Event Details

Please note: All times listed below are in Central Time Zone


How can placement help you achieve advanced instance scheduling by integrate with different services

Placement service has been introduced since Newton release, and has been rapidly evoluted for the past few cycles. Placement has been proved to be a efficient solution for scheduling instances in large scale deplyemnt. With the help of placement services, users and opertors will be also able to perform more advanced instance scheduling process that are yet unable to achieve. In this topic we will introduce the basic data model that are used in placement and how it has been used in the latest openstack release that helped users to achieve advanced scheduling such as bandwidth aware scheduling(intergration with Neutron), volume type based scheduling(intergration with Cinder), etc.

We will also cover how new projects like Cyborg can integrate with Core projects like Nova to achieve their goal in a decoupled way.


What can I expect to learn?

The attendees will be able to learn, how placement can help you achieve advanced scheduling process, such as:

1. How resources are modeled in placement and why is it efficient;

2. How Nova-Neutron achieve bandwidth aware scheduling with the help of placement;

3. How Nova-Cinder achieved volume-type aware scheduling with the help of placement;

4. How new projects like Cyborg can integrate with old projects like Nova with the help of placement.

Thursday, November 15, 9:00am-9:40am (8:00am - 8:40am UTC)
Difficulty Level: Intermediate
Huawei Technologies Co. Ltd
Zhenyu Zheng joined Huawei Technologies Co., Ltd since Jan. 2015. He is one of the developer in OpenStack development team at Huawei, works full-time in OpenStack Community, focuses on Nova, Searchlight. Searchlight Core Reviewer since Ocata. FULL PROFILE
Huawei Software Engineer
Yikun Jiang is senior software engineer from Huawei opensource development team, Apache Spark Committer, volcano reviewer, working on multi-arch support and improvement of projects in cloud computing and bigdata area. He has six years experience in cloud computing and bigdata optimization. Previously, he was the committer of OpenStack storage project.  FULL PROFILE