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Dissertations / Theses on the topic 'Resource allocation'

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1

AuYoung, Alvin. "Practical market-based resource allocation." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3397175.

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Thesis (Ph. D.)--University of California, San Diego, 2010.<br>Title from first page of PDF file (viewed March 29, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 146-155).
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2

Choueiry, Berthe Y. Choueiry Berthe Yazid. "Abstraction methods for resource allocation /." [S.l.] : [s.n.], 1994. http://library.epfl.ch/theses/?nr=1292.

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3

Muñoz, i. Solà Víctor. "Robustness on resource allocation problems." Doctoral thesis, Universitat de Girona, 2011. http://hdl.handle.net/10803/7753.

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En problemes d'assignació de recursos, normalment s'han de tenir en compte les incerteses que poden provocar canvis en les dades inicials. Aquests canvis dificulten l'aplicabilitat de les planificacions que s'hagin fet inicialment.<br/>Aquesta tesi se centra en l'elaboració de tècniques que consideren la incertesa alhora de cercar solucions robustes, és a dir solucions que puguin continuar essent vàlides encara que hi hagi canvis en l'entorn. Particularment, introduïm el concepte de robustesa basat en reparabilitat, on una solució robusta és una que pot ser reparada fàcilment en cas que hi hag
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4

Tureli, Didem Kivanc. "Resource allocation for multicarrier communications /." Thesis, Connect to this title online; UW restricted, 2005. http://hdl.handle.net/1773/6068.

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5

Lai, John Kwang. "Truthful and Fair Resource Allocation." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10928.

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How should we divide a good or set of goods among a set of agents? There are various constraints that we can consider. We consider two particular constraints. The first is fairness - how can we find fair allocations? The second is truthfulness - what if we do not know agents valuations for the goods being allocated? What if these valuations need to be elicited, and agents will misreport their valuations if it is beneficial? Can we design procedures that elicit agents' true valuations while preserving the quality of the allocation? We consider truthful and fair resource allocation procedures th
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6

Reid, Jane Margaret. "Resource allocation during avian incubation." Thesis, University of Glasgow, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392460.

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7

Owen, Robert Wyn. "Strategies for stochastic resource allocation." Thesis, University of Newcastle Upon Tyne, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.315563.

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8

Robinson, Edward Robert. "Resource allocation via competing marketplaces." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/1647/.

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This thesis proposes a novel method for allocating multi-attribute computational resources via competing marketplaces. Trading agents, working on behalf of resource consumers and providers, choose to trade in resource markets where the resources being traded best align with their preferences and constraints. Market-exchange agents, in competition with each other, attempt to provide resource markets that attract traders, with the goal of maximising their profit. Because exchanges can only partially observe global supply and demand schedules, novel strategies are required to automate their searc
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9

Nguyen, Quang (Quang Duc) 1972. "Optimizing engineering analysis resource allocation." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/84521.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; in conjunction with the Leaders for Manufacturing Program at MIT, 2001.<br>Includes bibliographical references (p. 72-73).<br>by Quang Nguyen.<br>S.M.<br>M.B.A.
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10

Lien, Yuan-Chuan. "Resource allocation in matching markets /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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11

Li, Guoqing. "Resource allocation in OFDMA networks /." Thesis, Connect to this title online; UW restricted, 2004. http://hdl.handle.net/1773/6136.

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12

Feldkord, Björn [Verfasser]. "Mobile resource allocation / Björn Feldkord." Paderborn : Universitätsbibliothek, 2020. http://d-nb.info/1204129762/34.

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13

Marty, Antoinette T. "Distributive Justice in Resource-Allocation." W&M ScholarWorks, 2002. https://scholarworks.wm.edu/etd/1539626381.

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14

Rebai, Salma. "Resource allocation in Cloud federation." Thesis, Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0006/document.

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L'informatique en nuage (Cloud Computing) est un modèle à grande échelle et en évolution continue, permettant le provisionnement et l'utilisation des ressources informatiques à la demande, selon un modèle rentable de facturation à l'usage "pay-as-you-go". Ce nouveau paradigme a rapidement révolutionné l'industrie IT et a permis de nouvelles tendances en matière de prestation de services informatiques, y compris l'externalisation des infrastructures IT vers des prestataires tiers spécialisés. Cependant, la nature multi-utilisateur des plateformes d'hébergement, ainsi que la complexité des deman
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15

Rebai, Salma. "Resource allocation in Cloud federation." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2017. http://www.theses.fr/2017TELE0006.

