Motivated message processing: How motivational activation influences resource allocation, encoding, and storage of TV messages

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This study investigated how the use of interactive media, specifically infographics, on touch screen devices of varying size affects the user's cognition. Such research fills a gap in research on both interactive graphics and touch screen interfaces. Two experiments were executed. In the first, a 3 (screen size) by 2 (interactivity), and the second, a 2 (interface type) by 2 (interactivity) experimental design with screen size and interface type tested between subjects and interactivity tested within subjects. Guided by Lang's (2000, 2006) Limited Capacity Model of Motivated Mediated Message Processing, cognition was measured based on the participant's encoding and storage of the information presented in the graphic. Multiple choice and open-ended questions related to information presented in the information graphic were used to measure encoding and storage. Psychophysiological measures of heart rate and skin conductance were recorded to measure participant's levels of attention and arousal throughout exposure to the infographics. Additionally, self-report questions were used to determine the participant's perception of the graphic, its content, and the site hosting the graphic, as well as how "interactive" they judged the graphic was. The results of these studies provide valuable insight into how individuals react to interactive media displayed on mobile devices. With the drastic increase in use of touch-based tablets and phones seen since the introduction of these products, the results from this project are a valuable resource in considering how to go about designing media that incorporate capabilities inherent in the touch screen interfaces of these devices.

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Time and Cost Efficient Cloud Resource Allocation for Real-Time Data-Intensive Smart Systems

Energies ◽

10.3390/en13215706 ◽

2020 ◽

Vol 13 (21) ◽

pp. 5706

Author(s):

Muhammad Shuaib Qureshi ◽

Muhammad Bilal Qureshi ◽

Muhammad Fayaz ◽

Muhammad Zakarya ◽

Sheraz Aslam ◽

...

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Real Time ◽

Large Scale ◽

Smart Devices ◽

Budget Constraints ◽

Smart Systems ◽

Data Intensive ◽

Cost Efficient ◽

And Storage

Cloud computing is the de facto platform for deploying resource- and data-intensive real-time applications due to the collaboration of large scale resources operating in cross-administrative domains. For example, real-time systems are generated by smart devices (e.g., sensors in smart homes that monitor surroundings in real-time, security cameras that produce video streams in real-time, cloud gaming, social media streams, etc.). Such low-end devices form a microgrid which has low computational and storage capacity and hence offload data unto the cloud for processing. Cloud computing still lacks mature time-oriented scheduling and resource allocation strategies which thoroughly deliberate stringent QoS. Traditional approaches are sufficient only when applications have real-time and data constraints, and cloud storage resources are located with computational resources where the data are locally available for task execution. Such approaches mainly focus on resource provision and latency, and are prone to missing deadlines during tasks execution due to the urgency of the tasks and limited user budget constraints. The timing and data requirements exacerbate the efficient task scheduling and resource allocation problems. To cope with the aforementioned gaps, we propose a time- and cost-efficient resource allocation strategy for smart systems that periodically offload computational and data-intensive load to the cloud. The proposed strategy minimizes the data files transfer overhead to computing resources by selecting appropriate pairs of computing and storage resources. The celebrated results show the effectiveness of the proposed technique in terms of resource selection and tasks processing within time and budget constraints when compared with the other counterparts.

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Joint Computing and Storage Resource Allocation Based on Stable Matching in Data Centers

2017 IEEE 3rd International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS) ◽

10.1109/bigdatasecurity.2017.36 ◽

2017 ◽

Cited By ~ 1

Author(s):

Qiao Chu ◽

Lin Cui ◽

Yuxiang Zhang

Keyword(s):

Resource Allocation ◽

Data Centers ◽

Stable Matching ◽

Storage Resource ◽

And Storage

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Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective

Sensors ◽

10.3390/s20082191 ◽

2020 ◽

Vol 20 (8) ◽

pp. 2191

Author(s):

Dimitrios Dechouniotis ◽

Nikolaos Athanasopoulos ◽

Aris Leivadeas ◽

Nathalie Mitton ◽

Raphael Jungers ◽

...

Keyword(s):

Resource Allocation ◽

Dynamic Networks ◽

Service Differentiation ◽

Edge Computing ◽

Decision Strategy ◽

Network Computing ◽

Time Critical ◽

Net Framework ◽

And Storage

The potential offered by the abundance of sensors, actuators, and communications in the Internet of Things (IoT) era is hindered by the limited computational capacity of local nodes. Several key challenges should be addressed to optimally and jointly exploit the network, computing, and storage resources, guaranteeing at the same time feasibility for time-critical and mission-critical tasks. We propose the DRUID-NET framework to take upon these challenges by dynamically distributing resources when the demand is rapidly varying. It includes analytic dynamical modeling of the resources, offered workload, and networking environment, incorporating phenomena typically met in wireless communications and mobile edge computing, together with new estimators of time-varying profiles. Building on this framework, we aim to develop novel resource allocation mechanisms that explicitly include service differentiation and context-awareness, being capable of guaranteeing well-defined Quality of Service (QoS) metrics. DRUID-NET goes beyond the state of the art in the design of control algorithms by incorporating resource allocation mechanisms to the decision strategy itself. To achieve these breakthroughs, we combine tools from Automata and Graph theory, Machine Learning, Modern Control Theory, and Network Theory. DRUID-NET constitutes the first truly holistic, multidisciplinary approach that extends recent, albeit fragmented results from all aforementioned fields, thus bridging the gap between efforts of different communities.

