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arxiv: 2406.14728 · v1 · submitted 2024-06-20 · 💻 cs.MA

Resource Allocation with Karma Mechanisms

Kevin Riehl , Anastasios Kouvelas , Michail Makridis This is my paper

Pith reviewed 2026-05-23 23:42 UTC · model grok-4.3

classification 💻 cs.MA
keywords Karma mechanismsresource allocationartificial currenciesnon-monetary marketsmechanism designPareto efficiencyincentive compatibilitysystematic mapping study
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The pith

Karma mechanisms achieve fairness, near incentive compatibility, and Pareto efficiency in resource allocation without using money.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This review paper synthesizes scattered literature on Karma as an alternative to monetary markets for allocating resources. It argues that Karma, a non-tradeable currency tied directly to contribution and consumption of specific resources, delivers fairness, near incentive compatibility, Pareto efficiency, and robustness to varied populations while also encouraging less scarcity overall. The authors map existing applications, clarify design elements that have been overlooked, and supply a structured parameter framework plus a research roadmap. A sympathetic reader would care because monetary systems often fail with public goods, externalities, or power imbalances, and money itself is restricted in many ethical or legal settings.

Core claim

Through a systematic mapping study, the review establishes that Karma embodies fairness, near incentive compatibility, Pareto-efficiency, robustness to population heterogeneity, and can incentivize a reduction in resource scarcity; it situates the concept in its literature context, offers a structured design parameter framework, and develops a roadmap for future research directions.

What carries the argument

Karma: a non-tradeable, resource-inherent currency for prosumer resources that operates on the principles of contribution and consumption of specific resources.

If this is right

  • Karma can allocate resources in settings where monetary markets are blocked by social, ethical, or legal constraints.
  • The mechanism remains effective across populations with differing preferences or endowments.
  • Adoption can create incentives that reduce overall scarcity of the allocated resource.
  • A common design parameter framework enables systematic comparison and improvement of Karma applications.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Standardizing the design parameters across fields could accelerate adoption in domains like mobility or energy sharing.
  • Direct empirical tests comparing Karma against other artificial currencies would clarify when each performs best.
  • The roadmap implies experiments that measure whether Karma actually reduces scarcity in real systems over time.

Load-bearing premise

The systematic mapping study search strategy and inclusion criteria captured a representative sample of the scattered Karma literature across disciplines without significant omissions.

What would settle it

Discovery of a substantial body of Karma-related papers or applications in additional databases or disciplines that the mapping study omitted and that fail to exhibit the claimed properties of fairness or efficiency.

Figures

Figures reproduced from arXiv: 2406.14728 by Anastasios Kouvelas, Kevin Riehl, Michail Makridis.

Figure 1
Figure 1. Figure 1: Clusters in the literature corpus. This figure shows word clouds of selected, most frequent words for the six identified topic clusters. The size of words relates to their frequency in the documents [PITH_FULL_IMAGE:figures/full_fig_p004_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Composition & structure of literature corpus. [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Two decades of Karma. (A) This figure shows primary citations (dashed line = citations per year with ordinate on right, black line = cumulative citations with ordinate on left). (B) This figure shows secondary citation.(C) This diagram shows number of cumulative primary (black) and secondary (dashed) citations divided by the number of years after publication. (D+E) These charts show number of times "Karma"… view at source ↗
Figure 4
Figure 4. Figure 4: Article search & selection process. Four cognitive biases can affect the scientific integrity of literature review and lead to systematic errors (Wright et al. 2007). The author bias (confirmation bias) describes the threat to not include all relevant studies, and to include studies in favor of the expected outcome only. The publication bias is the risk of laying too much emphasis on studies with positive … view at source ↗
read the original abstract

