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  • mdbc: The most crucial recipe is a multi-site database cache (mdbc) that enable ONAP components that maintain state in a SQLdatabase to avail the benefits of MUSIC without compromising their need to use transactional SQL DBs. These ONAP components can rely on existing db clustering techniques like MariaDB for transactionality and complex querying within a site. mdbc will intercept each of these read/write calls to the db cluster and mirror this state to other geo-distributed sites through MUSIC either synchronously or asynchronously (configurable at a table-level).  For example, components like the ONAP Service Orchestrator that use MariaDB to maintain state can directly use this recipe with no change to their SQL code.

  • prom:  MUSIC provides a recipe for policy-driven ownership management (prom) of state for ONAP components to (1) partition state across replicas during both initial placement and during failures based on their individual policies (2) ensure correct transfer of state ownership across replicas during site failures and network partitions (3) ensure that the new owner has access to the most recent version of state (if needed).

  • musicCAS: The distributed compare and set is a powerful primitive that will allow ONAP components to update shared state in  an atomic manner. This is currently being used by the ONAP HAS (homing service) that is structured a job scheduler with multiple workers trying to pick up client-submitted  jobs, while ensuring that only one of them actually performs the job.

  • musicQ: Implementing a geo-distributed queue is a hard problem with many performance implications when data belonging to a queue is sharded across nodes. MUSIC provides a queue API that carefully structures the data to ensure good performance. ONAP HAS (mentioned above) uses this as its job queue.

Scope:

MUSIC is a shared service with recipes that individual ONAP components and micro-service can use for state replication, consistency management and state ownership across geo-management. While its intended granularity is at the ONAP component level, it will work well even for micro-services. For distributed sites. MUSIC will make sure that the right service data is available at the right place, and at the right time to enable federated active-active operation of ONAP. For example, we envisage the use of MUSIC for multi-site state management in SO (to store Camunda state across sites), <SDN-C, AppC> (to store ODL related state across sites) , A&AI (to store its graph data) and most other ONAP components that need to manage state across sites. 

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While MUSIC is an optional solution for state-management of ONAP components across sites,  OOM will continue to manage component level and platform level deployment, scalability, redundancy, resiliency, self-healing and high availability on top of Kubernetes across sites for ONAP. 


Usage:

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The figures below how MUSIC can be used in a general context and also provide a  specific example of its potential usage in ONAP MSOSO.

A specific example:





Seed Code Status:

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Facts

Info

PTL (first and last name)

Bharath Balasubramanian

Jira Project Name

Music

Jira Key

MUSIC

Project ID

music

Link to Wiki Space

MUSIC Project

Release Components Name:

Note: refer to existing project for details on how to fill out this table

Components Name

Components Repository name

Maven Group ID

Components Description

music

music

org.onap.music

This repo contains the code for a multi-site coordination service (MUSIC) and associated recipes that enables efficient, highly available state-management across geo-redundant sites.

Resources committed to the Release:

Note 1: No more than 5 committers per project. Balance the committers list and avoid members representing only one company.

Note 2: It is critical to complete all the information requested, that will help to fast forward the onboarding process.



bptschaenctschaen@attMiddletown

Role

First Name Last Name

Linux Foundation ID

Email Address

Location

PTL

Bharath Balasubramanian

bharathb

bharathb@research.att.com

Bedminster, NJ, USA

CommittersBrendan Tschaen






Bharath Balasubramanianbharathbbharathb@research.att.comBedminster, NJ, USA

Viswanath

Kumar Skand Priya

kspviswa-vz

viswanath.kumarskandpriya@verizon.com

Chennai, India


Thomas Nelson Jr.arthurdent3tn1381@att.comBedminster, NJ, USA

Greg WainesgwainesGreg.Waines@windriver.com

Contributors






Srinivasa R Addepalli
srinivasa.r.addepalli@intel.com

Gil Hellman



gil.hellmann@windriver.com



Manoj Nair
manoj.k.nair@netcracker.com




Abbas Fazal
afazal@research.att.com

Bedminster, NJ, USA