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Kyriakos Zarifis

Researcher at University of Southern California

Publications -  16
Citations -  456

Kyriakos Zarifis is an academic researcher from University of Southern California. The author has contributed to research in topics: Troubleshooting & The Internet. The author has an hindex of 10, co-authored 14 publications receiving 439 citations. Previous affiliations of Kyriakos Zarifis include International Computer Science Institute & Institute of Company Secretaries of India.

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Proceedings ArticleDOI

Leveraging SDN layering to systematically troubleshoot networks

TL;DR: This position paper advocates a more structured troubleshooting approach that leverages architectural layering in Software-Defined Networks (SDNs), and shows how recently-developed troubleshooting tools fit into a coherent workflow that detects mistranslations between layers to precisely localize sources of errant control logic.
Proceedings ArticleDOI

Troubleshooting blackbox SDN control software with minimal causal sequences

TL;DR: This paper presents a technique for automatically identifying a minimal sequence of inputs responsible for triggering a given bug, without making assumptions about the language or instrumentation of the software under test.
Proceedings ArticleDOI

PEERING: An AS for Us

TL;DR: This paper proposes a new class of interdomain research: researchers can instantiate an AS of their choice, including its intradomain topology and interdomain interconnectivity, and connect it with the "live" Internet to exchange routes and traffic with real interdomain neighbors.
Proceedings ArticleDOI

Ripcord: a modular platform for data center networking

TL;DR: The Ripcord demo will show three examples of custom network functions, operating together, on top of a 160-node cluster, with a visualization of live parameters for each link and switch, such as bandwidth, drops, and power status, as well a control panel to modify the traffic load.
Book ChapterDOI

Diagnosing Path Inflation of Mobile Client Traffic

TL;DR: This work identifies the key elements that can affect the Internet routes taken by traffic from mobile users (client location, server locations, carrier topology, carrier/content-provider peering), and develops a methodology to diagnose the specific cause for inflated routes.