Monetary markets serve as established resource allocation mechanisms, typically achieving efficient solutions with limited information. However, they are susceptible to market failures, particularly under the presence of public goods, externalities, or inequality of economic power. Moreover, in many resource allocating contexts, money faces social, ethical, and legal constraints. Consequently, research increasingly explores artificial currencies and non-monetary markets, with Karma emerging as a notable concept. Karma, a non-tradeable, resource-inherent currency for prosumer resources, operates on the principles of contribution and consumption of specific resources. It embodies fairness, near incentive compatibility, Pareto-efficiency, robustness to population heterogeneity, and can incentivize a reduction in resource scarcity. The literature on Karma is scattered across disciplines, varies in scope, and lacks of conceptual clarity and coherence. Thus, this study undertakes a comprehensive review of the Karma mechanism, systematically comparing its resource allocation applications and elucidating overlooked mechanism design elements. Through a systematic mapping study, this review situates Karma within its literature context, offers a structured design parameter framework, and develops a road-map for future research directions.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The paper performs a systematic mapping study of the scattered literature on Karma mechanisms—non-tradeable, resource-inherent artificial currencies—for prosumer resource allocation. It synthesizes applications across disciplines, extracts properties (fairness, near incentive compatibility, Pareto efficiency, robustness to heterogeneity, and scarcity reduction), proposes a structured design-parameter framework, and outlines a research roadmap.

Significance. If the mapping is representative, the work would usefully consolidate an interdisciplinary literature and supply a concrete design-parameter taxonomy plus forward-looking agenda for non-monetary allocation mechanisms in multi-agent systems.

major comments (2)
  1. [§3] §3 (Systematic Mapping Study Methodology): the search strategy, databases, keyword strings, screening criteria, and quality-assessment protocol are not described in sufficient detail to allow verification that the extracted sample is representative of the claimed cross-disciplinary literature; this directly undercuts the reliability of the property synthesis in §4 and the design framework in §5.
  2. [§4.2–4.3] §4.2–4.3 (Synthesis of Karma properties): the headline claims that Karma 'embodies fairness, near incentive compatibility, Pareto-efficiency, robustness to population heterogeneity' are presented as literature-derived conclusions, yet without an explicit mapping of which primary studies support each property (and with what strength of evidence), the aggregation cannot be evaluated.
minor comments (2)
  1. [Abstract] The abstract states the literature 'lacks of conceptual clarity'; this phrasing should be corrected to 'lacks conceptual clarity'.
  2. [Figure 1, Table 2] Figure 1 (literature distribution) and Table 2 (design parameters) would benefit from explicit legends or footnotes indicating the number of primary studies underlying each cell.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the constructive comments, which highlight opportunities to strengthen the transparency of our systematic mapping study. We address each major comment below and will incorporate revisions to improve methodological detail and evidence traceability.

read point-by-point responses

  1. Referee: [§3] §3 (Systematic Mapping Study Methodology): the search strategy, databases, keyword strings, screening criteria, and quality-assessment protocol are not described in sufficient detail to allow verification that the extracted sample is representative of the claimed cross-disciplinary literature; this directly undercuts the reliability of the property synthesis in §4 and the design framework in §5.

    Authors: We agree that greater detail is needed for reproducibility and to substantiate representativeness. In the revision we will expand §3 with: (i) the complete list of databases and repositories searched, (ii) the exact Boolean keyword strings and variations, (iii) the full inclusion/exclusion criteria and multi-stage screening protocol, (iv) a PRISMA-style flow diagram, and (v) the quality-assessment rubric applied to each primary study. These additions will allow readers to evaluate the sample directly. revision: yes

  2. Referee: [§4.2–4.3] §4.2–4.3 (Synthesis of Karma properties): the headline claims that Karma 'embodies fairness, near incentive compatibility, Pareto-efficiency, robustness to population heterogeneity' are presented as literature-derived conclusions, yet without an explicit mapping of which primary studies support each property (and with what strength of evidence), the aggregation cannot be evaluated.

