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Scheduling Human Intelligence Tasks in Multi-Tenant Crowd-Powered Systems
2016
Proceedings of the 25th International Conference on World Wide Web - WWW '16
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Our experimental results show that task scheduling can be leveraged to achieve fairness and reduce query latency in multi-tenant crowd-powered systems, although with very di↵erent tradeo↵s compared to ...
In this paper, we propose a new crowdsourcing system architecture that leverages scheduling algorithms to optimize task execution in a shared resources environment, in this case a crowdsourcing platform ...
Figure 3 : 3 The role of the HIT Scheduler in a Multi-Tenant Crowd-Powered System Architecture. ...
doi:10.1145/2872427.2883030
dblp:conf/www/DifallahDC16
fatcat:pad6kkdo4ze75ksvyqzq6fmf4y
Applications of artificial intelligence in intelligent manufacturing: a review
2017
Frontiers of Information Technology & Electronic Engineering
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We then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturing system architecture, and intelligent manufacturing technology system, based on the integration of AI ...
Finally, suggestions for the application of AI in intelligent manufacturing in China are presented. ...
Intelligent cloud
service application
layer
Single-tenant single-phase
application mode
Multi-tenant single-phase
application mode
Multi-tenant cross-phase
collaborative application mode
Multi-tenant ...
doi:10.1631/fitee.1601885
fatcat:inrdpnkaxnfoln3uef7glxqpsq
Cloud-based Manufacturing: Old Wine in New Bottles?
2014
Procedia CIRP
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An ongoing debate on CBM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, programming models, file systems, operational processes ...
One question, in particular, has often been raised: Is cloud-based manufacturing a new paradigm, or is it just old wine in new bottles? ...
Operational processes From an operational process perspective, CBM can leverage the power of the crowd through crowdsourcing. ...
doi:10.1016/j.procir.2014.01.035
fatcat:u7yx6wpdyvggdcodftph7kzpyq
Multi-tenant mobile offloading systems for real-time computer vision applications
2019
Proceedings of the 20th International Conference on Distributed Computing and Networking - ICDCN '19
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"Multi-Tenant Mobile Offloading Systems for Real-Time Computer Vision Applications". ...
Mitigating Resource Contention on CPUs In multi-tenant systems, for offloaded tasks running on CPUs, contention for shared computing resources can unfortunately result in delays and application malfunction ...
As described in Section 3.5.2, a query contains the identifiers of microservice and method to be processed correctly. ...
doi:10.1145/3288599.3288634
dblp:conf/icdcn/FangLS019
fatcat:qpib2wkm7jdnfg7k64eh3hwje4
Science and Technology Parks: A Futuristic Approach
2022
IEEE Access
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tenants. ...
It is envisaged that autonomous systems will not only provide value-added services to the park tenants but will also provide an infrastructure for testing new technologies within park premises. ...
(j) The system should have minimal operation and maintenance requirements (including infrastructure, human resources, power, spares, scheduled servicing, etc.) ...
doi:10.1109/access.2022.3159798
fatcat:6tnosyhsqnfspbszbgx7dxcvaq
Comprehensive Analysis of Resource Allocation and Service Placement in Fog and Cloud Computing
2021
International Journal of Advanced Computer Science and Applications
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The survey recommends techniques like Reinforcement Learning (RL) and Energy Efficient Computing (EEC) in Fog and Cloud to escalate the efficacy of RASP. ...
The findings of the survey help the researchers, to focus their attention on the research gaps and devise a robust RASP strategy in Fog and Cloud environment. ...
Applications with from the Intelligent Transport System (ITS) with 28 scenarios tested. independent tasks alone are considered. ...
doi:10.14569/ijacsa.2021.0120308
fatcat:mmftlutfa5dstphhsaxfvvu6ti
Initial Analysis on the Development of Cloud Logistics Model in China
2017
DEStech Transactions on Social Science Education and Human Science
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In China, it based on the concept of big data which is still in its infancy. Thus, the paper will analyze the prospect and feasibility of cloud logistics in the Chinese logistic market. ...
It allows logistics network industry applications to share storage, computing power and other resources to a number of different tenants. ...
