The effects of task structures on time-sharing efficiency and resource allocation optimality

1984 ◽  
Author(s):  
Pamela S. Tsang ◽  
Christopher D. Wickens
Keyword(s):  
Resource Allocation ◽  
Time Sharing ◽  
Task Structures

scholarly journals Resource Allocation for SWIPT Systems with Nonlinear Energy Harvesting Model

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yifan Hu ◽  
Mingang Liu ◽  
Yizhi Feng
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Time Slot ◽  
Achievable Rate ◽  
Time Sharing ◽  
Allocation Scheme ◽  
Optimal Resource Allocation ◽  
Optimal Resource ◽  
Resource Allocation Scheme ◽  
Nonlinear Energy

In this paper, we study the resource allocation for simultaneous wireless information and power transfer (SWIPT) systems with the nonlinear energy harvesting (EH) model. A simple optimal resource allocation scheme based on the time slot switching is proposed to maximize the average achievable rate for the SWIPT systems. The optimal resource allocation is formulated as a nonconvex optimization problem, which is the combination of a series of nonconvex problems due to the binary feature of the time slot-switching ratio. The optimal problem is then solved by using the time-sharing strong duality theorem and Lagrange dual method. It is found that with the proposed optimal resource allocation scheme, the receiver should perform EH in the region of medium signal-to-noise ratio (SNR), whereas switching to information decoding (ID) is performed when the SNR is larger or smaller. The proposed resource allocation scheme is compared with the traditional time switching (TS) resource allocation scheme for the SWIPT systems with the nonlinear EH model. Numerical results show that the proposed resource allocation scheme significantly improves the system performance in energy efficiency.

On the Training of Time Sharing Skills: An Attention Viewpoint

1980 ◽  
Vol 24 (1) ◽  
pp. 259-263 ◽  
Author(s):  
Daniel Gopher
Keyword(s):  
Resource Allocation ◽  
Resource Availability ◽  
Voluntary Control ◽  
Time Sharing ◽  
Processing Resources

Training of time-sharing skills is discussed within an attention framework in which poor time-sharing performance is interpreted to stem from scarcity or inefficient utilization of processing resources. Practice is argued to increase resource availability either by reducing the resource demands of each task, improving coordination, or enhancing the voluntary control on resource allocation. Based on this analysis notions of skill generalizations and implications for the development of training procedures are examined.

scholarly journals Joint Congestion Control and Resource Allocation for Delay-Aware Tasks in Mobile Edge Computing

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Shichao Li ◽  
Qiuyun Wang ◽  
Yunfeng Wang ◽  
Jianli Xie ◽  
Cuiran Li ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Congestion Control ◽  
Resource Constraints ◽  
Edge Computing ◽  
Subcarrier Allocation ◽  
Mobile Edge Computing ◽  
Time Sharing ◽  
Joint Power ◽  
Primal Problem ◽  
Execution Delay

Recently, in order to extend the computation capability of smart mobile devices (SMDs) and reduce the task execution delay, mobile edge computing (MEC) has attracted considerable attention. In this paper, a stochastic optimization problem is formulated to maximize the system utility and ensure the queue stability, which subjects to the power, subcarrier, SMDs, and MEC server computation resource constraints by jointly optimizing congestion control and resource allocation. With the help of the Lyapunov optimization method, the primal problem is transformed into five subproblems including the system utility maximization subproblem, SMD congestion control subproblem, SMD computation resource allocation subproblem, joint power and subcarrier allocation subproblem, and MEC server scheduling subproblem. Since the first three subproblems are all single variable problems, the solutions can be obtained directly. The joint power and subcarrier allocation subproblem can be efficiently solved by utilizing alternating and time-sharing methods. For the MEC server scheduling subproblem, an efficient algorithm is proposed to solve it. By solving the five subproblems at each slot, we propose a delay-aware task congestion control and resource allocation (DTCCRA) algorithm to solve the primal problem. Theoretical analysis shows that the proposed DTCCRA algorithm can achieve the system utility and execution delay trade-off. Compared with the intelligent heuristic (IH) algorithm, when the control parameter V increases from 10 6 to 10 7 , the total backlogs are decreased by 5.03% and the system utility is increased by 3.9% on average for the extensive performance by using the proposed DTCCRA algorithm.

scholarly journals Attention control in a demanding dynamic time-sharing environment: An eye-tracking study