    Authors: We concur that an explicit evidence map is required. The revised manuscript will include a new table (or expanded subsection) in §4 that cross-references each claimed property to the supporting primary studies, together with a brief indication of evidence type (theoretical analysis, simulation, empirical data) and any noted limitations or counter-examples. This will make the synthesis traceable and allow readers to assess the strength of each claim. revision: yes

Circularity Check

0 steps flagged

Literature review with no derivations or predictions

full rationale

This is a systematic mapping study that synthesizes existing Karma literature across disciplines. It contains no equations, first-principles derivations, fitted parameters, or internal predictions that could reduce to inputs by construction. All claims about properties like fairness or efficiency are attributed to cited external works rather than derived within the paper itself. The search strategy and framework are methodological choices, not load-bearing derivations. No circular steps exist.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a literature review paper. No free parameters, axioms, or invented entities are introduced by the central contribution.

pith-pipeline@v0.9.0 · 5718 in / 882 out tokens · 16461 ms · 2026-05-23T23:42:19.801903+00:00 · methodology

discussion (0)

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Forward citations

Cited by 1 Pith paper

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  1. Fair Money -- Public Good Value Pricing With Karma Economies

    cs.MA 2024-07 unverdicted novelty 5.0

    Karma economies use an artificial non-monetary currency to allocate scarce road space fairly by balancing cooperation and needs rather than wealth, supported by a modeling framework and case study.

Reference graph

Works this paper leans on

44 extracted references · 44 canonical work pages · cited by 1 Pith paper

  1. [1]

    ACM SIGecom Exchanges 5(4), 11–20

    Incentives for content availability in memory-less peer-to-peer file sharing systems. ACM SIGecom Exchanges 5(4), 11–20. https://doi.org/10.1145/1120717.1120720. Antons, David, Amol M Joshi, and Torsten Oliver Salge

    work page doi:10.1145/1120717.1120720

  2. [2]

    AJN The American Journal of Nursing 114(3), 53–58

    The systematic review: an overview. AJN The American Journal of Nursing 114(3), 53–58. https://doi.org/10.1097/01.NAJ.0000444496.24228.2c. Bator, F

    work page doi:10.1097/01.naj.0000444496.24228.2c

  3. [3]

    The Anatomy of Market Failure, pp. 129–158. London: Macmillan Education UK. https://doi.org/10.1007/978-1-349-2400 2-9_7. Blei, David M, Andrew Y Ng, and Michael I Jordan

    work page doi:10.1007/978-1-349-2400

  4. [4]

    doi:10.1086/664613 Simon Burgess, Ellen Greaves, Anna Vignoles, and Deborah Wilson

    The combinatorial assignment problem: Approximate competitive equilibrium from equal incomes. Journal of Political Economy 119(6), 1061–1103. https://doi.org/10.1086/664613. Buttyán, Levente and Jean-Pierre Hubaux

    work page doi:10.1086/664613

  5. [5]

    Mobile Networks and Applications 8, 579–592

    Stimulating cooperation in self-organizing mobile ad hoc networks. Mobile Networks and Applications 8, 579–592. https://doi.org/10.1023/A:1025146013151. Caldarola, Fabio, Gianfranco d’Atri, and Enrico Zanardo

    work page doi:10.1023/a:1025146013151

  6. [6]

    Censi, Andrea, Saverio Bolognani, Julian G Zilly, Shima Sadat Mousavi, and Emilio Frazzoli

    https://doi.org/10.3390/math10173040. Censi, Andrea, Saverio Bolognani, Julian G Zilly, Shima Sadat Mousavi, and Emilio Frazzoli

    work page doi:10.3390/math10173040

  7. [7]

    In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp

    Today me, tomorrow thee: Efficient resource allocation in competitive settings using karma games. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pp. 686–693. IEEE. https://doi.org/10.1109/ITSC.2019.8916911. Coase, Ronald Harry

    work page doi:10.1109/itsc.2019.8916911 2019

  8. [8]

    The journal of Law and Economics 3, 1–44

    The problem of social cost. The journal of Law and Economics 3, 1–44. https://doi.org/10.1086/466560. De Palma, André and Robin Lindsey

    work page doi:10.1086/466560

  9. [9]

    Transportation Research Part C: Emerging Technologies 19(6), 1377–1399

    Traffic congestion pricing methodologies and technologies. Transportation Research Part C: Emerging Technologies 19(6), 1377–1399. https://doi.org/10.1016/j.trc.2011.02.010. Dutot, Pierre-François, Fanny Pascual, Krzysztof Rzadca, and Denis Trystram

    work page doi:10.1016/j.trc.2011.02.010 2011

  10. [10]

