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Workloads of the Future

Jan M. Rabaey, Daniel Burke, Ken Lutz, John Wawrzynek
2008 IEEE Design & Test of Computers  
Whereas today a billion mobile phones are sold per year, in the near future perhaps upwards of a trillion sensory nodes per year will be sold and deployed, with the majority of these connected wirelessly  ...  will be of the essence.  ...  The authors of this article characterize these workloads of the future and argue for a new set of benchmarks to guide the exploration and optimization of future systems. - There have been some efforts  ... 
doi:10.1109/mdt.2008.118 fatcat:4uyaaojnsbajpj3dyzpcbdyx5y

GlobeTraff: A Traffic Workload Generator for the Performance Evaluation of Future Internet Architectures

Konstantinos V. Katsaros, George Xylomenos, George C. Polyzos
2012 2012 5th International Conference on New Technologies, Mobility and Security (NTMS)  
Having identified important limitations of the current Internet architecture, several research initiatives have engaged in the design of new architectures for the Internet of the Future.  ...  To this end, we have designed and implemented GlobeTraff, a traffic workload generator for the creation of synthetic traffic mixes.  ...  However, the advent of clean slate approaches for the future Internet changes this application-specific point of view.  ... 
doi:10.1109/ntms.2012.6208742 dblp:conf/ntms/KatsarosXP12 fatcat:3yymxzbyz5fmvmafdpvmgd2c6i

On the memory system requirements of future scientific applications: Four case-studies

Milan Pavlovic, Yoav Etsion, Alex Ramirez
2011 2011 IEEE International Symposium on Workload Characterization (IISWC)  
Based on the analysis of their instrumented execution, we project some performance requirements from future memory systems serving large-scale chip multiprocessors (CMPs).  ...  In addition, we estimate the impact of memory system performance on the amount of instruction stalls, as well as on the real computational performance, using the number of floating point operations per  ...  Acknowledgements This research is supported by the Consolider contract number TIN2007-60625 from the Ministry of Science and Innovation of Spain and the TERAFLUX project (ICT-FP7-249013). Y.  ... 
doi:10.1109/iiswc.2011.6114176 dblp:conf/iiswc/PavlovicER11 fatcat:npkantdiavebvhltafgnucpttq

Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence

Thomas C. Kwee, Robert M. Kwee
2021 Insights into Imaging  
The direct contribution of each study to patient care and its effect on the workload of diagnostic radiologists (i.e., number of examinations performed per time unit) was assessed.  ...  Objective To determine the anticipated contribution of recently published medical imaging literature, including artificial intelligence (AI), on the workload of diagnostic radiologists.  ...  Since the effect of AI on future workload remains unclear, and associated practical consequences are very relevant, it is crucial to fill in this knowledge gap.  ... 
doi:10.1186/s13244-021-01031-4 pmid:34185175 fatcat:bwqlibhhojgzvatj34pnaaridq

EFFECTS OF COGNITIVE WORKLOAD ON DECISION ACCURACY, SHOOTING PERFORMANCE, AND CORTICAL ACTIVITY OF SOLDIERS

S. E. Kerick, L. E. Allender
2006 Transformational Science and Technology for the Current and Future Force  
Results from analyses of the subjective report data revealed that time stress and decision load main effects significantly influenced workload perceptions.  ...  Overall, the results suggest that time stress had the most profound and widespread effects on workload perceptions and performance.  ...  The subjects completed subjective reports of workload (Subjective Workload Assessment Technique, SWAT) and stress (Subjective Ratings of Events, SRE) immediately following the completion of each scenario  ... 
doi:10.1142/9789812772572_0046 fatcat:ljnnrpqaqbg7tdgzqa62l6ym2u

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks

Johann Benerradi, Horia A. Maior, Adrian Marinescu, Jeremie Clos, Max L. Wilson
2019 Proceedings of the Halfway to the Future Symposium 2019 on - HTTF 2019  
We also make recommendations for avenues of future work that are most promising for the machine learning of fNIRS data.  ...  To provide additional practical advice for future brain-computer interaction systems, we conclude by discussing the limitations and data-preparation needs of different machine learning approaches.  ...  Michel Valstar for their advice on the application of machine learning and more specifically deep learning for fNIRS data.  ... 
doi:10.1145/3363384.3363392 dblp:conf/httf/BenerradiMMC019 fatcat:czrexo7gkzgffbzdcb6asiujdu

Medical workforce review using the RCP guidance on safe medical staffing demonstrating wide variation of workload to workforce ratio between medical teams within a single trust

Thomas Weetman, Deanne Bell, Gareth Watts, Fang En Sin
2019 Future healthcare journal  
With this data, we then: > determined the ratio of workload to workforce per team, and compared between teams > compared the number of doctors needed as per the RCP guidance with actual staffi ng levels  ...  Workload was calculated as 'average hours of work required per week per team' based on estimations in the RCP report.  ... 
doi:10.7861/futurehosp.6-2s-s44 pmid:31572939 pmcid:PMC6752413 fatcat:rrs6xzijnzfbbciytww5mqvo2a

Medical workforce review using the RCP guidance on safe medical staffing demonstrating wide variation of workload to workforce ratio between medical teams within a single trust