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L'informatique en nuage (Cloud Computing) est un modèle à grande échelle et en évolution continue, permettant le provisionnement et l'utilisation des ressources informatiques à la demande, selon un modèle rentable de facturation à l'usage "pay-as-you-go". Ce nouveau paradigme a rapidement révolutionné l'industrie IT et a permis de nouvelles tendances en matière de prestation de services informatiques, y compris l'externalisation des infrastructures IT vers des prestataires tiers spécialisés. Cependant, la nature multi-utilisateur des plateformes d'hébergement, ainsi que la complexité des deman
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16

Mendoza, Charles E. "Resource planning and resource allocation in the construction industry." Thesis, Monterey, California. Naval Postgraduate School, 1995. http://hdl.handle.net/10945/26222.

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17

Vilajosana, Guillén Xavier. "Distributed Resource Allocation for Contributory Systems." Doctoral thesis, Universitat Oberta de Catalunya, 2009. http://hdl.handle.net/10803/9124.

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La tesis presenta una aproximació a un conjunt de tècniques per permetre l'extensió de les capacitats computacionals, sota demanada, en comunitats formades per usuaris d'Internet que volen agregar els seus recursos per aconseguir una finalitat comuna. Aquest tipus de comunitats, emergeixen com a noves formes d'organització gràcies a l'increment de les capacitats computacionals i l'ampla de banda. La computació voluntaria com la que es dona en sistemes com SETI@home, Grids col.laboratius com OurGrid o LaCOLLA, Ad-hoc i Grids d'igual a igual com P-Grid o X-Grid d'Apple, Grids Oberts com els ad
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18

Eriksson, Kristoffer. "Dynamic Resource Allocation in Wireless Networks." Thesis, Linköping University, Communication Systems, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56776.

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<p>In this thesis we investigate different algorithms for dynamic resource allocation in wireless networks. We introduce a general framework for modeling systems whichis applicable to many scenarios. We also analyze a specific scenario with adaptivebeamforming and show how it fits into the proposed framework. We then studytwo different resource allocation problems: Quality-of-Service (QoS) constraineduser scheduling and sum-rate maximization. For user scheduling, we select some“good” set of users that is allowed to use a specific resource. We investigatedifferent algorithms with varying comple
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19

Farrokh, Arsalan. "Stochastic resource allocation in wireless networks." Thesis, University of British Columbia, 2007. http://hdl.handle.net/2429/31303.

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This thesis presents several efficient and adaptive resource allocation schemes in wireless networks under the framework of Markov Decision Problem (MDP). In particular, we formulate meaningful trade-offs for three specific resource allocation problems as MDPs and show that their solutions exhibit certain special structures. In each case, by utilizing the underlying structure, we present a resource allocation solution that is computationally inexpensive and is scalable in terms of the system parameters. First, we present opportunistic algorithms in scheduling High Speed Downlink Packet Access
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20

Karlsson, Maria. "Market based programming and resource allocation." Licentiate thesis, Uppsala universitet, Avdelningen för datalogi, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-86157.

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The subject of this thesis is the concept of market-oriented programming and market protocols. We want to solve an allocation problem where some resources are to be divided among a number of agents. Each agent has a utility function telling how much the current allocation is worth for it. The goal is to allocate the resources among the agents in a way that maximizes the sum of the utilities of all agents. To solve this problem we use the concept of markets to create mechanisms for computational implementation. To achieve the advantages of market-oriented programming, we have to consider the co
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21

Lessinnes, Mathieu. "Resource allocation for cooperative cognitive radios." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209352.

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Resource allocation consists in allocating spectrum and power on every link of a network, possibly under power and rate requirements. In the context of cognitive radios, almost 15 years of research produced an impressive amount of theoretical contributions, exploring a wide range of possibilities. However, despite the ever-growing list of imaginable scenarios, we observe in Chapter 2 that most of these studies are based on similar working hypotheses. Our first contribution is to challenge some of these hypotheses, and propose a novel resource allocation scheme. Sticking to realistic assumption
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22

Moore, Brandon Joseph. "Cooperative strategies for spatial resource allocation." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1180971769.

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23

Dahlman, Lena. "Resource aquisition and allocation in lichens." Doctoral thesis, Umeå : Univ, 2003. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-115.

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24

Thanabalasingham, Thayaparan. "Resource allocation in OFDM cellular networks /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00003227.

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25

Demirkol, Mehmet Fatih. "Resource allocation for interfering mimo links." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/14799.

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26

Menich, Ronald Paul. "Resource allocation in parallel processing systems." Diss., Georgia Institute of Technology, 1991. http://hdl.handle.net/1853/28049.

