Date: Fri, 29 Mar 2024 16:48:42 +0100 (CET) Message-ID: <1023907042.7730.1711727322085@wiki01p.surfnet.nl> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_7729_1140127228.1711727322085" ------=_Part_7729_1140127228.1711727322085 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
= Organisation | UTwente |
---|---|
= Deliverable | Report / <= a href=3D"/download/attachments/11211095/UT-IMC2017-RoN-2017.pdf?version=3D= 1&modificationDate=3D1528362560954&api=3Dv2" data-linked-resource-i= d=3D"11211535" data-linked-resource-version=3D"1" data-linked-resource-type= =3D"attachment" data-linked-resource-default-alias=3D"UT-IMC2017-RoN-2017.p= df" data-nice-type=3D"PDF Document" data-linked-resource-content-type=3D"ap= plication/pdf" data-linked-resource-container-id=3D"11211095" data-linked-r= esource-container-version=3D"6">ACM IMC 2017 Paper / Master's Thesis, presentation at = RIPE/NANOG/TNC |
As part of the RoN 2016 project we implemented an anycast testbed (http://www.anycast-testbed.nl). This work was presented at the plena= ry session of RIPE 73. As of today, this testbed is operational and it cons= ists of 10 nodes worldwide =E2=80=93 with 2 other nodes in the process of b= eing deployed. We are now in the position to use the implemented testbed to= study topics related to anycast operations. One of the topics of interest = is the predictability of anycast =E2=80=9Dpreference choice=E2=80=9D, and h= ow choices are influenced by (BGP) route manipulation.
For RoN 2017, we will study the predictability of traffic patterns and any=
cast catchment (the routing of user to anycast site) even before an anycast=
site is deployed. To perform this study we will use traditional measuremen=
t tools, such as traceroute and RIPE Atlas, potentially combined with other=
data sources, such as BGP RIBs from RouteViews and RIPE RIS. We will also =
study how anycast catchments can be influenced by BGP route manipulation, s=
uch as route withdrawals or AS path prepending. We plan to provide insights=
into how much influence the operator of a given anycast network can have o=
n the catchment, without having to contact its upstream providers.
Concretely, we will try to answer the following questions:
=E2=80=A2 Given two network locations, what will the division of traffic b=
e if we deploy anycast instances there =E2=80=A2 How much can the catchment=
of an anycast network be influenced by AS Path prepending
=E2=80=A2 How can we apply this knowledge to optimize the resilience of an=
ycast networks for DDoS attacks
Data and Tools
To make it possible for external parties to repeat our experiments, to use=
our results or to use our tools, we strive to make as much of the data tha=
t we gather and the tools that we develop publicly available.