Ernest H. Forman, Mary Ann Selly · WORLD SCIENTIFIC eBooks · 2001
AbstractThe following sections are included:What is resource allocation all about?The Silverlake ProjectMethodology OverviewIdentify/design alternativesIdentify and structure the organization's goals and objectivesPrioritize the objectives and sub-objectivesMeasure Alternatives' ContributionsFind the Best Combination of AlternativesDiscrete Alternative Resource AllocationGeorge Washington University Academic Computing Advisory CommitteeBenefit/Cost Ratios—Sort and AllocateMaximizing Benefits – OptimizationFlexibility of Benefits Optimization ApproachConstraints for dependenciesConstraints representing SynergyAnother, perhaps simpler representation of constraints representing SynergyA more elaborate exampleConstraints for different types of ‘costs’Orders of Magnitude ConsiderationsSummary of B/C Ratios vs. Optimization of BenefitsActivity Level Resource AllocationBenefit/Cost RatiosMaximizing Benefits – OptimizationResource Allocation Summary
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R. Srikant · Systems & control · 2004
Consider a network where each source r is identified by an origin and a destination between which the user of source r is transferring data. In addition, we suppose that each source r uses a fixed route between its origin and destination, and that the route is specified by a sequence of links. Thus, the index r can be used to denote both the source and the route used by the source. Let x r be the rate (bits/sec. or bps) at which source r is allowed to transmit data. Each link l in the network has a capacity c l bps. Given the capacity constraints on the links, the resource allocation problem is one of assigning rates {x r } to the users in a fair manner. To illustrate the difficulties in destination, a fair resource allocation, we consider the following simple example of a network with three links and two sources.
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SpringerReference · 2011
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2004
This Chapter includes the following topics: Introduction Specification of the Mutual Exclusion Problem Centralized Algorithm Lamport's Algorithm Ricart and Agrawala's Algorithm Dining Philosopher Algorithm Token-Based Algorithms Quorum-Based Algorithms Problems Bibliographic Remarks
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LaCost, Barbara, O'Connell, Patricia A., Grady, Marilyn et al. · Insecta mundi · 1993
Resources are available means of supply or support that assist in accomplishing goals and meeting needs. Caldwell and Spinks (1986) define resources as culture and knowledge; however, most experts agree with Guthrie, Garms, and Pierce (1988), who define resources as "time, personnel, and materials ... as well as money" (p. 216). Thomas (1980) suggests that student and parent time is a "nonpurchased resource" that school leaders interested in effective and efficient allocation should consider. Rossmiller (1983) distinguishes between resource inputs and resource applications. Inputs, he says, are the available human and material resources, whereas applications are the "alternative ways resource inputs are mixed to achieve students' educational goals" (p. 174). Allocation is apportionment for a specific purpose or to particular persons or things. It also is an earmarking of resources for distribution. According to Guthrie et al. (1988), resource allocation is embodied in a budget, which "represents a plan for the direction of an organization's total discretionary resources ... " (p. 216) and is de-'termined through a budgeting process. This process is cyclical and ' includes planning, budgeting, and evaluation, all of which take place within a given time period. Caldwell and Spinks (1986) link policy-making to resource allocation; Westbrook (1988) links resource allocation to the political process. Hoyle, English, and Steffy (1990) view resource allocation as a twofold process, which examines "the fundamental nature of the enterprise," then discovers and implements "the most effective processes that will realize these purposes" (p. 205). Thus, resource allocation: • is a cyclical series of actions or operations that cover a specified time period; • is anchored to a budget document but encompasses more than dollars; and • requires leadership to administer the process appropriately, efficiently, and effectlvelyin the learning environment.
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2023
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Leilei Gao, Yan Zhang · OSF Preprints (OSF Preprints) · 2022
This project aims to examine the extent to which people seek variety when doing resource allocations.
