Internet DRAFT - draft-ds-functional-architecture

draft-ds-functional-architecture



Internet Engineering Task Force                             Eui-Nam Huh
Internet-Draft                                     Kyung Hee University
CDNI Working Group                                           Ga-Won Lee
Intended status: Informational                     Kyung Hee University
Expires: Aug 16, 2017                                        Yunkon Kim
                                                   Kyung Hee University
                                                            Jintaek Kim
                                 Consortium of Cloud Computing Research
                                                           Feb 15, 2017
 

     Data providing service requirements and functional architecture
                    draft-ds-functional-architecture-00


Abstract

   The standard describes concept and characteristics of data providing
   service. To derive functional architecture, requirements are described
   on the perspective of providing and using data.

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Table of Contents

1. Introduction------------------------------------------------------

2. Terms and Abbreviation--------------------------------------------

3. Data Providing Service Requirements-------------------------------
   3.1 Data Management Requirements----------------------------------
   3.2 Data Policy Management Requirements---------------------------
   3.3 Data Provision Requirements-----------------------------------

4. Data Providing Service Functional Architecture--------------------

5. References--------------------------------------------------------

1. Introduction
   Unstructured data is continuously increased from IoT devices such as
   smart phones, tablets, and wearable devices with mobile and social 
   network services (SNS). With increasing of unstructured data, Big 
   data services have been already appeared to drive the traditional
   process-oriented computing paradigm to data-centric computing
   paradigm. In data centric computing environment, Data Providing
   System might be realized by core technology. In this circumstance, 
   the importance of data providing has emerged. 
   In order to provide data, these various data need to be provisioned
   with low complexity and high availability. Provisioned data can be 
   provided to data users by user's requests. Moreover, the environment
   which data users can search data is necessary. This environment might 
   contribute to form a virtuous circle which shared data is used to   
   create new service. Therefore, this standard defines data providing 
   service requirements and functional architecture to support data 
   management and accessibility.

2. Terms and Abbreviation

   - DG : Data Generator
   - DB : Data Broker
   - DR : Data Refiner
   - DPS : Data Providing Service
   - DC : Data Customer


3. Data Providing Service Requirements

   Data providing service can be divided into 3 parts : data management,
   data policy management, and data provision. Requirements condition is
   as follows :
      - M : Mandatory
      - R : Recommended
      - O : Optional

3.1 Data Management Requirements
   In table 3-1, requirements of data generator(DG) and data broker(DB)
   is defined for data management.

              [Table 3-1] Data management Requirements
 ----------------------------------------------------------------------
|  Role   |                Requirements               |  Role  | M/R/O |
|(subject)|                                           |(object)|       | 
|---------|-------------------------------------------|--------|-------|
|   DG    | data management(generate, store, delete)  |        |   M   |
|---------|-------------------------------------------|--------|-------|
|   DG    | data information provisioning             |        |   M   |
|         |  (generate, publishing, API management)   |        |       |
|---------|-------------------------------------------|--------|-------|
|   DG    | semantic data information generation      |        |   M   |
|---------|-------------------------------------------|--------|-------|
|   DG    | data access and preserve history          |        |   M   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | data information provisioning             |        |       | 
|         | (collect, search, update, API management) |        |   M   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | collect of data information in            |        |       |
|         | heterogeneous management domain           |        |   M   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | brokage of data information in            |        |       |
|         | heterogeneous management domain           |        |   M   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | collect heterogeneous form (formal,       |        |       |
|         | non-formal, antiformal) data information  |        |   R   |
|---------|-------------------------------------------|--------|-------|
|   DG,   |                                           |        |       |
| DPS:DB  | real-time data update                     |        |   O   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | data information management using ontology|        |   O   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | user feedback management                  |        |   O   |
 ----------------------------------------------------------------------

3.2 Data Policy Management Requirements
   In table 3-2, requirements of data generator(DG) and data broker(DB)
   is defined for data policy management.

               [Table 3-2] Data Policy management Requirements
 ----------------------------------------------------------------------
|  Role   |                Requirements               |  Role  | M/R/O |
|(subject)|                                           |(object)|       | 
|---------|-------------------------------------------|--------|-------|
|   DG    | establishment of data and data publishing |        |       |
|         |  policy                                   |        |   M   |
|---------|-------------------------------------------|--------|-------|
|   DG    | establishment of data management policy   |        |   M   |
|---------|-------------------------------------------|--------|-------|
|   DG    | establishment of data information         |        |   M   |
| DPS:DB  | provisioning policy                       |        |       |
 ----------------------------------------------------------------------

3.3 Data Provision Requirements
   In table 3-3, requirements of data generator(DG), data broker(DB) and
   data refiner(DR) is defined for data management.

