Social Cloud: Cloud Computing in Social Networks


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With the increasingly ubiquitous nature of Social networks and Cloud computing, users are starting to explore new ways to interact with, and exploit these developing paradigms. Social networks are used to reflect real world relationships that allow users to share information and form connections between one another, essentially creating dynamic Virtual Organizations. We propose leveraging the pre-established trust formed through friend relationships within a Social network to form a dynamic “Social Cloud”, enabling friends to share resources within the context of a Social network. We believe that combining trust relationships with suitable incentive mechanisms (through financial payments or bartering) could provide much more sustainable resource sharing mechanisms. This paper outlines our vision of, and experiences with, creating a Social Storage Cloud, looking specifically at possible market mechanisms that could be used to create a dynamic Cloud infrastructure in a Social network environment.

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  • 400 million June 2010
  • Many service types: people servicesComputational servicesStorage servicesIn industry solutions this assumption is typically replaced by consumer proactive/reactive action – e.g. Amazon SLAOr they do not implement enforcement policiesThe problem:Anonymity between participants is commonE.g. Allocation through auctions or other market mechanismsThe models fall apart completely if this assumption is removed
  • Social Networks model relationshipsOpenSocial & OpenId, used by most social networking sites, andFacebook’s bespoke application framework
  • Any number of compensation or incentive mechanisms could be usedRemember that this is a social network, and cheating is anti-social behaviour in such a context. Therefore, we can assume that the network will aggressively respond to cheatingNote that here a SLA does NOT mean a contract, but an agreement between two parties
  • Take it or leave it fixed price
  • Attributes of a Second Price Sealed Bid auctionEncourages truth tellingLowers communication overhead
  • Still 1 GB RAM
  • Still with 1GB RAM, on an old machineStorage requests would imagine are long term – dynamic ad hoc usage may be a different story
  • Thisimpl is a proof of concept there are so many ways we (or other people) can build upon this work....
  • Social Cloud: Cloud Computing in Social Networks

    1. 1. Social Cloud: Cloud Computing in Social Networks Kyle Chard, Simon Caton, Omer Rana and Kris Bubendorfer
    2. 2. Emerging Themes• Cloud Computing is growing in strength – Many providers e.g. Amazon EC2/S3, Google App Engine, Microsoft Azure and also many smaller scale open clouds such as Nimbus and Eucalyptus.• Social Networking is increasingly ubiquitous: – E.g. Facebook has over 400 Million active users. – 50 % of these users log on every day
    3. 3. Current Cloud Scenarios and Problems• Sharing – Finite capacity vs. fluctuating requirements – Many social peers with different capabilities• Economy – Small scale consumers have ad hoc requirements – Money grabbing providers and inflexible lock-in• Trust – always assumed at some level – Anonymity (Market-based/broker allocation) – Many models fall apart when this is removed
    4. 4. Social Networks• Formed through pre-existing relationships, – i.e. your friends• Have a pre-existent fabric of trust inherently interwoven into the network – How many of your friends do you not trust?• Many applications now use social networks as a platform for: – Authentication e.g. Facebook Connect – Application Portals e.g. ASPEN and PolarGrid projects• There already exist well established application APIs
    5. 5. The Social Cloud Vision + + The leveraging of pre-existing relationships in order to enable A Social Cloud allows friends to share mutually beneficial interactions capabilities within the context of a within a cloud context. Social Network.• An amalgamation of: Volunteer computing arises as users – Social Networking can share resources for little or no – Cloud Computing gain, perhaps through reciprocal – Volunteer Computing arrangements.
    6. 6. Social Cloud Interaction Vision Socially – orientated Market Place Social Cloud
    7. 7. Social Cloud Economy • Payment (in an economic sense) is optional • Instead we utilise a virtual currency – All collaborations involve a transfer of “credits” – All participants are given an initial amount of credits – No one can buy additional credits – they must be earned – Therefore, we can prevent free-riding, and actively encourage participation
    8. 8. Community Effect• Susceptible to cheating through fabricated accounts – Social Enforcement: exclusion of anti-social peers• To encapsulate the nature of an interaction an agreement is used for the domains: – Technical Requirements – Non-functional properties – Temporal Requirements – Economic preferences• WS-Agreement + EJSDL + DRIVE API + Reservation + Social Cloud Extensions
    9. 9. Social Cloud Proof of Concept• Simple Storage Service Implemented as a Facebook application• Use Case: a back up facility Agreement
    10. 10. Posted Price – Enables interactions based upon active trading/collaborative decisions – Intuitively facilitates reciprocal collaboration – Current “norm” in industry solutions Social Cloud MDS User ID URL Capacity Price User1 100MB 5 Storage Storage User2 500MB 10 Storage User3 5GB 7
    11. 11. Dynamic Auctions• Auction: – Enables dynamic participant pairing – Sealed bid second price reverse auction• Could be extended to any other auction mechanism
    12. 12. EvaluationResearch Questions:• Can a Social Cloud Scale?• What are the computational requirements for an “average” sized Social Cloud? – According to Facebook, the average social network has 130 participants• Can a Social Cloud function in a timely manner as a Facebook application?
    13. 13. Posted Price Scalability• Varying the size of the MDS and number of matches• With a size of 2000, 100 matches can be discovered in ~ 2 seconds, which is reasonable
    14. 14. Auction Scalability• 500 Auctions and the worst case scenario: – all auctions run concurrently• Even with 50 bidders can still complete 65 auctions per minute• Under our assumptions this is already enough for a large social network
    15. 15. Dissemination of Results• A social (storage) cloud can be hosted using minimal resources (3 – 4 yr old PC)• Components show good throughput under realistic loads• However, scaling to millions of users would require a dedicated HPC or elastic environment – Co-op model  members sustain the platform
    16. 16. Conclusions & Future Work• Social Cloud – Dynamic cloud environment leveraging existing trust relationships – Proof-of-concept: can be extended for many new scenarios• Future Work – Computation, licenses and other capabilities – Combinatorial auctions – Generic scientific cloud communities – e.g. myExperiment – Evolution of the economic model
    17. 17. Questions?Please look at our Prototype Social Cloud Video /