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Relevant bibliographies by topics / Resource allocation – Mathematical models

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Academic literature on the topic 'Resource allocation – Mathematical models'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 March 2023

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Journal articles on the topic "Resource allocation – Mathematical models"

1

Azibek, B., S. Kusdavletov, D. Aresh, Ph Quoc-Viet, and B. Maham. "DEFENDER-ATTACKER MODELS FOR RESOURCE ALLOCATION IN INFORMATION SECURITY." Scientific Journal of Astana IT University, no. 8 (December 29, 2021): 4–11. http://dx.doi.org/10.37943/aitu.2021.96.94.001.

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Today, information security in defender-attacker game models is getting more attention from the research community. A game-theoretic approach applied in resource allocation study requires security in information for successive defensive strategy against attackers. For the defensive side players, allocating resources effectively and appropriately is essential to maintain the winning position against the attacking side. It can be possible by making the best response to the attack, i.e., by defining the most effective secure defensive strategy. This present work develops one defender – two attack

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Karpenko, М., and О. Stelma. "RESOURCE ALLOCATION MODELS IN HIERARCHICAL MANAGEMENT SYSTEMS." Municipal economy of cities 1, no. 154 (2020): 120–25. http://dx.doi.org/10.33042/2522-1809-2020-1-154-120-125.

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The article proposes a mathematical model of the hierarchical system of volume-dynamic resource allocation. The model describes resource consumption processes in multi-layered systems and allows us to view the management of such systems from a single perspective, to reflect the interrelationship of decisions formed at different levels of the hierarchy. According to the proposed model, a production (or business) system is considered as a large dynamic resource allocation system that is characterized by the interaction of three components: processes, resources, and time (R, P, and T.). Each of t

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Goelzer, Anne, and Vincent Fromion. "Resource allocation in living organisms." Biochemical Society Transactions 45, no. 4 (2017): 945–52. http://dx.doi.org/10.1042/bst20160436.

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Quantitative prediction of resource allocation for living systems has been an intensive area of research in the field of biology. Resource allocation was initially investigated in higher organisms by using empirical mathematical models based on mass distribution. A challenge is now to go a step further by reconciling the cellular scale to the individual scale. In the present paper, we review the foundations of modelling of resource allocation, particularly at the cellular scale: from small macro-molecular models to genome-scale cellular models. We enlighten how the combination of omic measurem

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BURDETT, ROBERT L., and ERHAN KOZAN. "THE ASSIGNMENT OF INDIVIDUAL RENEWABLE RESOURCES IN SCHEDULING." Asia-Pacific Journal of Operational Research 21, no. 03 (2004): 355–77. http://dx.doi.org/10.1142/s021759590400028x.

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Resource constrained scheduling problems are concerned with the allocation of limited resources to tasks over time. The solution to these problems is often a sequence, resource allocation, and schedule. When human workers are incorporated as a renewable resource, the allocation is defined as the number of workers assigned to perform each task. In practice, however, this solution does not adequately address how individual workers are to be assigned to tasks. This paper, therefore, provides mathematical models and heuristic techniques for solving this multi-period precedence constrained assignme

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Russell, D. G. "RESOURCE ALLOCATION IN AGRICULTURAL RESEARCH USING SOCIO-ECONOMIC EVALUATION AND MATHEMATICAL MODELS*." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 23, no. 2 (2008): 29–52. http://dx.doi.org/10.1111/j.1744-7976.1975.tb00949.x.

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Ahrari, Amir, and Ali Haghani. "A New Decision Support System for Optimal Integrated Project Scheduling and Resource Planning." International Journal of Information Technology Project Management 10, no. 3 (2019): 18–33. http://dx.doi.org/10.4018/ijitpm.2019070102.

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Two scheduling practices are commonly used depending on the availability of resources. When resources are not expensive, activities are scheduled and then resources are allocated until the available resources are exhausted. Then, iterative adjustments are applied to the resource allocation plan and the activities sequence to reach a feasible solution. Conversely, when expensive resources are involved, a resource allocation plan based on the economics of the resource is established and then activities are scheduled accordingly. However, Resource Constrained Scheduling Problems (RCSP) are not so

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Wang, Yanyan, and Baiqing Sun. "A Multiobjective Allocation Model for Emergency Resources That Balance Efficiency and Fairness." Mathematical Problems in Engineering 2018 (October 14, 2018): 1–8. http://dx.doi.org/10.1155/2018/7943498.

