OpenMind PipelineDP

Attributes	Description	Informational
Type	New
Industry Sector	Data Centers and Data Warehouses of Hospitals, Govs, Teleco and Schools
Business driver	Differentially private data aggregation framework, pipelineDP, enables write fast, flexible pipelines that use modern techniques to aggregate user data in a privacy-preserving manner. PipelineDP is a framework for applying differentially private aggregations to large datasets using batch processing systems such as Apache Spark, Apache Beam, and more. To make differential privacy accessible to non-experts, PipelineDP: Provides a convenient API familiar to Spark or Beam developers. Encapsulates the complexities of differential privacy, such as: protecting outliers and rare categories, generating safe noise, privacy budget accounting. Supports many standard computations, such as count, sum, and average.
Business use cases	1.Schools do machine learning on differentially private data aggregation infrastructure for confidential student information. 2. Hospitals do machine learning on differentially private data aggregation infrastructure for confidential patient information. 3.Gov do machine learning on differentially private data aggregation infrastructure for confidential wage information. 4.Telco do machine learning on differentially private data aggregation infrastructure for confidential consumer text msg and phone call records information.
Business Cost - Initial Build Cost Target Objective	Edge Cloud should be deployable with more than 3 servers in a single rack at a low cost.
Business Cost – Target Operational Objective	execute this framework on top of disaggregated datasets in Data Centers and Data Warehouses requires little cost. In-place upgrade of the Data Centers and Data Warehouse should be supported without impacting the availability of the edge applications The automation should also support zero touch provisioning and management tools to keep operational cost lower
Security need	The solution should have granular access control and should support periodic scanning.
Regulations	The Edge cloud solution should meet all the industry regulations of data privacy and telco standards (NEBS).
Other restrictions	Consider the power restrictions of specific location in the design (example - Customer premise, where data are stored in School's internal servers)
Additional details	The Edge Cloud Solution should be deployable across the globe and should be able to support more than 10,000 locations.	Use case submitters can include SQL queries get/set.

2. If the proposal includes a new Blueprint Family include a completed Blueprint Family template specific to the new Family.

Case Attributes	Description	Informational
Type	New or Modification to an existing submission
Blueprint Family - Proposed Name	Examples Only: Network Cloud Family
Use Case	Examples Only: Network Cloud
Blueprint proposed	Examples Only: Central Office deployments • Unicycle • Tricycle • Cruzer Customer Premise deployments • Rover
Initial POD Cost (capex)	Examples Only: • Rover less than $20k • Unicycle less than $150k • Tricycle less than $300k • Cruzer less than $800k
Scale	Examples Only: • Rover - 1 server • Unicycle - 1 rack • Tricycle - 3 racks • Cruzer - 6 racks
Applications	Examples Only: Any type of Edge Virtual Network Functions
Power Restrictions	Example Only: • Cruzer - less than 50k watts
Preferred Infrastructure orchestration	Examples Only: OpenStack - VM orchestration Docker/K8 - Container Orchestration OS - Linux VNF Orchestration - ONAP Under Cloud Orchestration – Airship
Additional Details	Submitter to provide additional use case details

3, If the proposal includes a new Blueprint Species addition to an existing or new Blueprint Family include a completed Blueprint Species template specific to each Blueprint Species being submitted.

Case Attributes	Description	Informational
Type	New or Modification to an existing submission
Blueprint Family - Proposed Name	Examples Only: Network Cloud Family
Use Case	Examples Only: Network Cloud
Blueprint proposed Name	Examples Only: Unicycle A
Initial POD Cost (capex)	Examples Only: • Unicycle less than $150k
Scale & Type	Examples Only: • Up to 7 servers • x86/ARM server or deep edge class
Applications	Examples Only: 5G Core or vRAN (RIC)
Power Restrictions	Example Only: • Less than 10Kw
Infrastructure orchestration	Examples Only: OpenStack Pike or above - VM orchestration Docker 1.13.1 or above / K8 1.10.2 or above- Container Orchestration OS - Ubuntu 16.x VNF Orchestration - ONAP Beijing Under Cloud Orchestration - Airship v1.0
SDN	Examples Only: SR-IOV & OVS-DPDK or VPP-DPDK
Workload Type	Examples Only: VMs and Containers
Additional Details	Submitter to provide additional use case details

If the proposal is to add a new Family to support an existing Use Case please identify the proposed Use Case.

If the proposal is to add a new Species to an existing Family please identify the proposed Family.

In addition add any other material needed to describe the proposal which is needed for the TSC assessment should be referenced or placed in the proposal's page(s).

Instruction to add a new page for each submission is below.

Step 1:

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Step 3: