Delivering Social Multimedia Content with Scalability - Case Study Insights
Explore the challenges and solutions in delivering social multimedia content with scalability, covering topics like edge computing, user-generated content optimization, and energy efficiency. Discover how existing solutions like network caching algorithms and holistic approaches are addressing these issues effectively.
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CASE STUDY 5 Delivering Social Multimedia Content with Scalability CS Summary 3rd Grant Period SPEAKER: Dr. Irene Kilanioti University of Cyprus Department of Computer Science
1 George Angelos Papadopoulos Irene Kilanioti george@cs.ucy.ac.cy WG1, WG2 WG1 Coordinator 2 ekoila01@ucy.ac.cy Vice-Coordinator 3 Anthony Karageorgos karageorgos@computer.org WG1, WG2 Team member Team Members 4 Apostolos Ksenakis axenakis@inf.uth.gr WG1 Team member 5 Luis Correia Luis.Correia@ciencias.ulisboa.pt WG2 Team member WG1 6 Francisco Couto fcouto@di.fc.ul.pt Team member 7 George Suciu george.suciu@beia.ro WG1 Team member 8 Alejandro Fernandez Montes afdez@us.es WG1 Team Member 9 Dave Feenan dave.feenan@ibec.ie WG1 Team Member 10 Rabih Bashroush r.bashroush@qub.ac.uk WG1 Team Member 11 Adrian Widlak adrian.widlak@pk.edu.pl WG1 Team Member 12 Mateusz Nytko Nytko.mateusz@gmail.com WG1 Team Member 13 Damien Fern ndez- Cerero damianfdezcerero@gmail.com WG1 Team Member 14 Efthimios Lallas elallas@mail.teiste.gr WG1 Team Member
Motivation Multimedia content delivery technologies: essential for a wide range of innovative services-multimedia social networks P2P video streaming / IPTV / interactive online games /cloud multimedia content delivery / content-centric networks Network infrastructures: Content Delivery Networks (CDNs) proliferation of smartphones/ cheap broadband connections free short clip and streaming platforms (100 hours of video content uploaded in YouTube per minute) multiplication over popular Online Social Networks (OSNs) (500 million tweets per day, of which more than 400 tweets per minute include a YouTube link ) video stalling events CDNs need to cope with the cost-efficient prefetching of voluminous bandwidth-demanding content.
Topics & Main problems Content Delivery Edge /Fog Computing Points of Presence User Generated Content Delivery Optimization TOPICS Energy Efficiency / Consumption Reduce Environmental Impact (Server Location) Data Scalability (Time Threshold) Data Localization Data/ System Redundancy Time Critical / Self-adaptive system (high-level configurations should address low-level needs) MAIN PROBLEMS
Existing solutions Network Caching algorithms Holistic (software / infrastructure) approach in optimizing energy consumption SWITCH approach for time critical and self-adaptive cloud applications Data kept in memory instead of hard drives
Proposed solutions Design an holistic approach combining application and infrastructure Applications of heuristics to build prefetching decisions Use of a realistic industrial application as a testbed for the developed framework
Work results according to Workplan till end of February 2018 Survey of the SotA on Challenges for future content-delivery data centers (submitted for review) Identify journal special issues on topic related to the CS oSpringer TLDKS, Context-aware data access over social media streams Identify H2020 topic to which the work in this CS can be aligned oTopic/Topic identifier: Future Hyper-connected Sociality / ICT-28-2018 Publications (cHiPSet): 1. I. Kilanioti,A. Fern ndez-Montes, D. Fern ndez-Cerero, C. Papadopoulos,A Survey on Cost-effective Context-aware Distribution of Social Data Centers, Springer TLDKS, Context-aware data access over social media streams. Under review. 2. I. Kilanioti and G.A. Papadopoulos, Content Delivery Simulations supported by Social Network Simulation Modelling Practice and Theory Journal - SIMPAT Elsevier, Volume Elsevier. 3. I. Kilanioti and G.A. Papadopoulos, Delivering social multimedia content with scalability, in Management for Big Data Platforms:Algorithms, Modelling and High Performance Computer Communications and Networks Series, Eds. J. 18. 4. I. Kilanioti and G.A. Papadopoulos, Predicting video virality on Twitter, in Resource Management Platforms:Algorithms, Modelling and High-Performance Computing Techniques, Springer Computer Communications and Networks Series, Eds. J. Kolodziej, Florin Pop and B. di Martino, Springer, 2016, ch. 20. Mettouris, V. Nejkovic, R. Bashroush, G. A. Data Streams over Energy-efficient awareness, 71, February 2017, Pages 114-133, Resource Computing Techniques, Springer Kolodziej, Florin Pop and B. di Martino, Springer, 2016, ch. for Big Data
Areas of expertise - Collaborations Network routing Security issues Energy efficiency Digital Interaction Intelligence Social NetworkAnalysis
Future tasks Identification of parameters for conversion of the issue into an optimization problem Consideration of particular features and parameters concerning multimedia content Definition of the (infrastructure level, application level etc.) optimization scope