               [Table 3-3] Data management Requirements
 ----------------------------------------------------------------------
|  Role   |                Requirements               |  Role  | M/R/O |
|(subject)|                                           |(object)|       | 
|---------|-------------------------------------------|--------|-------|
|   DG    | data update pushing                       |DPS, DC |   O   |
|---------|-------------------------------------------|--------|-------|
|   DG    | provide data access and history           |DPS, DC |   R   |
|---------|-------------------------------------------|--------|-------|
|   DG    | provide data through APIs                 | DPS:DB |   O   |
| DPS:DB  |                                           |   DC   |       |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | provide data catalogue for data browsing  |   DC   |   M   |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | using standard protocol for data and data |        |   R   |
|         | information brokering (e.g., RESTful API) |        |       |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | provide user customized UI (e.g., most    |   DC   |   O   |
|         | often viewed data, recommendation, etc.)  |        |       |
|---------|-------------------------------------------|--------|-------|
| DPS:DB  | provide user feedback interface           |        |   O   |
|---------|-------------------------------------------|--------|-------|
| DPS:DR  | data process(Transforming, filtering, and |        |   M   |
|         | de-noising) according to user's request   |        |       |
|---------|-------------------------------------------|--------|-------|
| DPS:DR  | processing of heterogeneous form(formal,  |        |   R   |
|         |non-formal, antiformal) data information   |        |       |
|---------|-------------------------------------------|--------|-------|
| DPS:DR  | data integration  (combining, forming,    |        |   R   |
|         | coordinating, blending) according to      |        |       |
|         | user's request                            |        |       |
|---------|-------------------------------------------|--------|-------|
| DPS:DR  | refined data storing and preserving       |        |   O   |
 ----------------------------------------------------------------------

4. Data Providing Service Functional Architecture
   Based on role of data providing service, function of data generator,
   data broker, and data refiner is shown in table 4-1.
   Data generator manages original data, and provides meta-data
   management and provisioning of original data. Data broker provides
   catalogue of stored original data to user, and manages user data
   access. It is possible that refine data based on user's request as an
   option which provided by data refiner. Data policy management is
  'cross-cutting aspect', that is, common functionality of all data 
   providing service role.

               [Table 4-1] Data providing service function overview
 ----------------------------------------------------------------------
|       role of          |                    function                 |
| data providing service |                                             |
|------------------------|---------------------------------------------|
|     Data Generator     | - meta-data management                      |
|                        | - data management                           |
|                        | - meta-data policy management               |
|                        | - data policy management                    |
|------------------------|---------------------------------------------|
|           |            | - data brokering                            |
|           |    Data    | - meta-data management                      |
|           |   Broker   | - data access management                    |
|   Data    |            | - data access management                    |
| Providing |            | - data policy management                    |
|  Service  |------------|---------------------------------------------|
|           |    Data    | - data refining                             |
|           |   Refiner  | - data policy management                    |
 ----------------------------------------------------------------------