2021 ◽  
Author(s):  
Jaakko Kulomäki ◽  
Lauri Oksama ◽  
Esa Rantanen ◽  
Jukka Hyönä
Keyword(s):  
Resource Allocation ◽  
Eye Movements ◽  
Attention Control ◽  
Attention Allocation ◽  
Time Sharing ◽  
Rapid Adaptation ◽  
Attentional Allocation ◽  
Resource Conflicts ◽  
Priority Order ◽  
Dynamic Time

AbstractIn this study, we examined different models of cognitive control in dynamic time-sharing situations. We investigated attentional allocation by registering participants’ eye movements while they performed a new time-sharing task that forced them to solve resource conflicts between subtasks through prioritization. Participants were monitoring four subtasks each requiring different amounts of visual attention and response frequencies. Participants’ attention allocation was operationalized in terms of the time spent dwelling on subtasks, the rate they visually sampled the tasks, and the duration of dwells. Additionally, the accuracy of responses and efficiency of time-sharing were estimated. In Experiment 1, we studied adaptation to a time-sharing environment in which priority order of the subtasks was kept constant from trial to trial. We found that the participants sampled the most important subtasks more frequently, spent more time on them, and shifted their gaze earlier to them than to less important subtasks. That is, they allocated their attention according to the subtask priorities. In Experiment 2, subtask priorities changed from trial to trial. Despite the higher demands of the constantly changing situation, participants again adapted to the varying priorities of the subtasks almost instantly. Our results suggest that performance in complex and dynamic time-sharing situations is not managed by a system relying on liberal resource allocation policies and gradual learning. Instead, the participants’ rapid adaptation is more consistent with tighter executive and authoritative control and intelligent use of prioritization information.

Flexibility in Resource Allocation and the Performance of Time-Sharing Tasks

1988 ◽  
Vol 32 (19) ◽  
pp. 1466-1470 ◽  
Author(s):  
Gabriel Spitz
Keyword(s):  
Resource Allocation ◽  
Task Performance ◽  
Dual Task ◽  
Task Demands ◽  
Time Sharing ◽  
Single Task ◽  
Wide Range ◽  
Dual Task Performance ◽  
Task Conditions ◽  
Mental Resources

The extent and nature of the ability to control the allocation of mental resources between the components of a dual task was investigated in three separate experiments. Using a variable priority (demand) methodology it was found that subjects could manipulate their performance level, however their ability to meet specific demand levels was limited. Training subjects under single or dual-task conditions using a wide range of task demand significantly improved dual task performance and degree of control over resource allocation as compared to performance following practice under a narrow range of task demands or under single task fixed demand conditions. Single task performance among all groups improved to the same degree. It was concluded that training subjects under a wide range of task demands increases the range of performance levels over which mental resources can be flexibly allocated for those tasks and improves time sharing performance. Implications for the design of training for complex task performance are discussed.

Folk-economic beliefs as moral intuitions

2018 ◽  
Vol 41 ◽  
Author(s):  
Neil Malhotra
Keyword(s):  
Resource Allocation ◽  
Moral Intuitions ◽  
Economic Beliefs ◽  
Evolutionary Explanations

AbstractAlthough Boyer & Petersen's (B&P's) cataloguing of and evolutionary explanations for folk-economic beliefs is important and valuable, the authors fail to connect their theories to existing explanations for why people do not think like economists. For instance, people often have moral intuitions akin to principles of fairness and justice that conflict with utilitarian approaches to resource allocation.

Mother or Wife?

2012 ◽  
Vol 43 (4) ◽  
pp. 232-242 ◽  
Author(s):  
Phia S. Salter ◽  
Glenn Adams
Keyword(s):  
United States ◽  
Resource Allocation ◽  
Cultural Psychology ◽  
The United States ◽  
Personal Relationship ◽  
Three Dimensions ◽  
Church Membership ◽  
Cultural Dynamics ◽  
Psychology Perspective ◽  
Cultural Ecological

Inspired by “Mother or Wife” African dilemma tales, the present research utilizes a cultural psychology perspective to explore the dynamic, mutual constitution of personal relationship tendencies and cultural-ecological affordances for neoliberal subjectivity and abstracted independence. We administered a resource allocation task in Ghana and the United States to assess the prioritization of conjugal/nuclear relationships over consanguine/kin relationships along three dimensions of sociocultural variation: nation (American and Ghanaian), residence (urban and rural), and church membership (Pentecostal Charismatic and Traditional Western Mission). Results show that tendencies to prioritize nuclear over kin relationships – especially spouses over parents – were greater among participants in the first compared to the second of each pair. Discussion considers issues for a cultural psychology of cultural dynamics.

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