Nicola Ciulli Head of Research & Development Nextworks
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1 NetFutures 2015 / E1 concertation meeting Network Technologies / Optical networks Items for round table discussion Big Data, whenever it goes beyond the HPC (e.g. distributed HPC, Big Data based on fog-computing resources, etc.) and its needs towards optical networks Flexible optical DC fabrics enabling dynamic/real time data analytics Nicola Ciulli Head of Research & Development Nextworks
2 From the 1 st RETHINK big EET Madrid, Sept 2014 We need network awareness in big data platforms, and derive reference network architectures. Then, we need the Big Data layer to talk to the network layer and we need the network layer to behave accordingly (sdn, northbound interface, etc.) Large scale big data system defines a distributed, architecture for which the issues of power, cost and complexity require a rethinking of the system components in the terms of integration. Energy needed to transmit big volumes of data through the network should be taken into account Technology is missing to deal with real-time requirements of Big Data (from sensor to data center) We have to learn living with under-provisioned network as a normal working condition. This requires careful resource allocation, dynamic control planning, etc. In a distributed system timeliness+power constraints force us to perform storage and processing locally although a global perspective would yield better results. In such systems we will need to redefine the locality <-> timeliness <-> safety tradeoff and introduce a hierarchical approach to optimize the system NetFutures 2015 / E1 / Optical networks -- Bruxelles, 25/03/2015 2
3 From the 2 nd RETHINK big EET Barcelona, 9-10 Dec 2014 SWOT Big Data and networking S There are, in EU, more and more organized industrial/research associations and fora joining efforts towards upcoming enabling technologies in networking (e.g. SDN, NFV, etc.) and related services (e.g. open interfaces for network programmability; more ubiquitous and capillary networks) O There s a chance to implement a DC-as-aservice on a very large scale, with commercial services, available to a very wide range of users. W These efforts in EU have not already reached the stage of maturity and the critical mass that they already have in other countries, e.g. US and KR. T The major risk/threat is that the fragmentation of the industrial ecosystem in EU will diminish or hamper these efforts towards openness and standardization of network technology trends. NetFutures 2015 / E1 / Optical networks -- Bruxelles, 25/03/2015 3
4 Big Data challenges and optical networks It s no more just about data size 5 Vs: Volume, Variety, Velocity, Variability, Veracity + Complexity E.g. 5G, any kind of sensor facilities, the network itself (especially if virtualized), etc. The old, centralized HPC model for (scientific) Big Data can t be the solution in most of the cases Next generation Big Data platforms/infrastructures are going to be sensitive of data location and, thus, network-aware to some extent e.g. Google s Cloud Dataflow (Flume, MillWheel); Twitter s Summingbird For [near] real-time Big Data applications we still need very fast & dynamic pipes to support my data processing graph BoD is really needed now, with a proper SLA integration at the NBI(s) Service integration at different network layers and segment is key for service sustainability In the metro-core, this will call for optical BoD NetFutures 2015 / E1 / Optical networks -- Bruxelles, 25/03/2015 4
5 Data staging graph caching processing storage data source(s) caching storage processing info sink(s) processing storage caching data information NetFutures 2015 / E1 / Optical networks -- Bruxelles, 25/03/2015 5
6 For any further info Nicola Ciulli Head of Research & Development HQ: via Livornese, 1027, Pisa (Italy) Tel: Fax: NetFutures 2015 / E1 / Optical networks -- Bruxelles, 25/03/2015 6
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