Growth of the computing literature as reflected in theComputing Information Directory, 1981–1995

1995 ◽  
Vol 11 (3) ◽  
pp. 152-163
Author(s):  
Darlene M. Hildebrandt ◽  
Mark D. Crotteau
Keyword(s):  
Computing Literature

Users’ perception of cybersecurity, trust and cloud computing providers’ performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran
Keyword(s):  
Cloud Computing ◽  
Structural Equation ◽  
Design Methodology ◽  
Positive Relationship ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Ordinary Least Square ◽  
Ordinary Least Square Regression ◽  
Computing Literature

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.

VREED

2021 ◽  
Vol 5 (4) ◽  
pp. 1-20
Author(s):  
Luma Tabbaa ◽  
Ryan Searle ◽  
Saber Mirzaee Bafti ◽  
Md Moinul Hossain ◽  
Jittrapol Intarasisrisawat ◽  
...  
Keyword(s):  
Virtual Environments ◽  
Affective Computing ◽  
Pilot Trial ◽  
Emotional Responses ◽  
Physiological Signals ◽  
Skin Response ◽  
Electrocardiogram Ecg ◽  
Learning Analysis ◽  
Computing Literature ◽  
Healthy Participants

The paper introduces a multimodal affective dataset named VREED (VR Eyes: Emotions Dataset) in which emotions were triggered using immersive 360° Video-Based Virtual Environments (360-VEs) delivered via Virtual Reality (VR) headset. Behavioural (eye tracking) and physiological signals (Electrocardiogram (ECG) and Galvanic Skin Response (GSR)) were captured, together with self-reported responses, from healthy participants (n=34) experiencing 360-VEs (n=12, 1--3 min each) selected through focus groups and a pilot trial. Statistical analysis confirmed the validity of the selected 360-VEs in eliciting the desired emotions. Preliminary machine learning analysis was carried out, demonstrating state-of-the-art performance reported in affective computing literature using non-immersive modalities. VREED is among the first multimodal VR datasets in emotion recognition using behavioural and physiological signals. VREED is made publicly available on Kaggle1. We hope that this contribution encourages other researchers to utilise VREED further to understand emotional responses in VR and ultimately enhance VR experiences design in applications where emotional elicitation plays a key role, i.e. healthcare, gaming, education, etc.

Heterogeneous and Elastic Computation Framework for Mobile Cloud Computing

2014 ◽  
Vol 24 (07) ◽  
pp. 1013-1037 ◽  
Author(s):  
Chi-Sheng Shih ◽  
Joen Chen ◽  
Yu-Hsin Wang ◽  
Norman Chang
Keyword(s):  
Mobile Devices ◽  
Mobile Applications ◽  
Mobile Cloud Computing ◽  
Network Capacity ◽  
Physical Computation ◽  
Imprecise Computation ◽  
Cloud Servers ◽  
Real Time Computing ◽  
And Storage ◽  
Computing Literature

The number and variety of applications for mobile devices continue to grow. However, the resources on mobile devices including computation and storage do not keep pace with the growth. How to incorporate the computation capacity on cloud servers into mobile computing has been desired and challenge issues to resolve. In this work, we design an elastic computation framework to take advantage the heterogeneous computation capacity on cloud servers, which consist of CPUs and GPGPUs, to meet the computation demands of ever growing mobile applications. The computation framework extends OpenCL framework to link remote processors with local mobile applications. The framework is flexible in the sense that the computation can be stopped at any time and gains results, which is called imprecise computation in real-time computing literature. The framework has been evaluated against OpenCL benchmark and physical computation engine for gaming. The results show that the framework supports OpenCL benchmark, RODINIA, without modifying the codes with few exceptions. The elastic computation framework allows the cloud servers to support more mobile clients without sacrificing their QoS requirements. The experiment results also show that IO intensive applications do not perform well when the network capacity is insufficient or unreliable.

Current CITE-ings from the popular and trade computing literature

2015 ◽  
Vol 32 (6) ◽  
pp. 12-14
Author(s):  
Martin Kesselman
Keyword(s):  
Literature Review ◽  
Design Methodology ◽  
Content Type ◽  
Catch Up ◽  
Computing Literature

Purpose – This paper aims to play catch up with important articles from this past year with interest and implications for librarians. Design/methodology/approach – The approach adopted in this paper is a literature review. Findings – This paper found that there has been important developments in popular and trade computing literature which will interest librarians. Originality/value – This paper provides an update to the computing literature found in Library Hi Tech News over the previous year.

Sign in / Sign up

Export Citation Format

Share Document