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Multi-resource Allocation with Unknown Participants
2011
2011 Second International Conference on Networking and Computing
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We define the problem of multi-resource allocation, which is an extension of the dining philosophers problem. We apply this problem to systems where participants (here called clients) are unknown. ...
We propose a solution for 2-resource allocation in static networks, then, explain how to modify our protocol to handle client dynamicity. ...
In Section III, we present a two-resource allocation algorithm for systems with unknown participants. In Section IV, we explain how to handle dynamicity of clients. ...
doi:10.1109/icnc.2011.37
dblp:conf/ic-nc/DattaLDKP11
fatcat:2iykgmyml5clbedzhjgsvw7w3e
LIAISON Evaluation & Impact Assessment Tool: #19 Evaluator self-assessment: unconscious bias
[article]
2022
Zenodo
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» Invite participants to discuss how important these criteria are in self-nominating for/being allocated to a task. ...
In this tool, we set out some of the key learnings from these resources that are particularly relevant to interactive innovation and the multi-actor approach. ...
doi:10.5281/zenodo.6401780
fatcat:xwlvmaasujfdnl4j2nbwni3azy
Introducing a Distributed Cloud Architecture with Efficient Resource Discovery and Optimal Resource Allocation
2013
2013 IEEE Ninth World Congress on Services
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Resource discovery and allocation is critical in designing an efficient and practical distributed cloud. We propose using multi-valued distributed hash tables for efficient resource discovery. ...
Leveraging the fact that there are many users providing resources such as CPU and memory, we define these resources under one key to easily locate devices with equivalent resources. ...
If enough nodes are found, start with resource allocation. ...
doi:10.1109/services.2013.68
dblp:conf/services/KhethavathTCL13
fatcat:23wirhafwzdrzmidnvhrzrky4y
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks
2021
IEEE Journal on Selected Areas in Communications
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RESOURCE MANAGEMENT AND NETWORK OPTIMIZATION Three papers in this issue address resource allocation using machine learning. ...
The paper, titled "Situation-aware resource allocation for multi-dimensional intelligent multiple access: A proactive deep learning framework," by Liu et al., considers a time-division-duplex downlink ...
doi:10.1109/jsac.2020.3036785
fatcat:pdmsdg6zrreqzgqye3qrj5f3na
Market-based control of computational systems: introduction to the special issue
2009
Autonomous Agents and Multi-Agent Systems
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We thank Michael Luck and five reviewers unknown to we three editors for helping with this process. ...
Lewis, Paul Marrow and Xin Yao (Lewis et al, 2010) , proposes a novel mechanism for resource allocation in fully decentralized systems with self-interested agents, a mechanism which requires neither a ...
doi:10.1007/s10458-009-9114-9
fatcat:m5mio2duzvdxzed2d77se7yf6u
Exposing market mechanism design trade-offs via multi-objective evolutionary search
2013
2013 IEEE Congress on Evolutionary Computation
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Market mechanisms are a means by which resources in contention can be allocated between contending parties, both in human economies and those populated by software agents. ...
This application of NSGA-II exposes tradeoffs between objectives, revealing relationships between them that were otherwise unknown for this mechanism class. ...
Moreover, in multi-agent systems research, specifically tailored towards resource allocation problems in decentralised systems, employing market mechanisms for such allocations is becoming commonplace ...
doi:10.1109/cec.2013.6557742
dblp:conf/cec/ChandraALYT13
fatcat:lnm566pvgzhv3d5xbwqhcxo4ym
A Comprehensive Survey of Incentive Mechanism for Federated Learning
[article]
2021
arXiv
pre-print
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Thus, it is quite crucial to inspire more participants to contribute their valuable resources with some payments for federated learning. ...
Federated learning utilizes various resources provided by participants to collaboratively train a global model, which potentially address the data privacy issue of machine learning. ...
are unknown for the task publisher like the base station. ...
arXiv:2106.15406v1
fatcat:7v7adaw5wnbldhykma6mhgpnty
Cloud Flat Rates Enabled via Fair Multi-resource Consumption
[chapter]
2016
Lecture Notes in Computer Science
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This paper defines fair multi-resource cloud sharing and details its enforcement to enable attractive cloud sharing schemes that, particularly, enable cloud flat rates. ...
By simulating the GM's application to adapt resource allocations of cloud hosts, it is shown how fairness between cloud customers can be achieved and thereby attractive cloud flat rates offered. ...
