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This Internet-Draft is no longer active.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.)