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Resources Management and Component Placement

Resources Management and Component Placement. Presenter: Bo Sheng. Outline. SHARP: Secure Resources Peering Motivation Overview Key techniques Evaluation Profile-driven Component Placement. Motivation. Research threads: Federated sharing of distributed resources under coordinated control

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Resources Management and Component Placement

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  1. Resources Management and Component Placement Presenter: Bo Sheng

  2. Outline • SHARP: Secure Resources Peering • Motivation • Overview • Key techniques • Evaluation • Profile-driven Component Placement

  3. Motivation • Research threads: Federated sharing of distributed resources under coordinated control • Internet service utility • Computational network (PlanetLab, Netbed) • P2P and Grid computing • Location independent service naming

  4. Motivation • Resource Management

  5. Motivation • Flexible Policy-based System • Reserve resources across the system • Admission control • Balance global resources sharing • Robust • Secure

  6. SHARP • SHARP (Secure Highly Available Resource Peering) • Soft-state timed claims • Oversubscribe • Accountable delegation

  7. SHARP-Architecture • Overview • Site/node • Slice • Service manager • Site authority • Local resource scheduler • Agents

  8. SHARP-Architecture • Overview

  9. SHARP-Architecture • Resources Claims • Claim record <holder, resource set, term> • Signed by the issuer • Resources Obtainment • Ticket • Lease • Resources Delegation • Self-describing / Self-certifying

  10. SHARP-Architecture • Probabilistic Claims • Oversubscribe • Accountable • Conflict • Rejection • Reputation service • Degree control

  11. SHARP-Architecture • SHARP Interface • Request<reqID, resourceSet, [claims], [option]> • Claim<reqID, claims> • Grant<reqID, claims> • Reject<reqID, rejectRecord, claims>

  12. SHARP-Architecture • Agents • Site agents • Distribute claims for site resources • Peering policy • User agents • Gather tickets for global resources • Brokers • Community banking • Adaptive provisioning

  13. SHARP-Architecture • Security Architecture • T1:Unauthorized service manager • T2:Replay attack • T3:Unauthorized agent or client • T4:Site contributes faulty resources • T5:Malformed requests or claims • T7:Malicious (A) site authority (B) agent falsely advertises tickets or lease for which resources do not exist. • T8:Malicious site authority falsely rejects tickets.

  14. SHARP-Secure Delegation • Resources Sets • Abstract in a ticket <type, count> • Distribution/redeem • Mapping from abstract to concrete resources • Resource Claims • Globally unique claimID • <claimID, issuer, holder, rset, term, parent> • Signature SHAKi

  15. SHARP-Secure Delegation • Secure Delegation and Tickets

  16. SHARP-Secure Delegation • Secure Delegation and Tickets

  17. SHARP-Secure Delegation • Claim Tree

  18. SHARP-Secure Delegation • Tickets Conflicts and Accountability • A set of claims {c0,…,cn} is conflicting at claim p ∑ci.rset.count > p.rset.count • A set of tickets is conflicting iff their final claims are conflicting for some common ancestor p • Accountable claim

  19. SHARP-Secure Delegation • Tickets Conflicts and Accountability

  20. SHARP-Secure Delegation • Detection Algorithm – linear with chain’s length

  21. SHARP-Secure Delegation • Security Analysis and Discussion • Non-repudiation / Sybil attack • Confinement problem • Clock synchronization / monitoring

  22. SHARP-Resources Availability and Efficiency • Soft/hard reservation • Key techniques • Timed claim • Oversubscribe • Degree • Aggressive advertisement • Latency/overhead of resource discovery • Coordination

  23. Case Study-PanetLab • Resource routing and access via pair-wise relationship

  24. Case Study-PanetLab • Evaluation - oversubscribe

  25. Case Study-PanetLab • Evaluation - oversubscribe

  26. Case Study-PanetLab • Evaluation - oversubscribe

  27. SHARP- Conclusion • Resources management • Secure delegation • Oversubscribe

  28. Component Placement • Challenges • Different resource needs / availability • QoS, e.g. response time • Consider runtime factors • Bursty demand • Failures • System upgrades • Goal: Efficient dynamic component placement in cluster-based online service

  29. Component Placement • Overview • Build per-component resource consumption profiles as a function of input workload characteristics • CPU • Network bandwidth • Memory • Average / peak requirements

  30. Component Placement • Overview • Placement decision • Profiles • Available system resources • Runtime workload • Centralized / distributed / dynamical

  31. Component Placement • Overview

  32. Component Placement • Building component profiles • High throughput component placement • Runtime component migration

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