Utilising Cloud Resources to Gain Knowledge from Social Media

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Utilising Cloud Resources to Gain Knowledge from Social Media

  1. 1. Utilising Cloud Resources to Gain Knowledge from Social Media Presentation to Social Media Research Workshop Wednesday, Feb 5 - Feb 6, 2014 IIIT Bangalore, Electronic City, Bangalore Professor Gerard Parr Chair in Telecommunications Engineering Computer Science Research Institute University of Ulster Northern Ireland, UK gp.parr@ulster.ac.uk 1
  2. 2. My Background • Professor of Telecommunications Engineering at University of Ulster in Northern Ireland, UK which is the largest University on the island of Ireland • PhD in Self Stablizing Protocols- Aspects under Prof Jon Postel (USC-ISI) DARPA USA • Invited Member of EPSRC ICT Strategic Advisory Team- UK Gov’t • Member of Technical Advisory Board at EBTIC , Abu Dhabi, UAE • Visiting Professor to Trinity College Dublin • Contributor to NSF in USA on US-UK-India Links • PhD External Examiner for IIT Delhi , IIT Mumbai and IIT Madras • Invited Member of EPSRC Centre for Doctoral Training in Communications Engineering, University of Bristol • Research Interests include Cloud Computing for Health, Virtualisation, Smart Cities, Internet Technologies, High-speed Network Management, Wireless Sensor Networks and ICT for Bridging the Urban Rural Divide • Lead UK-PI on India-UK Advanced Technology Centre (IU-ATC) • Co-PI for ESRC Administrative Data Research Centre (ADRC) 2 • Founding Member of IEEE Intercloud Testbed Initiative Oct 8th 2013
  3. 3. So where does BIG data come from? This data comes from everywhere including:• • • • • • • • • • • Sensors used to gather climate information Posts to social media sites Digital pictures and videos Experiments for drug discovery Tracking mobile phones Streaming NETFLIX Movies Manufacturers monitoring equipment Financial Services Medical data and patient records e.gov having services and public data available on the Internet Social media ‘noise’
  4. 4. The Growth of Global Internet Traffic Worldwide mobile data traffic will increase 18-fold over the next five years. Mobile Internet will be the main driver - connected devices which will exceed the number of people on earth- (2016 world population estimate of 7.3 billion: source: United Nations). Google Project Glass: Internet enabled! During 2011−2016 Cisco anticipates that global mobile data traffic will outgrow global fixed data traffic by three times. In context this is equivalent to:33 billion DVDs. 4.3 quadrillion MP3 files (music/audio). 813 quadrillion text messages. Ref: Cisco® Visual Networking Index Global Mobile Data Traffic Forecast for 2011 to 2016,
  5. 5. A few helpful terms….. Terabyte: A Terabyte is approximately one trillion bytes, or 1,000 Gigabytes. To put it in some perspective, a Terabyte could hold about 3.6 million 300 Kilobyte images or maybe about 300 hours of good quality video. A Terabyte could hold 1,000 copies of the Encyclopaedia Britannica. Ten Terabytes could hold the printed collection of the Library of Congress. Petabyte: A Petabyte is approximately 1,000 Terabytes or one million Gigabytes. 1 Petabyte could hold approximately 20 million 4-door filing cabinets full of text. It could hold 500 billion pages of standard printed text. Exabyte: An Exabyte is approximately 1,000 Petabytes. An Exabyte is approximately one quintillion bytes or one billion Gigabytes. There is not much to compare an Exabyte to. It has been said that 5 Exabytes would be equal to all of the words ever spoken by mankind. Zettabyte: A Zettabyte is approximately 1,000 Exabytes.
