Question 17/13 - Requirements, ecosystem, and general capabilities for cloud computing and big data
(Continuation of Question 26/13)
Motivation
Cloud computing is a model for enabling service user's ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services), that can be rapidly provisioned and released with minimal management effort or service provider interaction. The cloud computing model is composed of five essential characteristics (on-demand, delivery over a broad network access, resource pooling, rapid elasticity, self and measured services), five cloud computing service categories, i.e., Software as a Service (SaaS), Communication as a Service (CaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS) and Network as a Service (NaaS), and different deployment models (public, private, hybrid…).
Cloud computing can support several other technologies like Big Data, IoT etc. Identification of the requirements for cloud computing to be able to effectively support other technologies is important element of work in this Question.
Big data is a category of technologies and services where the capabilities provided to collect, store, search, share, analyse and visualize data are characterized by volume, variety, and velocity. Big data related challenges cannot be covered by traditional data processing and analytics.
Telecommunication industry have an important role to play in the emerging cloud computing and big data ecosystems. The telecommunication network is a central element for multi-tenant cloud computing and big data architecture delivering services for customers with performance, QoS and optimal resource utilization.
The primary focus of this Question is to provide the necessary overall frameworks, definitions, and ecosystems including requirements and capabilities related to the integration and support of the cloud computing and big data model and technologies in telecommunication ecosystem. Also relationship between cloud computing and big data are developed. This Question is intended to develop new Recommendations for:
• cloud computing and big data definitions, overview, ecosystem, and use cases;
• cloud computing and big data high-level requirements, general capabilities;
• requirements for interoperability data portability and exchange information in cloud computing and big data;
• general and functional requirements for Desktop as a service (DaaS) including functional requirements and reference architecture;
• relationship between cloud computing and big data;
The following major Recommendations, in force at the time of approval of this Question, fall under its responsibility:
• Y.3500, Y.3501, Y.3503
Question
Study items to be considered include, but are not limited to:
- What new Recommendations should be developed for cloud computing and big data definitions, ecosystem, use cases, and capabilities from telecommunication perspectives?
- What new Recommendations should be developed for cloud computing and big data high-level requirements and general capabilities?
- What new Recommendations should be developed for requirements for cloud computing interoperability and data portability between cloud service providers that are appropriate and achievable for cloud use cases?
- What new Recommendations should be developed for big data, including Big Data as a Service?
- What collaboration is necessary to minimize duplication of efforts with other SDOs?
Tasks
Tasks include, but are not limited to:
- Developing Recommendations for cloud computing and big data definitions, overview, ecosystem, use cases, business roles and benefits from telecommunication perspectives
- Developing Recommendations for cloud computing and big data high-level requirements and general capabilities
- Developing Recommendations for cloud computing interoperability and data portability
- Developing Recommendations for Desktop as a Service (DaaS) requirements and architecture aspects.
- Developing Recommendations for cloud computing based big data, big data exchange framework
- Providing the necessary collaboration for the work in the ITU-T Q17/13 with relevant SDOs, consortia and fora.
- Maintenance and enhancement of the Recommendations for which the Question is responsible.
An up-to-date status of work under this Question is contained in the SG Q/13 Work Program (http://www.itu.int/ITU-T/workprog/wp_search.aspx?isn_sp=545&isn_sg=552&isn_wp=1721&isn_qu=1722&isn_status=-1,1,3&details=0&field=aebcgfkjl)
Relationships
Recommendations:
Questions:
Study Groups:
ITU-T Study Groups 5, 9, 11, 16 and 17, ITU-D Study Groups as appropriate
Standardization bodies:
ISO/IEC JTC 1/SC 38
ISO/IEC JTC 1 SC 32 and SC 27
ISO/IEC JTC 1 WG 9
National Institutes of Standards and Technology (NIST)
Global Inter-Cloud Technology Forum (GICTF)
Distributed Management Task Force (DMTF)
Cloud Security Alliance (CSA)
