stress on the rule detection process. The parallel methodis shown to outperform the single-threaded checking method by order of magnitudeup to 21.

• Aryan, Ramtin; Brattensborg, Frode Henriksen; Yazidi, Anis & Engelstad, Paal (2019). Checking the OpenFlow Rule Installation and Operational Verification. I Andersson, Karl; Tan, Hwee-Pink & Oteafy, Sharief (Red.), 44th Annual IEEE Conference on Local Computer Networks (LCN 2019). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-7281-1028-8. s. 250–253. doi: https:/doi.org/10.1109/LCN44214.2019.8990808.
• Aryan, Ramtin; Yazidi, Anis & Engelstad, Paal E. (2018). An Incremental Approach for Swift OpenFlow Anomaly Detection . Conference on Local Computer Networks. ISSN 0742-1303. doi: 10.1109/LCN.2018.8638226. Fulltekst i vitenarkiv
• Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E. & Kure, Øivind (2017). A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. I Jens, Tölle (Red.), 42nd IEEE Conference on Local Computer Networks. IEEE conference proceedings. ISSN 978-1-5090-6523-3. s. 426–434. doi: 10.1109/LCN.2017.94. Fulltekst i vitenarkiv

Se alle arbeider i Cristin

• Aryan, Ramtin; Brattensborg, Frode; Yazidi, Anis & Engelstad, Paal E. (2019). Checking the OpenFlow Rule Installation and Operational Verification.
• Aryan, Ramtin; Yazidi, Anis & Engelstad, Paal E. (2018). An Incremental Approach for Swift OpenFlow Anomaly Detection .
• Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E. & Kure, Øivind (2017). A General Formalism for Defining and Detecting OpenFlow Rule Anomalies.

Se alle arbeider i Cristin