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Distraction Effects of Smoking Cues in Antismoking Messages: Examining Resource Allocation to Message Processing as a Function of Smoking Cues and Argument Strength

Media Psychology ◽

10.1080/15213269.2012.755454 ◽

2013 ◽

Vol 16 (2) ◽

pp. 154-176 ◽

Cited By ~ 15

Author(s):

Sungkyoung Lee ◽

Joseph N. Cappella

Keyword(s):

Resource Allocation ◽

Message Processing ◽

Argument Strength ◽

Smoking Cues

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Resource Intensification for Mobile Devices Using the Approximate Computing Entities

Journal of Trends in Computer Science and Smart Technology - September 2019 ◽

10.36548/jtcsst.2020.1.003 ◽

2020 ◽

Vol 2 (1) ◽

pp. 26-36

Author(s):

Dr. Suma V

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Energy Consumption ◽

Mobile Devices ◽

Mobile Cloud Computing ◽

Mobile Cloud ◽

Approximate Computing ◽

Local Resources ◽

And Storage ◽

High Storage

The mobile devices are termed to highly potential due to their capability of rendering services without being plugged to the electric grid. These device are becoming highly prominent due to their constant progress in computing as well as storing capacities and as they are very much closer to the users. Despites its advantages it still faces many problems due to the load balancing and energy consumption due to its limited battery limited and storage availability as some applications or the video downloading requires high storage facilities consuming majority of the energy in turn reducing the performance of the mobile devices. So as to improve the performance and the capability of the mobile devices the mobile cloud computing that integrates the mobile devices with the cloud paradigm has emerged as a promising paradigm. This enables the augmentation of the local resources for the mobile devices to enhance its capabilities in order to improve its functioning. This is basically done by proper offloading and resource allocation. The proposed method in the paper utilizes the optimal offloading strategy (Single and double strand offloading) and follows an Ant colony optimization based resource allocation for improving the functioning the mobile devices in terms of energy consumption and storage.

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Resource allocation and storage relative to resprouting ability in wind disturbed coastal forest trees

Evolutionary Ecology ◽

10.1007/s10682-014-9698-7 ◽

2014 ◽

Vol 28 (4) ◽

pp. 735-749 ◽

Cited By ~ 16

Author(s):

Emmanuel F. Nzunda ◽

Megan E. Griffiths ◽

Michael J. Lawes

Keyword(s):

Resource Allocation ◽

Forest Trees ◽

Coastal Forest ◽

And Storage ◽

Resprouting Ability

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Multidomain Hierarchical Resource Allocation for Grid Applications

Journal of Electrical and Computer Engineering ◽

10.1155/2012/415182 ◽

2012 ◽

Vol 2012 ◽

pp. 1-8 ◽

Cited By ~ 6

Author(s):

Mohamed Abouelela ◽

Mohamed El-Darieby

Keyword(s):

Resource Allocation ◽

Data Transfer ◽

Distributed Applications ◽

Private Data ◽

Geographically Distributed ◽

Grid Applications ◽

Computing Environments ◽

And Storage ◽

Exchange Data ◽

Allocation Approach

Geographically distributed applications in grid computing environments are becoming more and more resource intensive. Many applications require the collaboration between different domains, may be independently administrated domains, to exchange data and share computing and storage resources. This collaboration should be done in a way that maintains the privacy of each participant domain. This calls for new architectures and approaches to deal with such multidomain environments. We propose a hierarchical-based architecture as well as multidomain hierarchical resource allocation approach. The resource allocation is performed in a distributed way among different domains such that each participant domain keeps its internal topology and private data hidden while sharing abstracted information with other domains. Both computing and networking resources are jointly scheduled while optimizing the application completion time taking into account data transfer delays. Simulation results show the scalability and feasibility of the proposed approach.

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Differences in processing of interactive infographics on different screen sizes and interface types

10.32469/10355/71295 ◽

2015 ◽

Author(s):

◽

Rachel Lara Myers

Keyword(s):

Interactive Media ◽

Touch Screen ◽

Self Report ◽

Message Processing ◽

Valuable Insight ◽

Screen Size ◽

Capacity Model ◽

Drastic Increase ◽

And Storage ◽

Interface Type

This study investigated how the use of interactive media, specifically infographics, on touch screen devices of varying size affects the user's cognition. Such research fills a gap in research on both interactive graphics and touch screen interfaces. Two experiments were executed. In the first, a 3 (screen size) by 2 (interactivity), and the second, a 2 (interface type) by 2 (interactivity) experimental design with screen size and interface type tested between subjects and interactivity tested within subjects. Guided by Lang's (2000, 2006) Limited Capacity Model of Motivated Mediated Message Processing, cognition was measured based on the participant's encoding and storage of the information presented in the graphic. Multiple choice and openended questions related to information presented in the information graphic were used to measure encoding and storage. Psychophysiological measures of heart rate and skin conductance were recorded to measure participant's levels of attention and arousal throughout exposure to the infographics. Additionally, self-report questions were used to determine the participant's perception of the graphic, its content, and the site hosting the graphic, as well as how "interactive" they judged the graphic was. The results of these studies provide valuable insight into how individuals react to interactive media displayed on mobile devices. With the drastic increase in use of touch-based tablets and phones seen since the introduction of these products, the results from this project are a valuable resource in considering how to go about designing media that incorporate capabilities inherent in the touch screen interfaces of these devices.

Download Full-text