Internet DRAFT - draft-ds-overview
draft-ds-overview
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 definition, concept, and use-cases
draft-ds-overview-00
Abstract
The standard defines terminologies and describes ecosystem for data
providing service. In order to build unified data environment from the
dispersed data, data providing service is necessary for big data
service. Therefore, this standard contributes to form common data
providing ecosystem.
Status of This Memo
This Internet-Draft is submitted in full conformance with the
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This Internet-Draft will expire on August 16, 2017.
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Table of Contents
1. Introduction -------------------------------------------------
2. Terminologies ------------------------------------------------
3. Abbreviation -------------------------------------------------
4. Overview of data providing service ---------------------------
4.1. Concept of data providing service ------------------
4.2. Definition of data providing service ---------------
4.3. Model of data providing service --------------------
4.4. Role classification of data providing service ------
5. Use-cases of data providing service --------------------------
1. Introduction
This standard proposes concept, definition, and use-case of data
providing service for big data service. First, the scope and
definition of data providing service are described. Second, ecosystem
model and role classification are illustrated. Finally, use-cases for
explaining data providing service are proposed.
2. Terminologies
2.1 Data generator
The data generator generates data, provides metadata to data broker,
and provides API to the data refiner to access data.
2.2 Data broker
The data broker brokerages data between the data generator and the
data customer.
2.3 Data refiner
The data refiner refines data, which is from the data generator, and
delivers data to the data customer.
2.4 Data customer
The data customer uses data, which is provided by the data providing
service.
3. Abbreviation
To be defined
4. Overview of data providing service
4.1. Concept of data providing service
Data is dispersed in different administration domain. For this reason,
it is hard to search data in big data area, which highly needs data.
This situation decreases the data availability. In order to increase
the data availability, an interface is needed to brokerage data in
different administartion domain and to search data in single access
point. For example, a user finds data which is in different
administration domain, while it is still hard to use the data. That is
because data type and access methods are different. A data customer
uses different methods to access data, and also the data may have
different type, so that a data customer does extra works, such as
converting, filtering. Thus, an interface is required to refine data
in various administration domain in order to provide the customized
data. Above all, this standard to build unified interface for
searching and requesting data is required.
4.2. Definition of data providing service
The data providing service is a service to brokerage metadata in order
to search data in a unified interface and to refine data in order to
provide user customized data as user's request. For this, the data
providing service brokerages metadata, which is provided by the data
generator. A data customer searches data by the data providing service
easily. And also, as user's request, the data refiner refines and
provides data to data customer.
4.3. Model of data providing service
This is a concept model. The concept model is described by roles
related with the data providing service, such as data generator, data
broker, data refiner, data customer.
-----------------
| Data Providing |
| Service |
data | --------------- | data catalogue
---------->|| Data Broker ||-------------
| info | --------------- | |
| | user | ^ |<---------- |
| | req- | | user | | |
-------------- | est | |custo-| -----------------
| Data | | | |mized | | Data |
| Generator | | | | data | | user |
-------------- | v | | -----------------
| ^ ^ | data | --------------- | ^ | | ^
| | | -------->|| Data Refiner || data | | | |
| | | data | --------------- |------ | | |
| | ---------- | | data | | |
| | request | |<-------- | |
| | ----------------- request(by API)| |
| ------------------------------------------------ |
| data request (by API) |
-----------------------------------------------------
data
4.4. Role classification of data providing service
To be defined
5. Use-cases of data providing service
To be defined
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.ir.kr