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27

Panigrahi, Saswat. "Resource allocation for multicarrier DSL systems." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=83879.

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In this thesis, resource allocation problems relevant to multicarrier DSL environments are considered. The resources in a multicarrier DSL environment are bandwidth (i.e., subcarriers), the power allocated, the bits loaded and possibly the coding scheme used on each subcarrier. The major impairments in DSL environments are crosstalk and external noise . Crosstalk (predictable and controllable) is the interference caused by other DSL users sharing the same medium. External Noise (unpredictable and uncontrollable) consists of relatively high energy bursts due to electromagnetic interferen
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28

Farrar, Timothy Martin. "Resource allocation in systems of queues." Thesis, University of Cambridge, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.260462.

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29

Ferreira, Pena Do Amaral J. A. "Aspects of optimal sequential resource allocation." Thesis, University of Oxford, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370266.

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30

Sun, Fanglei, and 孫芳蕾. "Resource allocation in broadband wireless networks." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40887868.

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31

Mortimer, David. "RESOURCE ALLOCATION USING TOUCH AND AUDITION." Doctoral diss., University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4332.

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When people multi-task with inputs that demand attention, processing, andencoding, sensory interference is possible at almost any level. Multiple Resource Theory (MRT) suggests that such interference may be avoided by drawing from separate pools of resources available when using different sensory channels, memory processes, and even different response modes. Thus, there should be advantages in dividing tasks among different sensory channels to tap independent pools of attentional resources. For example, people are better with two tasks using the eye and ear, than when using two auditory or two
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32

Dolina, George S. (George Sidrach) 1977. "Intelligent resource allocation in distributed collaboration." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80060.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.<br>Includes bibliographical references (leaf 39).<br>by George S. Dolina.<br>S.B.and M.Eng.
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33

Xu, Yunjian. "Efficiency loss in resource allocation games." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77098.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2012.<br>Cataloged from department-submitted PDF version of thesis. This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certified thesis is available in the Institute Archives and Special Collections.<br>Includes bibliographical references (p. 167-176).<br>The overarching goals of this thesis are to quantify the efficiency loss due to market participant strategic behavior, and to design proper pricing mechanisms tha
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34

Ku, May. "Resource allocation algorithms in AON network." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/35956.

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35

Suárez, Real Alberto. "Resource allocation for multiuser uplink systems." Nice, 2010. http://www.theses.fr/2010NICE4077.

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Dans cette thèse nous étudierons l’allocation de puissance optimale pour des systèmes de communication multi utilisateur en lien ascendant. L’ordre de décodage et l’allocation de puissance optimaux pour minimiser la consommation totale de puissance sont déterminés lorsque les utilisateurs ont des contraintes de débit et que la suppression d’interférence est utilisée dans la station de base. De plus, nous chercherons à déterminer dans quelles conditions il est possible de faire une allocation distribuée en ne se basant que sur les connaissances statistiques du système. Par la suite nous considé
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36

Zhou, Jihai. "Resource allocation in ad hoc networks." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6928.

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Unlike the centralized network, the ad hoc network does not have any central administrations and energy is constrained, e.g. battery, so the resource allocation plays a very important role in efficiently managing the limited energy in ad hoc networks. This thesis focuses on the resource allocation in ad hoc networks and aims to develop novel techniques that will improve the network performance from different network layers, such as the physical layer, Medium Access Control (MAC) layer and network layer. This thesis examines the energy utilization in High Speed Downlink Packet Access (HSDPA) sy
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37

Sun, Fanglei. "Resource allocation in broadband wireless networks." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B40887868.

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38

Dhamdhere, Ashay. "Resource allocation in interference limited systems /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2004. http://wwwlib.umi.com/cr/ucsd/fullcit?p3129956.

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39

Nsoh, Stephen Atambire. "Resource allocation in WiMAX mesh networks." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2012, 2012. http://hdl.handle.net/10133/3371.

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The IEEE 802.16 standard popularly known as WiMAX is at the forefront of the technological drive. Achieving high system throughput in these networks is challenging due to interference which limits concurrent transmissions. In this thesis, we study routing and link scheduling inWiMAX mesh networks. We present simple joint routing and link scheduling algorithms that have outperformed most of the existing proposals in our experiments. Our session based routing and links scheduling produced results approximately 90% of a trivial lower bound. We also study the problem of quality of service (QoS) pr
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40

Gonzalez, Roxana M. "Individual Versus Group Resource-Allocation Performance." W&M ScholarWorks, 2001. https://scholarworks.wm.edu/etd/1539626341.