  6. 6. 6
  7. 7. Ref: Asigra
  8. 8. The Busy Routes for Digital Traffic
  9. 9. BIG DATA is not just HADOOP (Courtesy of Martin Pavlík- IBM) Understand and navigate federated big data sources Federated Discovery and Navigation Manage & store huge volume of any data Hadoop File System MapReduce Structure and control data Data Warehousing Manage streaming data Stream Computing Analyze unstructured data Text Analytics Engine Integrate and govern all data sources Integration, Data Quality, Security, Lifecycle Management, MDM 9
  10. 10. Supported by Research Councils UK(EPSRC) and Department of Science and Technology(DST), Government of India Professor Gerard Parr UK- PI of the IU-ATC Chair in Telecommunications Engineering University of Ulster, Coleraine, Northern Ireland, UK gp.parr@ulster.ac.uk http://www.iu-atc.com 10
  11. 11. What is the IU-ATC? The IU-ATC (India-UK Advanced Technology Centre) of Excellence in Next Generation Networks, Systems and Services is a joint multi-million pound research initiative funded by the British and Indian Governments which will put in place a focused agenda to support collaborative PhD, Post Doctorate projects and joint fundamental research programmes and technology transfer between the UK and India. Phase One of the Centre officially started in June 2009 with total funding of £9.2 million and funding for Phase two was announced at the UK-India Science and Innovation Council meeting in a joint statement during April 2012 with total funding of just over £10 million: It is an internationally leading resource for UK and Indian Research Institutions and ICT Companies to collaborate in support of the future Global Information Economies. 11
  12. 12. • The IU-ATC is structured on three Integrated Research Groups comprising of thirteen Cross-layer Research Work packages . • These inter-related work packages were identified after detailed technical discussions at various consortium workshops to ensure our programme of joint research between UK and Indian scientists is internationally leading and competitive. • We also wish to contribute to the further development and deployment of Next Generation Converged Networks in support of affordable applications. • These Work packages build on the strength of our consortium members and the successful outcomes of IU-ATC Phase One. • They provide the greatest opportunities for the scoping of technology demonstrators that will underpin the development of policies and initiatives for both the rural and urban Digital Information Economy in India 12 and the UK.
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  15. 15. Group 1: Services and Applications This group aims to develop a number of service demonstrators, with focus on novel applications to meet the requirements in rural India and remote areas of the UK. The services must be scalable and have the necessary user interfaces to cater for different user needs. WP 1: e-Agriculture WP 3: Collaborative Learning WP 2: e-Health ICT Towards Managing Healthcare Delivery Services and Applications WP4: Internet of Things (IoT) - e-Health WP 5: Provisioning and Delivery of Emergency Services 15
  16. 16. Exemplar project- Cloud Based Crop Disease Detection I. Pest Disease Image Upload application (PDIU) Mobile application allows farmers to take photos of affected crops and upload them, making them available to the expert II. Advisories related to pest and disease Using existing call centre set-up, personalized advisories regarding pest and diseases were given to farmers III. Automatic colour correction (University of Bristol/University of Ulster) Demonstrated simple disease classification/recognition in plant images captured in controlled environments. The research produced a number of approaches for colour correction/normalisation and leaf segmentation to aid recognition. 16
  17. 17. Crop-Imaging on the India-UK Test-bed 17
  18. 18. Group 1: Services and Applications – Provisioning and Delivery of Emergency Services WP5 focuses on developing a scalable and robust Early Warning System for natural and manmade disasters, leveraging existing communication infrastructure and taking into account the vast differences in end users’ device capabilities. The Early Warning System uses a diverse set of delivery mechanisms including SMS, CBS and IP messaging over the available access networks to disseminate warnings, with context-aware adaptation of content and user interface. 18
  19. 19. Group 1: Services and Applications ADAPTIVE MULTIMODAL INTERFACES We follow a user centred inclusive design approach that involves end-users in all stages of development ensuring that the final product is usable and enjoyable for users with a wide range of abilities. We have developed an Inclusive User Model that simulates users’ interaction patterns and we deploy this to personalize electronic interfaces for both health, physical and situational impairments We have conducted an extensive user survey in both UK and India to understand the objective range of abilities and the subjective attitudes towards technology of elderly users. 19
  20. 20. Group 1: Services and Applications ADAPTIVE MULTIMODAL INTERFACES We interviewed key First Responder and governmental stake-holders for the design of a resilient wireless disaster management system, that is contributing towards an inclusive disaster early warning and rescue management system to be trialled in UK and India. 20
  21. 21. Deriving Real-Time Value.. A new proposal under development Global First Responder System for Man-made or Natural Disasters Integrating, Fusing and Extracting Useful Intelligence from Social Media Real-time Feeds 21
