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Monitoring and Management  of Peer-to-Peer Systems
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Communication Paradigms in the Internet ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Challenges for Quality of P2P Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Mechanisms
Approaches to Address Quality Challenges ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],My Goal and Contributions
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
System Management Overview ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Metric Metric Goal
Running Example: Improving the Lookup Delay ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],100ms 100ms 100ms 2207 2906 3485 2011 1622 1008 709 611 Hop Count Routing
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Monitoring Solution: SkyEye.KOM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Reactive Pull-based Several Mesh, ring, star, bus Unstructured Integrated Sampling Centralized Alternatives CONE, Li et al. Proactive Update pattern SOMO Push-based Protocol Roaming agents, Hall et al. Complete view Monitoring scope Related work realizing alternative SkyEye.KOM   Design decision SDIMS One Tree count Node counting in Chord Tree Topology T-Man, Push-Sum Structured Overlay type Astrolabe, Willow, DASIS New Layer Client / Server approach, SNMP Distributed   Paradigm
SkyEye.KOM: Tree Topology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Internet 0.5 0.25 0.375 0,3125 0.75 0.875 0.625 0.125 Domain Domain ID 0.3125 1 10 50 20 30 40 45 15 P2P Overlay 0 1 0.09 0.2 0.31 0,4 0.5 0.6 0.75 0.9 0.375 0.25 0.5
SkyEye.KOM: Communication Protocol ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Local measures, (synchronized signal in simulations) Aggregated view Global view
Evaluation of SkyEye.KOM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Simulation Run – N=10000, UI=60s, β=4 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Testbed Evaluation: Validation of Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],10% 20% Random 50% 50%
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Planning a new Configuration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],? Metric goal Current metric Parameters
Re-Configuration of the System ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Statistics: metrics and paramters Global view on metrics  &  new  parameters ? Local metric statistics Global metric statistics Metric Update Metric ACK Local parameter statistics New parameter settings
Management of the Hop Count in Chord ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],2207 2906 3485 2011 1622 1008 709 611 Hop Count Routing + 100 % Hop count too large - 10 % Hop count too small Finger table size Static Rule Approach
Evaluation Results on SkyNet.KOM ,[object Object],[object Object],[object Object],[object Object],[object Object],8 100 Hop Count 80 20 Finger Table Size 2 Steps Initial Start: too large 7.1 5.7 Hop Count 117 160 Finger Table Size 3 Steps Initial Start: too small
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Implications ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You for Your Attention!
 
My Goal and Contribution ,[object Object],Investigation on quality control P 3 R 3 O.KOM LifeSocial.KOM – a P2P-based Secure Online Social Network Example Application P2P platform for app-based application composition with monitored QoS Analytical model, simulations Analytical model, simulations, testbed Evaluation Distributed redundancy control for guaranteed resource provisioning Autonomic self-configuration cycle  to reach and hold preset quality goals SkyNet.KOM Management …  of peer-specific metrics,     capacity-based peer search …  of system-specific metrics,     global view on system status SkyEye.KOM Monitoring Reliable resource reservation Controlled system metrics Monitoring and management of p2p systems Goal
P2P Overlays: Structured and Unstructured Peer ID space Object ID space Structured P2P Overlay Unstructured P2P Overlay q q L L q q L L
Gathering Peer-specific Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Gathering Peer-specific Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Unified ID space and abstr. functions  Coordinator Peer Support Peer For SP: 2nd best Best peer Best peer best  best For SP: 2nd  best from below For SP: 2nd best For SP: best peer in the tree
Gathering Peer-specific Information: Protocol ,[object Object],[object Object],[object Object],[object Object],[object Object],Threshold 20MB Threshold 15MB Threshold 200MB Threshold 50MB Threshold 150MB SP Threshold 20MB Threshold 15MB Threshold 200MB Threshold 50MB Threshold 150MB SP SP 10MB 20MB 20MB 16MB 15MB 37MB Address of  the Support-Peer 10MB 15MB 42MB 20MB 10MB 11MB 10MB 10MB Query Query Match 1 Match 2 Query Match 1 Match 2 Match 3 Query Match 1 Match 2 Match 3 Match 4 Match 5 Query Match 1
SkyEye.KOM: Tree Growth and Depth ,[object Object],[object Object],[object Object],[object Object],[object Object]
SkyEye.KOM: Peer-specific Information ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example: Distributed Cloud ,[object Object],[object Object],[object Object],[object Object],   See: K. Graffi, AsKo, NL, RST, “From Cells to Organisms: Long-Term Guarantees on Service Provisioning in P2P Networks”   In ACM:  8th ACM SIGAPP International Conference on New Technologies of Distributed Systems (NOTERE '08), June 2008 Name price, e.g. comp. power Request service, e.g. comp. power Name price, e.g. bandwidth Information Architecture Gather information about the system: Who offers & con- sumes what? System state? Build  information architecture Request service, e.g. storage space Calculate usage trends and resource availability in the future based on gathered information
Inspiration: Monitoring Trees ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Students Coordinators Root
Monitoring of P2P Systems ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Query for 2 peers: Online time < 60m Peers B, D
SkyEye.KOM: Protocols
Interdependencies: Finger Table Size, Contacts, Hop Count, Lookup Delay ,[object Object],[object Object],[object Object],[object Object],[object Object]
Selected Results from the Testbed Evaluation
Comparison of Benchmark Signals
Modules in SkyEye.KOM
SkyEye.KOM – Variants ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quality Properties of SkyEye.KOM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Additional Slides on Management
Comparison of C/S Solution with SkyEye.KOM
Overview on Quantity of Monitored Statistics ,[object Object],[object Object],[object Object]
Comparison of Benchmark Signals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Parameter Studies: Identification of Tradeoffs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Management Goals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],System Provider Users Direct setting of configuration Mechanisms on peers Global p2p system Network dynamics Peer heterogeneity Application shift Metric goals Controller Configuration New configuration Information dissemination Monitoring: information gathering Service quality
 