    Araya-Polo, J

    Approximation algorithms for the multiorganiza- tion scheduling problem. IEEE Transactions on Parallel and Distributed Systems 22(11), 1888–1895. https://doi.org/10.1109/TPDS. 2011.47. Efstathiou, Elias C

    work page doi:10.1109/tpds 2011

  11. [11]

    Dynamic Games and Applications, 1–33

    A self-contained karma economy for the dynamic allocation of common resources. Dynamic Games and Applications, 1–33. https://doi.org/10.1007/s13235-023-00503-0. Elokda, Ezzat, Carlo Cendese, Kenan Zhang, Andrea Censi, John Lygeros, and Emilio Frazzoli

    work page doi:10.1007/s13235-023-00503-0

  12. [12]

    In 2023 31st Mediterranean Conference on Control and Automation (MED), pp

    Karma priority lanes for fair and efficient bottleneck congestion management. In 2023 31st Mediterranean Conference on Control and Automation (MED), pp. 458–463. IEEE. https://doi.org/10.1109/MED59994.2023.10185731. Elokda, Ezzat, Carlo Cenedese, Kenan Zhang, John Lygeros, and Florian Dörfler

    work page doi:10.1109/med59994.2023.10185731 2023

  13. [13]

    arXiv preprint arXiv:2208.07113

    Carma: Fair and efficient bottleneck congestion management with karma. arXiv preprint arXiv:2208.07113. https://doi.org/10.48550/arXiv.2208.07113. Elokda, Ezzat, Andrea Censi, and Saverio Bolognani

    work page doi:10.48550/arxiv.2208.07113

  14. [14]

    arXiv preprint arXiv:2104.14662

    Dynamic population games. arXiv preprint arXiv:2104.14662. https: //doi.org/10.48550/arXiv.2104.14662. Febrero, Felipe, Coral Calero, and Mª Ángeles Moraga

    work page doi:10.48550/arxiv.2104.14662

  15. [15]

    Information and Software Technology 56(8), 839–849

    A systematic mapping study of software reliability modeling. Information and Software Technology 56(8), 839–849. https://doi.org/10.1016/j.infsof.2014.03.006. Gale, D and LS Shapley

    work page doi:10.1016/j.infsof.2014.03.006 2014

  16. [16]

    The American Mathematical Monthly 69(1), 9–15

    College admissions and the stability of marriage. The American Mathematical Monthly 69(1), 9–15. https://doi.org/10.1080/00029890.1962.11989827. Garcia, Flavio D and Jaap-Henk Hoepman

    work page doi:10.1080/00029890.1962.11989827 1962

  17. [17]

    In Workshop on Secure Multiparty Computations (SMP), Amsterdam, The Netherlands

    Off-line karma: Towards a decentralized currency for peer-to-peer and grid applications (brief abstract). In Workshop on Secure Multiparty Computations (SMP), Amsterdam, The Netherlands. https://doi.org/ 10.1007/11496137_25. Gorokh, Artur, Siddhartha Banerjee, and Krishnamurthy Iyer

    work page doi:10.1007/11496137_25

  18. [18]

    Mathematics of Operations Research 46(3), 835–855

    From monetary to nonmonetary mechanism design via artificial currencies. Mathematics of Operations Research 46(3), 835–855. https://doi.org/10.1287/moor.2020.1098. Economies 2024, 1, 0 23 of 24 Griffiths, Thomas L and Mark Steyvers

    work page doi:10.1287/moor.2020.1098 2020

  19. [19]

    Proceedings of the National academy of Sciences 101(suppl_1), 5228–5235

    Finding scientific topics. Proceedings of the National academy of Sciences 101(suppl_1), 5228–5235. https://doi.org/10.1073/pnas.0307752101. Hannigan, Timothy R, Richard FJ Haans, Keyvan Vakili, Hovig Tchalian, Vern L Glaser, Milo Shaoqing Wang, Sarah Kaplan, and P Devereaux Jennings

    work page doi:10.1073/pnas.0307752101

  20. [20]