  22. 22. Group 2: Core Network Systems Core Fixed and Wireless Infrastructure with Intelligent Monitoring and Dynamic Resource Allocation 22
  23. 23. Group 2: Core Network Systems WP1: Resource Allocation for Wireless Access to the Cloud With recent developments in cloud services, Group 2 WP1 will aim to develop a framework that will dynamically expose and scale cloud resources used in delivering mobile services. Our work will propose and develop a “Cloud Resource Broker” that interfaces the mobile environment to existing cloud management platforms for dynamic resource allocation via programmable interfaces. This will enable the deployment of cloud resources at the edge of the mobile network. Why is the support for mobile environments important? IoT services are introducing more intelligent mobile devices with critical requirements – i.e. healthcare and security services. Efficient use of mobile resources such as spectrum, battery power and location services. Optimisation of applications by using techniques such as edge caching and opportunistic networks. The ability to offload cloud resources to the edge of the network. 23
  24. 24. Group 2: Core Network Systems WP2: Cloud Aware Transport Protocols and Adaptation App1 Users consume a range of applications and data over WLAN using a variety of devices. The demand for bandwidth varies according to the user’s needs. New research focuses on assigning the appropriate 802.11 protocol to a connecting device, according to its requirements. This dynamic and intelligent protocol selection should increase energy efficiency while assuring adequate QoS for users. This research is built upon a testbed consisting of a range of fixed and wireless technologies with provision for inter-platform operability. App0 App2 802.11g Wireless Devices 802.11g 802.11n Internet To Central Data Centre Cloud Edge Node 24
  25. 25. Group 2: Core Network Systems WP3: WiCAP – Wireless Cloud Application Proxy Mobile networks currently play a key role in the evolution of the Internet due to exponential increase in demand for Internet-enabled mobile devices and applications. This has led to various demands to re-think basic designs of the current Internet architecture, investigating new and innovative ways in which key functionalities such as end-to-end connectivity, mobility, security, cloud services and future requirements can be added to its foundational core design. A data centre scaling out resources to the Wireless Application Cloud Proxy In this work package, we investigate, propose and design a functional element, known as the mobile cloud proxy, that enables the seamless integration and extension of core cloud services on the public Internet into mobile networks. The mobile cloud proxy function addresses current limitations in the deployment of cloud services in mobile networks tackling limitations such as dynamic resource allocation, transport protocols, application caching and security. This is achieved by leveraging advances in software-defined radios (SDRs) and networks (SDNs) to dynamically interface key functions within the mobile and Internet domains. 25
  26. 26. Group 3: Heterogeneous Wireless Access Networks Energy Efficient Heterogeneous and Cognitive Access Networks This work area aims to investigate and develop effective techniques to provide low-cost and ubiquitous wireless access networks, particularly, to rural communities as the enabling technologies for green and sustainable economies in both UK and India. The technical approach in this project focuses on exploitation of self-organised heterogeneous and cognitive techniques in designing both physical layer and upper layers of wireless communications systems. WP 1: PHY layer technologies for 4G+ WP 2: Radio Resource Management (RRM) in Future HETNETS Heterogeneous Wireless Access Networks WP 3: Cognitive Radio and Future Spectrum WP4: Enhancement of the Wireless Testbed 26
  27. 27. New UK International Connectivity and Research Infrastructure Supporting BIG Data and Cloud Services Globally “PROJECT KELVIN” Professor Gerard Parr Scientific Advisor to UK and Irish Governments Department of Enterprise Trade and Investment (DETI) in Northern Ireland and the Minister for Communications, Energy and Natural Resources (MCENR) in Ireland
  28. 28. Natural Catastrophes? Contingency Plan?
  29. 29. Landing Station Locations Operating in 125 POPs across 50 Markets in North America, Europe and Asia 26,000 km of owned terrestrial and submarine fibre assets with leases on an additional 80,000 km worldwide Sales come from high growth segments, specifically from three primary vertical solutions Wholesale Capacity Financial Network Services Media Network Services Hibernia’s network is: – Utilised by all of the top 20 largest carriers in the world – Connected to all of the top 10 largest financial exchanges – Transporting live video programming regularly viewed by an estimated 20M people per day 29
  30. 30. The Cable Landing Station at Coleraine…. “our TARDIS” Time and Relative Dimension in Space (and Data)! £millions of equipment carrying £billions of data
  31. 31. Top-level Hibernia Network Map
  32. 32. USPs for KELVIN Link in Northern Ireland • 1.92Tbit/s Northern Ireland to US & Canada Coast- currently under upgrade • 7.68Tbit/s Northern Ireland to European Coast • 13 x Carrier Neutral Points of Presence (POPs) on Island of Ireland • 52ms from Coleraine to Halifax (Nova Scotia)- lowest latency!