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Pandey, I.M. · Indian Institute of Management, Ahmedabad Institutional Repository (Indian Institute of Management, Ahmedabad) · 2010
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Bei Cheng (453961), Dongmei Li (176178), Xiaojun Zhu (352546) · Figshare · 2024
<div><p>Cloud environment handles heterogeneous services, data, and users collaborating on different technologies and resource scheduling strategies. Despite its heterogeneity, the optimality in load scheduling and data distribution is paused due to unattended requests for a prolonged time. This article addresses the aforementioned issue using a Two-level Scheduling and Distribution Framework (TSDF) using Fuzzy Logic (FL). This framework houses different fuzzification processes for load balancing and data distribution across different resource providers. First, the fuzzification between regular and paused requests is performed that prevents prolonged delays. In this process, a temporary resource allocation for such requests is performed at the end of fuzzification resulting in maximum waiting time. This is the first level optimality determining feature from which the second level’s scheduling occurs. In this level, the maximum low and high delay exhibiting distributions are combined for joint resource allocations. The scheduling is completely time-based for which the cumulative response delay is the optimal factor. Therefore, the minimum time-varying requests observed in the second level are fuzzified for further resource allocations. Such allocations follow the distribution completed intervals improving its distribution (13.07%) and reducing the wait time (7.8%).</p></div>
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E. S. Williams, Cherill Scott, Reginaldo Peçanha Brazil · BMJ · 1993
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Barry D. Solomon · Edward Elgar Publishing eBooks · 2023
This comprehensive Dictionary brings together an extensive range of definitive terms in ecological economics. Assembling contributions from distinguished scholars, it provides an intellectual map to this evolving subject ranging from the practical to the philosophical.
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Timothy D. Schowalter · Elsevier eBooks · 2022
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Yan Zhang, Leilei Gao · OSF Preprints (OSF Preprints) · 2022
This project aims to examine the extent to which people seek variety when doing resource allocations.
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Philip Milner · The Lancet · 1988
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Anne L, Anne L. Jefferson · 2016
This paper reconceptualizes the purposes of education&apos;s budget envelope. Citing numerous examples of how policymakers consider resource allocations apart from the main concerns of individual programs, the people reallocations affect, and education&apos;s most important programs, it suggests that policymakers and finance officers reemphasize program and people priorities rather than financial ones. Noting that curriculum and instruction issues rank a distant fifth behind frontrunner funding issues in the 1988 American Association of School Administrator&apos;s Survey, disapproval about funding priorities and program-based budgeting systems is expressed. Political concerns often dictate program funding without regard to the most effective programs. In addition, when expenditures outstrip income based on foundation levels established according to the annual inflation rate, funding emergencies occur. The report concludes that such a reconceptualization will not prevent policymakers from meeting their long-term or short-term budgeting obligations. Rather, budget flexibility is enhanced because of budgets designed to respond to immediate ongoing program needs, and not to any fixed &quot;written in stone &quot; timetable that ends with the fiscal year. (JAM) Reproductions supplied by EDRS are the best that can be made from the original document.
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Gabriel Andrade · 2025
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Kevin Lai, Lars Rasmusson, Eytan Adar et al. · 2005
Distributed clusters like the Grid and PlanetLab enable the same statistical multiplexing efficiency gains for computing as the Internet provides for networking. One major challenge is allocating resources in an economically efficient and low-latency way. A common solution is proportional share, where users each get resources in proportion to their pre-defined weight. However, this does not allow users to differentiate the value of their jobs. This leads to economic inefficiency. In contrast, systems that require reservations impose a high latency (typically minutes to hours) to acquire resources. This paper describes Tycoon, a market based distributed resource allocation system based on pro-portional share. The key advantages of Tycoon are that it allows users to differentiate the values of their jobs, its resource acquisition latency is limited only by communication delays, and it imposes no manual bidding overhead on users. Experimental results using a prototype implementation of the design are included. 1
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2013
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Wasson, K., Christian Medical Fellowship, London (United Kingdom) · OpenGrey (Institut de l'Information Scientifique et Technique) · 2002
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Ken Swann · 1973
In the previous chapter the treatment of networks assumed the establishment of single or multiple estimates of time for each activity regardless of the effects of other projects and the conflicting demands for resources. Indeed, the situation was viewed as static, rather unrealistically, as in practice a more dynamic situation is the rule, where compromises are made regarding the various resource inputs of labour, equipment and money, any of which could affect the activity time.
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