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Efficiency and fairness are two important goals of disaster rescue. However, the existing models usually unilaterally consider the efficiency or fairness of resource allocation. Based on this, a multiobjective emergency resource allocation model that can balance efficiency and fairness is proposed. The object of the proposed model is to minimize the total allocating costs of resources and the total losses caused by insufficient resources. Then the particle swarm optimization is applied to solve the model. Finally, a computational example is conducted based on the emergency relief resource allo

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Hosseinzadeh Lotfi, F., A. A. Noora, G. R. Jahanshahloo, J. Gerami, and M. R. Mozaffari. "Centralized resource allocation for enhanced Russell models." Journal of Computational and Applied Mathematics 235, no. 1 (2010): 1–10. http://dx.doi.org/10.1016/j.cam.2010.05.029.

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Shen, Linfang, Kuoyu Liu, Jinfei Chai, et al. "Research on the Mathematical Model for Optimal Allocation of Human Resources in the Operation and Maintenance Units of a Heavy Haul Railway." Mathematics 10, no. 19 (2022): 3707. http://dx.doi.org/10.3390/math10193707.

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According to the existing personnel structure, quantity, development strategy, and market demand of the Shuohuang Railway Company’s operation and maintenance project, the demand quantity of various employees of the company for the past three years is predicted, and a human resource optimization model based on existing human resources and future plans is established. Then, the optimal solutions of the two mathematical models were calculated and analyzed using LINGO software. Finally, combined with the actual situation, the optimal allocation of human resources for the operation and maintenance

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KAPUR, P. K., P. C. JHA, and A. K. BARDHAN. "OPTIMAL ALLOCATION OF TESTING RESOURCE FOR A MODULAR SOFTWARE." Asia-Pacific Journal of Operational Research 21, no. 03 (2004): 333–54. http://dx.doi.org/10.1142/s0217595904000278.

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Several Software Reliability Growth Models (SRGMs) have been developed in the literature to account for exponential and S-shaped growth curves. There are others, which can account for both depending on the testing environment. Such models are termed as flexible models. Most of the models use calendar/execution time as the testing time. Very few SRGMs have been developed which define explicitly the testing effort functions into the modeling. Testing effort/resource may be computer time and manpower needed during testing. The aim of this paper is twofold. 1. Develop an SRGM with testing efforts

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Dissertations / Theses on the topic "Resource allocation – Mathematical models"

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Nagarajan, Krishnamurthy. "New resource allocation strategies based on statistical network traffic models." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/33437.

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Di, Sheng, and 狄盛. "Optimal divisible resource allocation for self-organizing cloud." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4703130X.

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Dharmakadar, Aida. "An algorithmic solution to the minimax resource allocation problem with multimodal functions." Thesis, This resource online, 1993. http://scholar.lib.vt.edu/theses/available/etd-10062009-020310/.

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Liu, Kai, and 劉愷. "A decentralized congestion management approach for the multilateral energy transaction via optimal resource allocation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38750107.

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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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Nordai, Frederick Leon. "Balanced, capacitated, location-allocation problems on networks with a continuum of demand." Diss., Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54313.

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Location-allocation problems can be described generically as follows: Given the location or distribution (perhaps, probabilistic) of a set of customers and their associated demands for a given product or service, determine the optimum location of a number of service facilities and the allocation of products or services from facilities to customers, so as to minimize total (expected) location and transportation costs. This study is concerned with a particular subclass of location-allocation problems involving capacitated facilities and a continuum of demand. Specifically, two minisum, network-

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Kamat, Kuldip U. "Minimizing total tardiness and crew size in labor intensive cells using mathematical models." Ohio : Ohio University, 2007. http://www.ohiolink.edu/etd/view.cgi?ohiou1181108441.

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Nyamugure, Philimon. "Modification, development, application and computational experiments of some selected network, distribution and resource allocation models in operations research." Thesis, University of Limpopo, 2017. http://hdl.handle.net/10386/1930.

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Thesis (Ph.D. (Statistics)) -- University of Limpopo, 2017<br>Operations Research (OR) is a scientific method for developing quantitatively well-grounded recommendations for decision making. While it is true that it uses a variety of mathematical techniques, OR has a much broader scope. It is in fact a systematic approach to solving problems, which uses one or more analytical tools in the process of analysis. Over the years, OR has evolved through different stages. This study is motivated by new real-world challenges needed for efficiency and innovation in line with the aims and objectiv

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Garkusha, Sergey, and Essa Mohammed Al-Azzawi. "Model of Transmission Rate Allocation WiMAX with Taking Into Account the Defined Priorities." Thesis, TCSET'2014, 2014. http://dspace.puet.edu.ua/handle/123456789/1955.

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The results of development a mathematical model for transmission rate allocation downlink technology WiMAX are presented. The novelty of the proposed model is possibility to prevent a limit transmission rate allocated to the service flows of the user stations in the downlink by using the WiMAX technology linear or linearquadratic objective function. Using the mathematical model is directed to allocation between subscriber stations of a time-frequency resource of the downlink, which in turn improves the conditions in the electromagnetic frequency range used. The influence of the priority reques

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Westhoek, Annet. "Resource allocation in the legume-rhizobia symbiosis : an integration of modelling and experimental approaches." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:66ed2e7d-85d3-4090-a822-28609ea866c7.