  33. 33. To put in context… Using the 100Gigabit/sec capabilities the KELVIN Links could carry : 979,584 simultaneous HD videos 600,000,000 simultaneous SKYPE calls ….and the link is getting faster!!! Ref: Hibernia Networks 27th March 2013
  34. 34. International Links (Project Kelvin) 34
  35. 35. International Connectivity KELVIN provides the fastest link across the Atlantic Ocean: Excellent for High frequency Real-time Trading, large-scale multi-player Cloud Gaming, real-time TV streaming or analysing oil/gas exploration data.
  36. 36. Telcos Government E-Commerce Managed Services Department of Communications, Energy and Natural Resources Roinn Cumarsáide, Fuinnimh agus Acmhainní Nádúrtha Media & Broadcast Financial Services Enterprise and Wholesale Key Customer Segments 36
  37. 37. The Northern Ireland ESRC Administrative Data Research Centre • • • • Linkage service Safe setting Safe-setting support Data acquisition • Public engagement • Training, capacity building • Research 37
  38. 38. Providing the tools and techniques to give the wider public (citizens, agencies and companies) access to the data they paid government to Collate in the Cloud!!! 38
  39. 39. IT as a Utility funded under Research Council UK's Digital Economy theme The Digital Economy vision is of the transformational impact of digital technologies on all aspects of life. 39
  40. 40. • IT as a Utility Network+ – 1 of 4 networks supported by RCUK Digital Economy Theme • Aim: better understanding the benefits and opportunities afforded by the digital economy • Objective: foster collaboration between academia, business and policy-making bodies 40
  41. 41. Partners & collaborators • PI and Co-Is: Jeremy Frey ( Uni Southampton) Gerard Parr (Ulster) Mark Sandler (QMUL) Richard Mortier ( Uni Nottingham) Mike Surridge (Uni Southampton) Steve Brewer – Network Coordinator • Advisory group: – – – – – – – – – – ustwo IBM BT Thales Microsoft BBC Reseaerch Cabinet Office DSTL Zenotech Cambridge & Newcastle Universities 41
  42. 42. The Digital Economy and ITaaU 3D printing The Cloud cloud computing food security traditional utilities “Network+ smart spaces/ smart cities” “apps are the new taps…” sensors & actuators libraries of the future “tangible Interfaces” data-driven science electronic lab telecommunications notebooks 42
  43. 43. Workshop themes include:• • • • • • • • libraries of the future emerging economies, user interaction design trust and security Food Security Smart Environments Diversity Massive Data Analytics 43
  44. 44. First two successful pilot projects have now been running for a while: • Trusted Tiny Things – led from University of Aberdeen • Using Wireless Networks to Support First Responders and Resilience in Upland Areas – led from QMUL & Cambridge 44
  45. 45. Pilot Projects about to start • Typology of Loss in Vaccine Supply (TOLIVS) – Deploy pilot cloud service/mobile sensing in the field for vaccine tracking. Particularly typology of drug loss in the cold supply chain • CloudMaker – A utility to support social creativity between children • BluPoint – Provision of digital content as a utility in low-resourced off-grid communities • Sun & Sky – A sun and sky environmental monitoring system for crowd sourcing • Communities in the Cloud – Technology to support high-density/high/rise communities 45
  46. 46. Secondment Projects being arranged • Exploring social knowledge integration with digital mapping technologies to benefit communities • Integration of IoT and M2M technologies for the weightless network. Investigation of challenging propagation environments. Workshop planned. • Social pedestrian modelling of Clapham Junction and London Bridge Station. • Story as Utility: how can HDI unleash ITaaU research in the wild? 46
  47. 47. Where does this lead us? • Data lies at the heart of the digital economy • This has many implications for the future • Big data – huge quantities of homogenous, heterogeneous and disparate – new mathematics needed • Security and trust issues will pervade • Design matters – democratization of data and its by products: information and knowledge 47
  48. 48. (some of the team!)
  49. 49. Thanks for your attention The RCUK DE “IT as a Utility” Project would like to explore how we might help with the follow-up to this Bangalore workshop. Please let me know what we can do..! Professor Gerard Parr UK Lead PI for India-UK CoE University of Ulster, UK gp.parr@ulster.ac.uk

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