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Kalman Graffi - Disputation Talk - Monitoring and Management of P2P Systems - 2010

Editor's Notes

  1. Create a new overlay/mechanism for every case?  Reuse existing overlays / mechanisms
  2. “ The well-defined and controllable behavior of a system with respect to quantitative parameters ” Does the system meet the expectations? How can we know? Download counter? Application GUI?
  3. GRAFIK: CAPACITY reservation Challenges Use cases: various applications, large-scale  general Scale: up to millions of peers  decentralized Environment: peer heterogeneity  fair, efficient Dynamism, unreliability: user behavior, churn  self-organizing
  4. Tree topology characteristics All peers part of spanning tree Peer positions calculated Churn-resistant protocols based on IDs
  5. | | November 19, 2007
  6. Model: behavior synthesis Simulation: large scale, detailed Testbed: accurate prototype
  7. MODELL! Log_beta(N) * UI = ???
  8. MODELL für Kosten? Warum 3KB/s ?
  9. | | November 19, 2007
  10. Roter Faden: Nun Übergang zu unserer Lösung: Eine zusätzliche Schicht auf strukturierte P2P Overlays (die durch die Common API einheitlich angesprochen werden können). Die Query Form die unsere Architektur bietet, wird vorgestellt Evtl. Unklare Details: Common API, Paper von “F. Dabek and B. Zhao and P. Druschel and I. Stoica“ zum Vereinheitlichen der Services von DHTs, wichtig hier: Route(ID, Msg) – mittels der eine Nachricht (Msg) zu einem Peer geroutet werden kann der für eine ID (ID) zuständig ist.
  11. -Both figures at the top display the amount of solved queries in relation to the level of the initiator and the level of the solver. Concerning the level of the initiators, one can observe, that the amount depends on the number of peers, which are located at that level (many peers at a level result in many originated queries at that level). This does not hold for the resolution of queries, since 87,3% on the centralized DHT overlay (80.6% on the Chord overlay) of solved queries are solved from 1,3% of nodes out of 5001 (this comprises the peers between the root and the 5 th level) -Though, some queries are solved beneath the aforementioned region. To characterize the complexity of solved queries in relation to the level, we display the figures at the bottom. For the simulations, whose statistics are depicted at the bottom, we use for every query the same conditions, but with a changing amount of requested peers. The amount of the peers ranges between 10 and 200 peers in steps of 10 peers. The pictures show the average complexity of queries, which were solved at that level. One can draw the conclusion, that the average complexity of solved queries is inversely proportional to the depth of a peer. November 19, 2007 | |