This article relates to the Crowd sourcing mode is mainly in the service of large logistics enterprises. ...
doi:10.12783/dtssehs/icesd2017/11671
fatcat:qbi2qkvrlrho7fmjp3gq5fv5ri
Plug-in Electric Vehicle to Cloud Data Analytics for Charging Management
2017
International Journal of Engineering and Technology
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power grid system. ...
Penetration of electric vehicle fleet into the existing charging infrastructure multiplies the load on the underlying grid system. ...
The so called on demand computing paradigm seems to manifest as multi-tenant in accomplishing complex tasks required to mine the giant datasets, thereby eliminating the use of expensive hardware and also ...
doi:10.21817/ijet/2017/v9i3/170903s056
fatcat:6c3konyo6rb5rjofa54246smsq
2021 Index IEEE Transactions on Vehicular Technology Vol. 70
2021
IEEE Transactions on Vehicular Technology
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
., +, TVT Aug. 2021 8373-8377 Coverage-Aware Stable Task Assignment in Opportunistic Mobile Crowd-sensing. ...
doi:10.1109/tvt.2022.3151213
fatcat:vzuzqu54irebpibzp3ykgy5nca
Architecting cloud-enabled systems: a systematic survey of challenges and solutions
2016
Software, Practice & Experience
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We also conclude that there is a huge potential of research on architecting cloud-based systems in areas related to green computing, energy efficient systems, mobile cloud computing and IoTs. ...
It is important to systematically analyze and synthesize the existing research on architecting cloud-based software systems in order to build a cohesive body of knowledge of the reported challenges and ...
We greatly appreciate the useful comments provided by the anonymous reviewers and the editor in chief. ...
doi:10.1002/spe.2409
fatcat:s4hq4gy3yrhsvjxxwwtah2rumm
Cloud manufacturing as a sustainable process manufacturing route
2018
Journal of manufacturing systems
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Waste is an important consideration in manufacturing, with strong sustainability implications. ...
Cloud manufacturing offers a solution, as it is capable of making intelligent decisions to provide the most sustainable and robust manufacturing route available. ...
Multi-tenancy: An important characteristic of CM is its ability to connect tenants intelligently for mutual benefit without human intervention. ...
doi:10.1016/j.jmsy.2018.03.005
fatcat:7dwcm64nabbmforomgcsol72nq
Self-awareness of Cloud Applications
[chapter]
2017
Self-Aware Computing Systems
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To address the scale, growth, and reliability of cloud applications, self-aware management and scheduling are becoming commonplace. How are they used in practice? ...
A much shorter, revised version of this material will be available in print, as part of a Springer book on "Self-Aware Computing". The book is due to appear in 2017. ...
of Systems, by the Swedish Research Council (VR) for the projects "Cloud Control" and "Power and temperature control for large-scale computing infrastructures", and through the LCCC Linnaeus and ELLIIT ...
doi:10.1007/978-3-319-47474-8_20
fatcat:ckcxfmjmvvas5bhg7wp5qfmehy
Improving Energy Efficiency of Virtual Resource Allocation In Cloud Datacenter
2018
Indian Journal of Science and Technology
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Green Big Data: To reduce the power consumption, big data merge the concept with green computing. ...
Green job Scheduling: Each Server has different jobs, to save the energy server merged with green computing. ...
Proposed System A knowledge that is intelligent to advance the consumption of server wealth, and thus, diminish power spending, is virtualization of figuring possessions. ...
doi:10.17485/ijst/2018/v11i19/123227
fatcat:y5c4psx2bnaw5gk4d36cli4ksy
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
[article]
2019
arXiv
pre-print
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This incorporates infrastructures for DL, methods for parallel DL training, multi-tenant resource scheduling and the management of training and model data. ...
Finally, we highlight future research trends in DL systems that deserve further research. ...
This problem is tightly coupled to single-tenant and multi-tenant scheduling.
Single-tenant. ...
arXiv:1903.11314v2
fatcat:y62z7mteyzeq5kenb7srwtlg7q
A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications
2016
IEEE Communications Surveys and Tutorials
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., US$ 25.5 billion in 2010 for North America). ...
The third part focuses on resilience in application design and development. ...
and multi-layer nature of schedule are described. ...
doi:10.1109/comst.2016.2531104
fatcat:vzvkai7nkrbbda63fesn7zw4di
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