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Quantifying the energy cost of data movement for emerging smart phone workloads on mobile platforms
2014
2014 IEEE International Symposium on Workload Characterization (IISWC)
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To our knowledge, this is the first study that quantifies the amount of data movement energy for emerging smart phone applications running on a recent, commercial smart phone device. ...
We take a step further to utilize this calculated energy cost of data movement to characterize the portion of energy that an application spends in moving data for a wide range of popular smart phone workloads ...
This work was partially supported by the NSF I/UCRC Center for Embedded Systems (NSF grant #0856090) and by Science Foundation of Arizona under the Bisgrove Early Career Scholarship. ...
doi:10.1109/iiswc.2014.6983056
dblp:conf/iiswc/PandiyanW14
fatcat:iyrmxt7pxfar3l2hjgoenl5zsi
Architectural Thermal Energy Harvesting Opportunities for Sustainable Computing
2014
IEEE computer architecture letters
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Wu, "Quantifying the Energy Cost of Data Movement for Emerging Smart Phone Workloads on Mobile Platforms," Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), October ...
Wu, "Performance, Energy Characterizations and Architectural Implications of An Emerging Mobile Platform Benchmark Suite -MobileBench," Proceedings of the IEEE International Symposium on Workload Characterization ...
doi:10.1109/l-ca.2013.16
fatcat:wpoyp4orbzb5lmzaiq4wddesfq
Leveraging smart phones to reduce mobility footprints
2009
Proceedings of the 7th international conference on Mobile systems, applications, and services - Mobisys '09
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Since most users already carry cell phones for voice calls and texting, Horatio does not increase the size or weight aspects of a user's mobility footprint -there is only a small increase in the energy ...
Mobility footprint refers to the size, weight, and energy demand of the hardware that must be carried by a mobile user to be effective at any time and place. ...
, or the University of Toronto. ...
doi:10.1145/1555816.1555828
dblp:conf/mobisys/SmaldoneGBILS09
fatcat:4ssae5vjlrgcpaz3l3irlpn7pe
A Survey of Task Allocation: Contrastive Perspectives from Wireless Sensor Networks and Mobile Crowdsensing
2019
IEEE Access
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In this paper, we give a survey of task allocation in WSNs and MCS from the contrastive perspectives in terms of data quality and sensing cost, which help to better understand related objectives and strategies ...
Then, we present some common issues in task allocation with objectives in data quality and sensing cost. ...
Thus, we discuss the sensing cost from the perspectives of energy consume and workload balancing.
1) ENERGY CONSUMPTION Energy expenditure for a sensing node is inevitable. ...
doi:10.1109/access.2019.2896226
fatcat:ydat4ftjabgbxp6fjzlpctys44
A Survey on Mobile Crowd-Sensing and Its Applications in the IoT Era
2019
IEEE Access
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Mobile crowd-sensing (MCS) is a new sensing paradigm that takes advantage of the extensive use of mobile phones that collect data efficiently and enable several significant applications. ...
The aim of this paper is to identify and explore the new paradigm of MCS that is using smartphone for capturing and sharing the sensed data between many nodes. ...
Finally, the survey in [5] addresses the use of mobile phones in detecting movements and actions. ...
doi:10.1109/access.2018.2885918
fatcat:zpkhumhpjzbstpno24u4appmri
The Fog Computing Paradigm: Scenarios and Security Issues
2014
Proceedings of the 2014 Federated Conference on Computer Science and Information Systems
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As an example, we study a typical attack, man-in-the-middle attack, for the discussion of security in Fog computing. ...
We investigate the stealthy features of this attack by examining its CPU and memory consumption on Fog device. ...
Video communication is set up on BCM5354 between a 3G mobile phone and a laptop which adopts Wifi for connection. ...
doi:10.15439/2014f503
dblp:conf/fedcsis/StojmenovicW14
fatcat:br4duwuewbhy3melxerzjtdx4y
Applications of Integrated IoT-Fog-Cloud Systems to Smart Cities: A Survey
2021
Electronics
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These issues arise due to the characteristics of iIFCs on the one side and the requirements of different smart city applications on the other. ...
Utilizing this powerful platform will provide many opportunities for enhancing and optimizing applications in energy, transportation, healthcare, and other areas. ...
