Resumen
Traditional high performance computing (HPC) centers that operate a single large supercomputer cluster have not required sophisticated mechanisms to manage and enforce network policies. Recently, HPC centers have expanded to support a wide range of computational infrastructure, such as OpenStack-based private clouds and Ceph object stores, each with its own unique characteristics and network security requirements. Network security policies are becoming more complex and harder to manage. To address the challenge, this paper explores ways to define and manage the new network policies required by emerging HPC systems. As the first step, we identify the new types of policies that are required and the technical capabilities needed to support them. We present example policies and discuss ways to implement those policies using emerging programmable networks and intent-based networks. We describe our initial work toward automatically converting human readable network policies into network configurations and programmable network controllers that implement those policies using business rule management systems.
| Idioma original | English |
|---|---|
| Título de la publicación alojada | Proceedings of the Practice and Experience in Advanced Research Computing |
| Subtítulo de la publicación alojada | Rise of the Machines (Learning), PEARC 2019 |
| ISBN (versión digital) | 9781450372275 |
| DOI | |
| Estado | Published - jul 28 2019 |
| Evento | 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019 - Chicago, United States Duración: jul 28 2019 → ago 1 2019 |
Serie de la publicación
| Nombre | ACM International Conference Proceeding Series |
|---|
Conference
| Conference | 2019 Conference on Practice and Experience in Advanced Research Computing: Rise of the Machines (Learning), PEARC 2019 |
|---|---|
| País/Territorio | United States |
| Ciudad | Chicago |
| Período | 7/28/19 → 8/1/19 |
Nota bibliográfica
Publisher Copyright:© 2019 Association for Computing Machinery.
Financiación
This work was supported in part by the National Science Foundation under Grants ACI-1541380, ACI-1541426, and ACI-1642134.
| Financiadores | Número del financiador |
|---|---|
| National Science Foundation (NSF) | 1642134, ACI-1642134, ACI-1541426, ACI-1541380 |
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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