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The symbiosis between plants of the legume family and nitrogen-fixing rhizobia underpins global food security. Legume crops are a major source of protein in human diets, either directly or indirectly as feed for livestock. Application of inoculant rhizobial strains is common practice in many areas, as plant growth is often nitrogen limited and the symbiosis can significantly enhance yields. However, rhizobial strains and outcomes of the symbiosis vary widely. This variation has also been studied by evolutionary biologists interested in the stability of mutualisms. They proposed that plants may

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Books on the topic "Resource allocation – Mathematical models"

1

Naoki, Katoh, ed. Resource allocation problems: Algorithmic approaches. MIT Press, 1988.

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Corless, Martin J. AIMD dynamics and distributed resource allocation. Society for Industrial and Applied Mathematics, 2016.

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1953-, Weber Richard, and Glazebrook Kevin D. 1950-, eds. Multi-armed bandit allocation indices. 2nd ed. John Wiley & Sons, 2011.

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Gittins, John C. Multi-armed bandit allocation indices. Wiley, 1989.

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James, Haddad Lawrence, Hoddinott John, Alderman Harold 1948-, and International Food Policy Research Institute., eds. Intrahousehold resource allocation in developing countries: Models, methods, and policy. Johns Hopkins University Press, 1997.

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Capital income taxation and resource allocation. North-Holland, 1987.

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Allocation models: Specification, estimation, and applications. Ballinger, 1986.

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Conrad, Jon M. Resource economics. 2nd ed. Cambridge University Press, 2010.

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9

An introduction to allocation rules. Springer, 2009.

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Rahders, Ralf. Verfahren und Probleme der Bestimmung des optimalen Werbebudgets: Eine modellorientierte Analyse unter besonderer Berücksichtigung dynamischer Aspekte und Entscheidungen bei mehrfacher Zielsetzung. Schulz-Kirchner, 1989.

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Book chapters on the topic "Resource allocation – Mathematical models"

1

Domansky, Victor, and Victoria Kreps. "Social Equilibria for Competitive Resource Allocation Models." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-642-56038-5_21.

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Mutanov, Galimkair. "Multi-Objective Stochastic Models for Making Decisions on Resource Allocation." In Mathematical Methods and Models in Economic Planning, Management and Budgeting. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-45142-7_7.

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Vani, B. P., and R. Sundaraguru. "Novel Analytical Model for Resource Allocation Over Cognitive Radio in 5G Networks." In Computational Statistics and Mathematical Modeling Methods in Intelligent Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31362-3_30.

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Feng, Runhuan, José Garrido, Longhao Jin, Sooie-Hoe Loke, and Linfeng Zhang. "Epidemic Compartmental Models and Their Insurance Applications." In Springer Actuarial. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78334-1_2.

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AbstractOur society’s efforts to fight pandemics rely heavily on our ability to understand, model and predict the transmission dynamics of infectious diseases. Compartmental models are among the most commonly used mathematical tools to explain reported infections and deaths. This chapter offers a brief overview of basic compartmental models as well as several actuarial applications, ranging from product design and reserving of epidemic insurance, to the projection of healthcare demand and the allocation of scarce resources. The intent is to bridge classical epidemiological models with actuarial and financial applications that provide healthcare coverage and utilise limited healthcare resources during pandemics.

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Ageev, Kirill, Eduard Sopin, and Konstantin Samouylov. "Resource Sharing Model with Minimum Allocation for the Performance Analysis of Network Slicing." In Information Technologies and Mathematical Modelling. Queueing Theory and Applications. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72247-0_28.

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Ibrahim, Ahmed, and Attahiru S. Alfa. "Multicasting in a Single HAP System: System Model and Mathematical Formulation." In Optimization Methods for User Admissions and Radio Resource Allocation for Multicasting over High Altitude Platforms. River Publishers, 2022. http://dx.doi.org/10.1201/9781003339007-3.

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Tasneem, Rayeesa, and M. A. Jabbar. "An Insight into Load Balancing in Cloud Computing." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_113.

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AbstractCloud Computing has emerged as a High-performance computing model providing on-demand computing resources as services via the Internet. Services include applications, storage, processing power, allocation of resources and many more. It is a pay-per-use model. Despite of providing various services, it is also experiencing numerous challenges like data security, optimized resource utilization, performance management, cost management, Cloud migration and many more. Among all, Load Balancing is another key challenge faced by Cloud. Effective load balancing mechanism will optimize the utilization of resources and improve the cloud performance. Load balancing is a mechanism to identify the overloaded and under loaded nodes and then balance the load by uniformly distributing the workload among the nodes. Various load balancing mechanisms are proposed by various researchers by taking different performance metrics. However existing load balancing algorithms are suffering from various drawbacks. This paper emphasizes the comparative review of various algorithms on Load Balancing along with their advantages, shortcomings and mathematical models.