Thomas Weetman, Deanne Bell, Gareth Watts, Fang En Sin
2019 Future healthcare journal  
With this data, we then: > determined the ratio of workload to workforce per team, and compared between teams > compared the number of doctors needed as per the RCP guidance with actual staffi ng levels  ...  Workload was calculated as 'average hours of work required per week per team' based on estimations in the RCP report.  ... 
doi:10.7861/futurehealth.6-2-s44 fatcat:qqz3lxci4ncnzbh4x23s3r664m

Work-Home Interference, Perceived Total Workload, and the Risk of Future Sickness Absence Due to Stress-Related Mental Diagnoses Among Women and Men: a Prospective Twin Study

Pia Svedberg, Lisa Mather, Gunnar Bergström, Petra Lindfors, Victoria Blom
2017 International Journal of Behavioral Medicine  
The aim was to study whether work-home interference and perceived total workload predict SA due to stress-related mental diagnoses, or SA due to other mental diagnoses, among women and men, when adjusting  ...  Results Each one unit increase in work-to-home and home-towork conflicts, and perceived total workload was associated with higher odds for SA due to stress-related mental diagnoses  ...  All authors contributed in designing the study and to the interpretation of the results and to the writing and approval of the final article.  ... 
doi:10.1007/s12529-017-9669-9 pmid:28639237 pmcid:PMC5803287 fatcat:2lipapof5ba33alz6dz7uztfbq

An Eye for the Air Traffic Controller Workload

Ulf Ahlstrom
2010 Journal of the Transportation Research Forum  
The purpose of this paper is to outline an approach for workload measurements and optimization of air traffic systems and displays that match controller needs.  ...  Such systems, once developed, will increase operator and system efficiency and increase the safety of airline operations.  ...  Because the nature of operator tasks and workload are likely to change, workload assessments play an important role in the development of future control systems.  ... 
doi:10.5399/osu/jtrf.46.3.676 fatcat:7kb7bx46onbbjj4vggjc3kcpte

Workload Analysis and Demand Prediction of Enterprise Data Center Applications

Daniel Gmach, Jerry Rolia, Ludmila Cherkasova, Alfons Kemper
2007 2007 IEEE 10th International Symposium on Workload Characterization  
We use a trace based approach for capacity management that relies on i) the characterization of workload demand patterns, ii) the generation of synthetic workloads that predict future demands based on  ...  Understanding the nature of enterprise workloads is crucial to properly designing and provisioning current and future services in such pools.  ...  The synthetic trace had similar properties as the actual future behavior of the workload.  ... 
doi:10.1109/iiswc.2007.4362193 dblp:conf/iiswc/GmachRCK07 fatcat:p4ze2xnc35hqbpvhew7bxfgyn4

A Virtual Machine Migration Strategy Based on Time Series Workload Prediction Using Cloud Model

Yanbing Liu, Bo Gong, Congcong Xing, Yi Jian
2014 Mathematical Problems in Engineering  
Aimed at resolving the issues of the imbalance of resources and workloads at data centers and the overhead together with the high cost of virtual machine (VM) migrations, this paper proposes a new VM migration  ...  By setting the upper and lower workload bounds for host machines, forecasting the tendency of their subsequent workloads by creating a workload time series using the cloud model, and stipulating a general  ...  Acknowledgments This work is supported in part by the following Grants  ... 
doi:10.1155/2014/973069 fatcat:aol5iaaalrazboyu6vf545omwa

Minimum makespan workload dissemination in DTNs

Sheng Zhang, Jie Wu, Sanglu Lu
2013 Proceedings of the fourteenth ACM international symposium on Mobile ad hoc networking and computing - MobiHoc '13  
D2 makes dissemination decisions based on the estimations of the potential computational capacities and the future workloads of DTN nodes.  ...  We first investigate the scenario in which each node has access to an oracle that knows global and future knowledge of node mobility, and we propose a centralized polynomial-time optimal algorithm.  ...  ; and the future workload estimator predicts the expected workload in a node at a future time slot.  ... 
doi:10.1145/2491288.2491327 dblp:conf/mobihoc/ZhangWL13 fatcat:5hxriitmcnh2ndjeitg4isnq6m

Page 17 of Computer Performance Vol. 5, Issue 4 [page]

1984 Computer Performance  
Sizing future workloads Gauging the effect of any new application or changes to an existing workload is probably the most difficult task of capacity planning.  ...  Even if the above technique does not significantly increase your knowledge of future workloads, at least it makes the planners aware of the extent of your knowledge.  ... 

Thermal status and workload prediction using support vector regression

Mel Stockman, Mariette Awad, Haitham Akkary, Rahul Khanna
2012 2012 International Conference on Energy Aware Computing  
, we propose in this paper using support vector regression (SVR) to predict future processor thermal status as well as the currently running workload.  ...  The second model predicts the current workload with a percentage error of 0.08% for a heterogeneous training set of 6 different integer and floating point benchmark workloads.  ...  and partly by the University Research Board at the American University of Beirut.  ... 
doi:10.1109/iceac.2012.6471027 dblp:conf/iceac/StockmanAAK12 fatcat:afr7ara4rjb6bn4hxwkyxt4i74
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