In economics, fairness of multi-resource allocations is defined by envy-freeness [4] , i.e., no consumer prefers to swap his bundle with another. ...
doi:10.1007/978-3-319-39814-3_3
fatcat:2mvp7h6b3ze2rnmiln343hrd6m
How to Improve Water Resources Allocation Efficiency: A Two-Stage Performance-Based Allocation Mechanism
2019
Sustainability
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Besides, the total water resources invested into production or environment is two water users' private information, which is unknown to the governor. ...
Hence, this paper constructs a two-stage performance-based allocation mechanism to motivate two competing water users (referred to as the agents) to act in accordance with the interests of the governor ...
(v) All participants are risk-neutral in this paper, with risk-aversion or risk-preference to be studied in the future. ...
doi:10.3390/su11216021
fatcat:26a6oukd3rftjj2vzfx4ru4yry
It's the thought that counts over time: The interplay of intent, outcome, stewardship, and legacy motivations in intergenerational reciprocity
2017
Journal of Experimental Social Psychology
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Our research highlights the role of making the intention of past generations transparent in intergenerational resource allocations. ...
We demonstrate that even in the presence of undesirable outcomes, people use previous generations' intentions to guide their own decisions for allocating resources to future generations. ...
In Experiments 1A-B, we explored H1 using a lab study involving allocations of real money and natural resource. Experiment 2 replicates the findings in the context of natural resource allocation. ...
doi:10.1016/j.jesp.2017.07.006
fatcat:tjclikt24jhcvjdbjtbnh4aeka
Management of large-scale multimedia conferencing
1998
Multimedia Computing and Networking 1999
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A suggested solution for the problem of Capacity Resource Management (CRM) allocation is the Extended Max Min Fairness (EMMF) criterion, an extension of the well-known Max Min Fairness criterion. ...
The participants' requirements for these resources are de ned and translated in terms of Quality of Service (QoS) requirements and the fairness criteria. ...
This allocation should be feasible, fair and humanly reasonable. The multi-party video conferencing management system faces con ict in two main system resources, conference time and network capacity. ...
doi:10.1117/12.333802
fatcat:mesf6qrmy5dqhexomptl5ohfq4
Multi-attribute auctions with different types of attributes: Enacting properties in multi-attribute auctions
2014
Expert systems with applications
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The mechanism is then tested in a simulated manufacturing environment and compared with other existing auction allocation methods. ...
The paper exemplifies the behaviour of VMA2 describing how an egalitarian allocation can be achieved. ...
Figure 7 : 7 Economic amount spent by agents to allocate tasks to resources using different task allocation methods: Vickrey multi-attribute auction (blue), VMA2 (red), choosing the cheapest resource provider ...
doi:10.1016/j.eswa.2014.02.023
fatcat:awbamu4wcnagdnrym7l2x6pbti
Multi-language system design
1999
Proceedings of the conference on Design, automation and test in Europe - DATE '99
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The first is based on the computation models underlying the languages while the second deals with the specification languages themselves. ...
The design of large systems, like a mobile telecommunication terminal or the electronic parts of an airplane or a car, may require the participation of several groups belonging to different companies and ...
Combining such different execution models in a single scheduling and resource allocation strategy with verifiable worst case behavior which exploits the specific information provided by the different models ...
doi:10.1145/307418.307591
fatcat:4jrnppi3irc6riogvpoeulpala
Multi-dimensional fairness for auction-based resource allocation
2015
Knowledge-Based Systems
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Multi-attribute resource allocation problems involves the allocation of resources on the basis of several attributes, therefore, the definition of a fairness method for this kind of auctions should be ...
The results pointed that multi-dimensional fairness incentives agents to remain in the market whilst it improves the equity of the wealth distribution without compromising the quality of the allocation ...
Conclusions Fairness mechanisms for multi-attribute resource allocation problems, from a multi-dimensional perspective, need to take into account all the attributes which affect the allocation since focusing ...
doi:10.1016/j.knosys.2014.09.009
fatcat:6mwnfzssyrdgvox27nvr3iao5a
LO09: Population-based analysis of the effect of a comprehensive, systematic change in an emergency medical services resource allocation plan on 24 hour mortality
2018
CJEM: Canadian Journal of Emergency Medical Care
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Resource allocation planning (RAP) for emergency medical services (EMS) systems determines optimal resources for patient needs in order to minimize morbidity and mortality. ...
It is unknown how the modifications will affect outcomes of EMS cases. ...
Keywords: health outcomes, patient-centred care, quality measurement Introduction: Resource allocation planning (RAP) for emergency medical services (EMS) systems determines optimal resources for patient ...
doi:10.1017/cem.2018.71
fatcat:v4xicimljfdpxamcrvey4wagae
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