       [Figure 4-1] Data providing service functional architecture

 -------------------------------------
| Data Generator                      | 
|                                     |
|  ---------------------------------  |
| | Meta-data management            | |
| |                                 | |
| | -------------     ------------- | |
| ||  Generate   |   |    Store    || |
| | -------------     ------------- | |
| | ------------------------------- | |
| ||         Povisioning           || |
| || ------------     ------------ || |--------
| |||   Update   |   |    Search  ||| |        |
| || ------------     ------------ || |        |
| | ------------------------------- | |        |
|  ---------------------------------  |        |
|  ---------------------------------  |        |
| | Data management                 | |        |
| |                                 | |        |
| | ---------------   ------------- | |        |
| || Generate data | | Collect data|| |        |
| | ---------------   ------------- | |        |
| | ------------------------------- | |        |
| ||           Store data          || |        |
| | ------------------------------- | |        |
|  ---------------------------------  |        |
 -------------------------------------         |
                                               |
                                               |
                                               |
 -------------------------------------         |       ---------------
| Data Refiner                        |        |      |  Data Policy  |
|                                     |        |      |   Management  |
|  ---------------------------------  |        |      |               |
| | Data refining                   | |        |      |               |
| |                                 | |        |      | ------------- |
| | ------------------------------- | |        |      ||             ||
| || Heterogeneous data management || |        |      ||    Data &   ||
| || --------------   ------------ || |        |      ||  Meta-data  ||
| ||| transforming | | Filtering  ||| |        |      ||             ||
| || --------------   ------------ || |        |      ||   Search /  ||
| || ----------------------------- || |        |      ||   Publish / ||
| |||          De-noising          || |        |      ||   Access    ||
| || ------------------------------ | |        |      ||   policy    ||
| | ------------------------------- | |        |      ||  management ||
| |                                 | |        |      ||             ||
| | ------------------------------- | |--------|------| ------------- |
| ||      Refined data storing     || |        |      |               |
| | ------------------------------- | |        |      |               |
| |                                 | |        |      |               |
| | ------------------------------- | |        |       ---------------
| ||        Data integration       || |        |
| || -------------   ------------- || |        |
| |||  Combining  | |   Forming   ||| |        |
| || -------------   ------------- || |        |
| || --------------   ------------ || |        |
| ||| Coordinating | |  blending  ||| |        |
| || --------------   ------------ || |        |
| | ------------------------------- | |        |
|  ---------------------------------  |        |
 -------------------------------------         |
                                               |
                                               |
                                               |
                                               |
 -------------------------------------         |
| Data Broker                         |        |
|                                     |        |
|  ---------------------------------  |        |
| | Data brokering                  | |        |
| |                                 | |        |
| | ------------------------------- | |        |
| || Store history(search/browing) || |        |
| | ------------------------------- | |        |
| | ------------------------------- | |        |
| ||      Feedback management      || |        |
| || ----------   ---------------- || |        |
| |||  Quaring | | Result storing ||| |        |
| || ----------   ---------------- || |        |
| | ------------------------------- | |        |
| | ------------------------------- | |        |
| ||      Catalogue management     || |        |
| || ----------  --------  ------- || |        |
| ||| Generate || Browse || Search||| |        |
| || ----------  --------  ------- || |        |
| || --------------   ------------ || |        |
| |||    Publish   | |   Update   ||| |        |
| || --------------   ------------ || |        |
| | ------------------------------- | |        |
|  ---------------------------------  |        |
|                                     |        |
|  ---------------------------------  |--------
| | Meta-data management            | |
| |                                 | |
| | --------------     ------------ | |
| ||   Generate   |   |   Store    || |
| | --------------     ------------ | |
| | ------------------------------- | |
| ||          Provisioning         || |
| || --------  ---------  -------- || |
| ||| Update || Collect || Search ||| |
| || --------  ---------  -------- || |
| | ------------------------------- | |
|  ---------------------------------  |
|                                     |
|  ---------------------------------  |
| | Data access management          | |
| |                                 | |
| | ------------------------------- | |
| ||        API management         || |
| | ------------------------------- | |
| | ------------------------------- | |
| ||  Access authority management  || |
| | ------------------------------- | |
| | ------------------------------- | |
| ||  Access/use history storing   || |
| | ------------------------------- | |
|  ---------------------------------  |
 -------------------------------------


5. References

   [1] ITU-T Y.3600, Big data : Cloud computing based requirements and
       capabilities, 2015

Appendix A.  Acknowledgements

   This draft is supported by Institute for Information & communications 
   Technology Promotion(IITP) grant funded by the Korea government(MSIP)
   (R0127-16-1044, Cloud Storage Brokering Technology for Data-Centric
   Computing Standardization)

Authors' Addresses

Eui-Nam Huh 
Computer Science and Engineering Department, Kyung Hee University
Yongin, South Korea

Phone: +82 (0)31 201 3778
Email: johnhuh@khu.ac.kr

Ga-Won Lee
Computer Science and Engineering Department, Kyung Hee University 
Yongin, South Korea

Phone: +82 (0)31 201 2454
Email: gawon@khu.ac.kr

Yunkon Kim
Computer Science and Engineering Department, Kyung Hee University 
Yongin, South Korea

Phone: +82 (0)31 201 2454
Email: ykkim@khu.ac.kr

Jintaek Kim
Consortium of Cloud Computing Research, Seoul, South Korea

Phone: +82 (0)2 2052 0156
Email: jtkim@cccr.or.kr