Name
Abstract | ||
|---|---|---|
Telecom providers struggle with low service flexibility, increasing complexity and related costs. Although "cloud" has been an active field of research, there is currently little integration between the vast networking assets and data centres of telecom providers. UNIFY considers the entire network, from home networks up to data centre, as a "unified production environment" supporting virtualization, programmability and automation and guarantee a high level of agility for network operations and for deploying new, secure and quality services, seamlessly instantiatable across the entire infrastructure. UNIFY focuses on the required enablers and will develop an automated, dynamic service creation platform, leveraging fine-granular service chaining. A service abstraction model and a proper service creation language and a global orchestrator, with novel optimization algorithms, will enable the automatic optimal placement of networking, computing and storage components across the infrastructure. New management technologies based on experience from DCs, called Service Provider DevOps, will be developed and integrated into the orchestration architecture to cope with the dynamicity of services. The applicability of a universal node based on commodity hardware will be evaluated in order to support both network functions and traditional data centre workloads, with an investigation of the need of hardware acceleration. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/UCC.2013.89 | UCC |
Keywords | Field | DocType |
quality service,fine-granular service chaining,data centre,service abstraction model,proper service creation language,network function,carrier network,home network,dynamic service creation platform,eu fp7 project unify,entire network,low service flexibility,unifying cloud,production,optimization,virtualization,hardware,telecommunications,programming | Virtualization,Service design,Service abstraction,Computer science,Service provider,Orchestration (computing),Data as a service,Service delivery framework,Distributed computing,Cloud computing | Conference |
Citations | PageRank | References |
18 | 2.36 | 7 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| András Császár | 1 | 92 | 11.32 |
| Wolfgang John | 2 | 18 | 2.36 |
| Mario Kind | 3 | 272 | 23.68 |
| Catalin Meirosu | 4 | 178 | 22.64 |
| Gergely Pongrácz | 5 | 68 | 16.25 |
| Dimitri Staessens | 6 | 317 | 28.80 |
| Attila Takács | 7 | 67 | 12.52 |
| F.-Joachim Westphal | 8 | 109 | 10.85 |