    Academy of Management Annals 13(2), 586–632

    Topic modeling in management research: Rendering new theory from textual data. Academy of Management Annals 13(2), 586–632. https://doi.org/10.5465/annals.2017.0099. Hardin, Garrett

    work page doi:10.5465/annals.2017.0099 2017

  21. [21]

    , year 1968

    The tragedy of the commons: the population problem has no technical solution; it requires a fundamental extension in morality. Science 162(3859), 1243–1248. https://doi.org/10.1126/science.162.3859.1243. Harris, Joshua D, Carmen E Quatman, Maurice M Manring, Robert A Siston, and David C Flanigan

    work page doi:10.1126/science.162.3859.1243

  22. [23]

    arXiv:https://doi.org/10.1086/260757 doi:10.1086/260757 Alexander S

    The efficient allocation of individuals to positions. Journal of Political economy 87(2), 293–314. https://doi.org/10.1086/260757. Johnson, Kris, David Simchi-Levi, and Peng Sun

    work page doi:10.1086/260757

  23. [24]

    Operations Research 62 (3), 524–534

    Analyzing scrip systems. Operations Research 62 (3), 524–534. https: //doi.org/10.1287/opre.2014.1260. Karaenke, Paul, Martin Bichler, Soeren Merting, and Stefan Minner

    work page doi:10.1287/opre.2014.1260 2014

  24. [25]

    European Journal of Operational Research 286(3), 897–907

    Non-monetary coordination mechanisms for time slot allocation in warehouse delivery. European Journal of Operational Research 286(3), 897–907. https://doi.org/10.1016/j.ejor.2020.03

    work page doi:10.1016/j.ejor.2020.03 2020

  25. [26]

    Journal of Economic Theory 191 , 105159

    Organ donation with vouchers. Journal of Economic Theory 191 , 105159. https://doi.org/10.1016/j.jet.2020.105159. Kregel, Jan

    work page doi:10.1016/j.jet.2020.105159 2020

  26. [27]

    Levy Economics Institute, Working Papers Series

    The economic problem: from barter to commodity money to electronic money. Levy Economics Institute, Working Papers Series. https://doi.org/10.2139/ssrn.3772941. Larson, Paul

    work page doi:10.2139/ssrn.3772941

  27. [28]

    Encyclopedia of psychology and religion, 1318–1318

    Karma. Encyclopedia of psychology and religion, 1318–1318. https://doi.org/10.1007/978-3-030-24348-7. Mastronarde, Nicholas, Viral Patel, Jie Xu, Lingjia Liu, and Mihaela Van Der Schaar

    work page doi:10.1007/978-3-030-24348-7

  28. [29]

    IEEE Transactions on Mobile Computing 15 (6), 1569–1585

    To relay or not to relay: Learning device-to-device relaying strategies in cellular networks. IEEE Transactions on Mobile Computing 15 (6), 1569–1585. https: //doi.org/10.1109/TMC.2015.2465379. Mitra, Arindam and Muthucumaru Maheswaran

    work page doi:10.1109/tmc.2015.2465379 2015

  29. [30]

    Journal of Economic Theory 165, 209–241

    Assignment problems with complementarities. Journal of Economic Theory 165, 209–241. https://doi.org/10.1016/j.jet.2016.04.006. Oliveira, Pedro, Paulo Ferreira, and Luís Veiga

    work page doi:10.1016/j.jet.2016.04.006 2016

  30. [31]

    In Advances in Grid and Pervasive Computing: 6th International Conference, GPC 2011, Oulu, Finland, May 11-13,

    Gridlet economics: resource management models and policies for cycle-sharing systems. In Advances in Grid and Pervasive Computing: 6th International Conference, GPC 2011, Oulu, Finland, May 11-13,

    work page 2011

  31. [32]

    Proceedings 6, pp. 72–83. Springer. https://doi.org/10.1007/978-3-642-20754-9_9. Paccagnan, Dario, Rahul Chandan, and Jason R Marden

    work page doi:10.1007/978-3-642-20754-9_9

  32. [33]

