Skip to main content

Trusted Execution Environment Distributed Provisioning Protocol
draft-yang-teep-tee-dp-00

Document Type Replaced Internet-Draft (individual)
Expired & archived
Authors Penglin Yang , Ting Pang , Xiaomeng Zhang
Last updated 2023-04-02
Replaced by draft-yang-teep-tee-dpr
RFC stream (None)
Intended RFC status (None)
Formats
Stream Stream state (No stream defined)
Consensus boilerplate Unknown
RFC Editor Note (None)
IESG IESG state Replaced by draft-yang-teep-tee-dpr
Telechat date (None)
Responsible AD (None)
Send notices to (None)

This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:

Abstract

In big data area, computing resource manager like MESOS[MESOS], YARM[YARN], kubernets[Kubernetes] or computing framework like Spark[Spark], use Master-Worker structure to split computing task. In the master component, the computing task will be splited into different child tasks. Each of thess child tasks will be loaded to a executor which is managed by Worker. The Master and Worker are usually exist as cluster, cloud or other distributed framework. When the big data tasks needs to be processed in TEE in lifecycle, this document could be used for Master to provision child tasks in distributed TEEs.

Authors

Penglin Yang
Ting Pang
Xiaomeng Zhang

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)