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Johansson, Stefan, Paul Davidsson, and Bengt Carlsson. "Coordination Models for Dynamic Resource Allocation." In Coordination Languages and Models. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45263-x_12.

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Indrusiak, Leandro Soares, Piotr Dziurzanski, and Amit Kumar Singh. "Load and Resource Models." In Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing. River Publishers, 2022. http://dx.doi.org/10.1201/9781003337997-2.

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Shimizu, Kiyotaka, Yo Ishizuka, and Jonathan F. Bard. "General Resource Allocation Problem for Decentralized Systems." In Nondifferentiable and Two-Level Mathematical Programming. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6305-1_12.

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Conference papers on the topic "Resource allocation – Mathematical models"

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Ming Liu, Zhihui Sun, and Xiaoning Zhang. "Mathematical model and algorithm for the berth and yard resource allocation at seaports." In 2017 14th International Conference on Service Systems and Service Management (ICSSSM). IEEE, 2017. http://dx.doi.org/10.1109/icsssm.2017.7996122.

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Zaitseva, Irina, Oleg Malafeyev, Olga Pankratova, Lydia Novozhilova, and Viktor Smelik. "Software implementation of game-theoretic models accompanying labor resource allocation processes." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0026853.

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Lemeshko, Oleksandr, Tetiana Lebedenko, Amal Mersni, and Ahmad M. Hailan. "Mathematical Optimization Model of Congestion Management, Resource Allocation and Congestion Avoidance on Network Routers." In 2019 International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo). IEEE, 2019. http://dx.doi.org/10.1109/ukrmico47782.2019.9165445.

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Agieva, Movlatkhan T., Olga I. Gorbaneva, and Gennady A. Ougolnitsky. "Dynamic SPICE-Model of Resource Allocation in Marketing Networks with Co-Directed Interests." In 2020 2nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). IEEE, 2020. http://dx.doi.org/10.1109/summa50634.2020.9280699.

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Akai, Ryota, Hirofumi Amaya, and Kikuo Fujita. "Product Family Deployment Through Optimal Resource Allocation Under Market System." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28662.

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A series of products, i.e. a product family is deployed for effectively and flexibly meeting with a variety of customer’s needs under a given product platform. Since such a deployment consumes various engineering resources and simultaneously brings profits gradually over the time sequence, when and how respective modules are designed and respective products are launched to the market must be rationally planed. Further, as a nature of product families, module commonalization accelerates the deployment but infuses some overheads on features and production cost. This paper investigates such a pro

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Pan, Deng, and Yingping Zheng. "Mathematical model and algorithm of optimal resource allocation in the large iron & steel complex." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561473.

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Qiu, Yuming, Ping Ge, and Solomon C. Yim. "Risk-Based Resource Allocation for Collaborative System Design in Distributed Environment." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35478.

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Risk is becoming an important factor in facilitating the resource allocation in engineering design because of its essential role in evaluating functional reliability and mitigating system failures. In this work, we aim at expanding existing quantitative risk modeling methods to collaborative system designs regarding resource allocation in a distributed environment, where an overlapped risk item can affect multiple stakeholders, and correspondingly be examined by multiple evaluators simultaneously. Because of different perspectives and limited local information, various evaluators (responsible

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Ozer, Ali Haydar, and Can Ozturan. "An auction based mathematical model and heuristics for resource co-allocation problem in grids and clouds." In 2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control. IEEE, 2009. http://dx.doi.org/10.1109/icsccw.2009.5379493.

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Gromov, Yuri, Yuri Minin, Ali Abdulkarem Habib Alrammahi, and Farah Abbac Sari. "Probabilistic and Fuzzy Models of the Optimal Allocation of Resources of a Network Information System." In 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA). IEEE, 2019. http://dx.doi.org/10.1109/summa48161.2019.8947608.

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Suk, Hailie, and John Hall. "Connecting Qualitative and Quantitative Analysis Through Bond Graph Modeling and System Dynamics." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-70796.

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Abstract Access to resources can contribute to social progress in extremely impoverished communities. The introduction of cyber-physical systems for electricity, water, and irrigation facilitates greater fulfillment of needs. Yet, the availability of resources may be inconsistent or lacking. The social dynamics of the community can provide insight into how the available resources support well-being. Thus, the cyber-physical system requires the addition of a social consideration to become cyber-physical-social systems. However, the social considerations typically include qualitative parameters.

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