This kind of smart city application can cut traffic delays, lessen vehicle travel times, enhance the average velocity of vehicles on the road, and improve conditions for emergency vehicles' movements in ...
doi:10.3390/electronics10232918
fatcat:nvtuswyafjaexhf55bj6i36oey
Urban Sensing based on Mobile Phone Data: Approaches, Applications and Challenges
[article]
2020
arXiv
pre-print
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This work aims to review the methods and techniques that have been implemented to discover knowledge from mobile phone data. ...
Data volume grows explosively with the proliferation of powerful smartphones and innovative mobile applications. The ability to accurately and extensively monitor and analyze these data is necessary. ...
This inability has led to the development of Big Data analytics platforms, and Cloud-based and Edge Computing [57] , [58] methodologies seem to be perfect solutions for not only hosting big data workloads ...
arXiv:2008.12992v1
fatcat:i7ffg23bpncehoadczgfkuoqe4
Fog Computing Approaches in Smart Cities: A State-of-the-Art Review
[article]
2020
arXiv
pre-print
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2020 pre-print arXiv:2011.14732v1 fatcat:nigp6gvw3rb43i6qddjt4juq4a
These days, the development of smart cities, specifically in location-aware, latency-sensitive, and security-crucial applications (such as emergency fire events, patient health monitoring, or real-time ...
So as to obviate the limitations of cloud and other related computing paradigms such as edge computing, this paper proposes a systematic literature review (SLR) for the state-of-the-art fog-based approaches ...
In order to provide resources for vehicular computing based on the mobility migration pattern of geographical, the status of the roads was quantified accurately. ...
arXiv:2011.14732v2
fatcat:cvof3r247rbt5gmyaxbqsdtcoy
Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective
2020
Zenodo
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It includes analytic dynamical modelling of the resources, offered workload, and networking environment, incorporating phenomena typically met in wireless communications and mobile edge computing, together ...
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 ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.5281/zenodo.5958132
fatcat:ag46ygtlejfxfn7pnxncuite3a
Edge Computing Resource Allocation for Dynamic Networks: The DRUID-NET Vision and Perspective
2020
Sensors
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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 ...
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. ...
Conflicts of Interest: The authors declare no conflict of interest.
Abbreviations The following abbreviations are used in this manuscript: ...
doi:10.3390/s20082191
pmid:32294937
pmcid:PMC7218846
fatcat:j3hbgmgaarcpjegnnaqq4oq6ei
Technologies for fall risk assessment and conceptual design in personal health record system
2019
Finnish Journal of eHealth and eWelfare
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It should always be clear what kind of data are collected from users and how the data are utilised. The consent of the users should also always be collected. ...
The study also presents one easy to use solution for assessing fall risk and suggests a concept-design for integrating sensor-based solutions into the Finnish national Kanta Personal Health Record. ...
The authors would like to thank Timo Niemirepo for developing the mobile software for fall risk assessment. ...
doi:10.23996/fjhw.73258
fatcat:lprfyt64f5bwnkk7obc7ejcpwm
D2.1 Use Cases, Technical And Business Requirements
2018
Zenodo
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The report includes a comprehensive set of 23 use cases, covering themes such as wireless access, mobile edge computing and on-the-fly monitoring. ...
This document presents use cases and requirements for a "superfluid" network, which is one that will have the ability to instantiate services on-the-fly, run them anywhere in the network (core, aggregation ...
on smart phones provide valuable data which can be fused with other data from the phone such as location to provide context. ...
doi:10.5281/zenodo.1219356
fatcat:4cayudykg5g77bahiwksv5q26y
SeeMon
2008
Proceeding of the 6th international conference on Mobile systems, applications, and services - MobiSys '08
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Proactively providing services to mobile individuals is essential for emerging ubiquitous applications. ...
The context monitoring with rich sensors imposes heavy workloads on mobile devices with limited computing and battery power. ...
PDAs and smart phones. ...
doi:10.1145/1378600.1378630
dblp:conf/mobisys/KangLJLLPPS08
fatcat:ou4rqayjgvctfngrgkl4wyr4c4
Big Data and cloud computing: innovation opportunities and challenges
2016
International Journal of Digital Earth
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Big Data has emerged in the past few years as a new paradigm providing abundant data and opportunities to improve and/or enable research and decision-support applications with unprecedented value for digital ...
This review introduces future innovations and a research agenda for cloud computing supporting the transformation of the volume, velocity, variety and veracity into values of Big Data for local to global ...
Acknowledgements We thank the anonymous reviewers for their insightful comments and reviews. Dr George Taylor reviewed a previous version of this manuscript. ...
doi:10.1080/17538947.2016.1239771
fatcat:qbcgqj2pcvbgja6dnnakoj2saa
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