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41

Zhang, Peter Yun. "Dynamic and robust network resource allocation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123565.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Thesis: Ph. D. in Engineering Systems, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 139-150).<br>Networks are essential modeling tools in engineering, business, and public policy research. They can represent physical connections, such as manufacturing processes. They can be relatio
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42

Petrova, Marina [Verfasser]. "Cognitive resource manager framework for optimal resource allocation / Marina Petrova." Aachen : Hochschulbibliothek der Rheinisch-Westfälischen Technischen Hochschule Aachen, 2011. http://d-nb.info/1014458196/34.

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43

Busacca, Fabio Antonino. "AI for Resource Allocation and Resource Allocation for AI: a two-fold paradigm at the network edge." Doctoral thesis, Università degli Studi di Palermo, 2022. https://hdl.handle.net/10447/573371.

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5G-and-beyond and Internet of Things (IoT) technologies are pushing a shift from the classic cloud-centric view of the network to a new edge-centric vision. In such a perspective, the computation, communication and storage resources are moved closer to the user, to the benefit of network responsiveness/latency, and of an improved context-awareness, that is, the ability to tailor the network services to the live user's experience. However, these improvements do not come for free: edge networks are highly constrained, and do not match the resource abundance of their cloud counterparts. In such a
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44

Mohamed, Omer Yusuf Adam. "Resource Allocation for Improved Performance and Resource Efficiency in Cloud Computing." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17596.

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Allocating resources for applications is attributed to cost-efficiency measures only in the light of two other factors of paramount importance, namely application performance achieved and resource efficiency associated. Achieving satisfactory performance within QoS requirements is indeed the foremost objective to attain for any given application. However, the efficiency obtained for the relevant deployed resources is equally critical as it determines to what extent a resource allocation decision was comparable to optimality, and hence may be perceived cost-efficient in that regard. Achieving h
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45

Urlichs, Robert. "Patterns of resource allocation decisions in organisations /." Wiesbaden : Deutscher Universitäts-Verlag, 2006. http://opac.nebis.ch/cgi-bin/showAbstract.pl?u20=3835002090.

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46

Caceres-Delpiano, Julio F. "Testing economic models of household resource allocation." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2905.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Economics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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47

Harell, Dustin Ashley. "Resource conservation and allocation via process integration." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/485.

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Throughout the process industry, the conservation and allocation of mass and energy resources plays a pivotal role in the site wide optimization of a plant. Typically, raw materials are transformed into products, byproducts and wastes through pathways involving heating/cooling, pressure changes, mixing, reactions and separations. These pathways often require the addition or removal of energy from the system. The optimal management of such a system therefore requires conserving resources through the appropriate allocation of materials and energy. In a typical plant, there are both mass and en
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48

Li, Cai. "Simulator for Resource Allocation in Hybrid Networks." Thesis, Linköping University, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2808.

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<p>Much work has been done in simulating traditional cellular networks. But with the incoming of ad-hoc network technology, the next generation networks will employ hybrid network architectures using both cellular and ad-hoc networking concepts. </p><p>We investigate how to create a simulator being able to simulate a hybrid wireless network. This involves setting up a cellular network and an ad-hoc network respectively. However, the most important thing is how to integrate them seamlessly. </p><p>Fortunately, there has already been a simulator called SIMRA which simulates a UMTS cellular netwo
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Lindblom, Johannes. "Resource Allocation on the MISO Interference Channel." Licentiate thesis, Linköping University, Linköping University, Communication Systems, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55102.

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<p>The need for wireless communications has increased during the last decades. To increase the data rates of the communication links there is a need of allocating larger frequency bands. These bands are strictly regulated and the majority of the frequencies are allocated to licensed systems. The splitting of the bandwidth is orthogonal, which mean that the different systems are not interfering each other. But, orthogonal splitting is inefficient since it does not exploit all degrees of freedom in the wireless channels.</p><p>There are also unlicensed bands where different systems co-exist and
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50

An, Na. "Resource Modeling and Allocation in Competitive Systems." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/6997.

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This thesis includes three self-contained projects: In the first project Bidding strategies and their impact on the auctioneer's revenue in combinatorial auctions, focusing on combinatorial auctions, we propose a simple and efficient model for evaluating the value of any bundle given limited information, design bidding strategies that efficiently select desirable bundles, and evaluate the performance of different bundling strategies under various market settings. In the second project Retailer shelf-space management with promotion effects, promotional investment effects are integrated with
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