    Annual Reviews in Control 53, 315–328

    Utility and mechanism design in multi-agent systems: An overview. Annual Reviews in Control 53, 315–328. https://doi.org/10.1016/j.arcontrol.2022.02.002. Pedroso, Leonardo, WPMH Heemels, and Mauro Salazar

    work page doi:10.1016/j.arcontrol.2022.02.002 2022

  33. [34]

    Urgency-aware routing in single origin-destination itineraries through artificial currencies. pp. 4142–4149. https://doi.org/10.1109/CDC49753.2023.10383739. Peterson, E Wesley F

    work page doi:10.1109/cdc49753.2023.10383739 2023

  34. [35]

    Piccoli, Benedetto

    https: //doi.org/10.3390/socsci6040147. Piccoli, Benedetto

    work page doi:10.3390/socsci6040147

  35. [36]

    Open Mathematics 21(1), 20220585

    Control of multi-agent systems: Results, open problems, and applications. Open Mathematics 21(1), 20220585. https://doi.org/10.1515/math-2022-0585. Porter, Martin F

    work page doi:10.1515/math-2022-0585 2022

  36. [37]

    Program 14(3), 130–137

    An algorithm for suffix stripping. Program 14(3), 130–137. https://doi.org/10.1108/eb046814. Prendergast, Canice

    work page doi:10.1108/eb046814

  37. [38]

    Journal of Political Economy 130(8), 1993–2017

    The allocation of food to food banks. Journal of Political Economy 130(8), 1993–2017. https://doi.org/10.108 6/720332. Roth, Alvin E, Tayfun Sönmez, and M Utku Ünver

    work page 1993

  38. [39]

    The Quarterly journal of economics 119 (2), 457–488

    Kidney exchange. The Quarterly journal of economics 119 (2), 457–488. https://doi.org/10.1162/0033553041382157. Shen, Cong, Jie Xu, and Mihaela van der Schaar

    work page doi:10.1162/0033553041382157

  39. [40]

    In 2014 IEEE Global Communications Conference, pp

    Silence is gold: Strategic small cell interference management using tokens. In 2014 IEEE Global Communications Conference, pp. 4359–4365. https://doi.org/10.1109/GLOCOM.2014.7037493. Skowron, Piotr and Krzysztof Rzadca

    work page doi:10.1109/glocom.2014.7037493 2014

  40. [41]

    In Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures, pp

    Non-monetary fair scheduling: a cooperative game theory approach. In Proceedings of the twenty-fifth annual ACM symposium on Parallelism in algorithms and architectures, pp. 288–297. https://doi.org/10.1145/2486159.24 86169. Sönmez, Tayfun, M Utku Ünver, and M Bumin Yenmez

    work page doi:10.1145/2486159.24

  41. [42]

    American Economic Review 110 (7), 2198–2224

    Incentivized kidney exchange. American Economic Review 110 (7), 2198–2224. https://doi.org/10.1257/aer.20170950. van de Sanden, DCAN

    work page doi:10.1257/aer.20170950

  42. [43]

    Clinical Orthopaedics and Related Research (1976-2007) 455, 23–29

    How to write a systematic review. Clinical Orthopaedics and Related Research (1976-2007) 455, 23–29. https://doi.org/10.1177/0363546513497567. Xu, Jie and Mihaela van der Schaar

    work page doi:10.1177/0363546513497567 1976

  43. [44]

    IEEE Transactions on Communications 61(7), 2924–2935

    Token system design for autonomic wireless relay networks. IEEE Transactions on Communications 61(7), 2924–2935. https://doi.org/10.1109/TCOMM.2013.061013.120777. Economies 2024, 1, 0 24 of 24 Zhao, BY, John CS Lui, and D-M Chiu

    work page doi:10.1109/tcomm.2013.061013.120777 2013

  44. [45]

    In IEEE INFOCOM 2009, pp

    Analysis of adaptive incentive protocols for p2p networks. In IEEE INFOCOM 2009, pp. 325–333. IEEE. https://doi.org/10.1109/INFCOM.2009.5061936. Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the e...

    work page doi:10.1109/infcom.2009.5061936 2009