Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Jinting Ren"'
Autor:
Renping Liu, Shiming Li, Duo Liu, Liang Liang, Yong Guan, Chaoneng Xiang, Xianzhang Chen, Jinting Ren
Publikováno v:
Sustainable Computing: Informatics and Systems. 22:219-229
A variety of applications (App) installed on mobile systems such as smartphones enrich our lives, but make it more difficult to the system management. For example, finding the specific Apps becomes more inconvenient due to more Apps installed on smar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00b1903a8ee8d0f99a6ac408aefd760c
https://doi.org/10.1016/j.suscom.2018.08.009
https://doi.org/10.1016/j.suscom.2018.08.009
Autor:
Yujuan Tan, Chaoshu Yang, Liang Liang, Jinting Ren, Duo Liu, Xianzhang Chen, Moming Duan, Renping Liu, Shiming Li
Publikováno v:
Future Generation Computer Systems. 91:277-289
Recently convolutional neural networks (CNNs) have essentially achieved the state-of-the-art accuracies in image classification and recognition tasks. CNNs are usually deployed in the cloud to handle data collected from IoT devices, such as smartphon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70de7a0bb667ce6ce40269f00b1213af
https://doi.org/10.1016/j.future.2018.09.020
https://doi.org/10.1016/j.future.2018.09.020
Publikováno v:
DATE
The per-instruction sensitivity analysis framework is developed to evaluate the resiliency of a program and identify the segments of the program needing protection. However, for multi-bit hardware faults, the per-instruction sensitivity analysis fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02c0616a3fbfb58e7cfdc1bebf7e002e
https://doi.org/10.23919/date51398.2021.9474004
https://doi.org/10.23919/date51398.2021.9474004
Publikováno v:
HPCC/DSS/SmartCity
Fault tolerance techniques are of vital importance to promise data storage reliability for mobile distributed file systems. Traditional fault tolerance techniques, namely erasure codes and replicas, are suitable for wired data centers. However, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a8619b2e278919c76fdd2f357dd8260
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00084
https://doi.org/10.1109/hpcc-smartcity-dss50907.2020.00084
Publikováno v:
Minerals Engineering. 179:107434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::866e89d7d5691c0278c631ea6b3366a6
https://doi.org/10.1016/j.mineng.2022.107434
https://doi.org/10.1016/j.mineng.2022.107434
Publikováno v:
Journal of Systems Architecture. 120:102295
Emerging applications produce massive files that show different properties in file size, lifetime, and read/write frequency. Existing hybrid storage systems place these files onto different storage mediums assuming that the access patterns of files a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d31734540f5e0576b8d6ba42ab8d0ed5
https://doi.org/10.1016/j.sysarc.2021.102295
https://doi.org/10.1016/j.sysarc.2021.102295
Publikováno v:
Journal of Systems Architecture. 118:102217
Fault tolerance techniques are of vital importance to promise data reliability for mobile distributed system. In mobile environments, nodes suffer from high failure probability and fluctuating bandwidth. Thus, traditional fault tolerance techniques a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c29167ad42b87bc8ca287d047a5c6e6a
https://doi.org/10.1016/j.sysarc.2021.102217
https://doi.org/10.1016/j.sysarc.2021.102217
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 28:3089-3099
Mobile applications are becoming increasingly feature-rich and powerful, but also dependent on large main memories, which consume a large portion of system energy, especially for devices equipped with 4/6 GB DRAM. Swapping inactive DRAM pages to byte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2172a7afd41fe3c04bafb494be50408
https://doi.org/10.1109/tpds.2017.2713780
https://doi.org/10.1109/tpds.2017.2713780
Publikováno v:
ICCD
Federated learning (FL) is a distributed deep learning method which enables multiple participants, such as mobile phones and IoT devices, to contribute a neural network model while their private training data remains in local devices. This distribute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e5bc2168824487a734e43e3283532dc
https://doi.org/10.1109/iccd46524.2019.00038
https://doi.org/10.1109/iccd46524.2019.00038
Publikováno v:
ICCD
With the rapid growth of edge-cloud computing, emerging applications pose higher performance demand on the storage system for storing massive data that are generated from various sources. The multi-sourced data shows different properties in size, ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4988e5d6f4a75e54b7ae98a42a64e3c4
https://doi.org/10.1109/iccd46524.2019.00098
https://doi.org/10.1109/iccd46524.2019.00098