Zobrazeno 1 - 10
of 136
pro vyhledávání: '"Guosun Zeng"'
Publikováno v:
IEEE Access, Vol 10, Pp 15805-15817 (2022)
As the internet and the Internet of Things (IoT) have been widely applied in many application fields, a large number of graphs are continuously produced and change over time, which leads to difficulties in graph analysis and utilization. This paper s
Externí odkaz:
https://doaj.org/article/49b7fbb4d9f745188952bbbea2974de7
Publikováno v:
IEEE Access, Vol 8, Pp 62883-62894 (2020)
With the explosive growth of big data in various application areas, it is becoming very important for information management system to know the real-time growth change and the long-term increasing trend of big data. Thus, in this paper, we propose a
Externí odkaz:
https://doaj.org/article/36ca24b2a72744f8b391cd3797a135df
Publikováno v:
IEEE Access, Vol 7, Pp 77070-77082 (2019)
Task scheduling is the key to the full utilization of heterogeneous cloud capabilities for parallel processing of big graphs. Most graph processing systems adopt single-granularity scheduling mechanisms without considering the heterogeneity of the cl
Externí odkaz:
https://doaj.org/article/10b85ec4a5e546779e0f92ec61528e92
Autor:
Guosun Zeng, Shun Wang
Publikováno v:
IEEE Transactions on Computational Social Systems. 9:1144-1153
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8090f144ce34b13e21af850401e90c2f
https://doi.org/10.1109/tcss.2021.3114352
https://doi.org/10.1109/tcss.2021.3114352
Publikováno v:
The Journal of Supercomputing. 78:14317-14342
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c4f9a13308a18bff086023738ad59d0
https://doi.org/10.1007/s11227-022-04437-z
https://doi.org/10.1007/s11227-022-04437-z
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e660ce19be29a25af02ea85b78f2399
https://doi.org/10.1109/tcss.2022.3226230
https://doi.org/10.1109/tcss.2022.3226230
Publikováno v:
Future Generation Computer Systems. 108:662-676
Software system evolution is an active and important research topic in software engineering. In guiding software system evolution, software architecture plays a critical role. In the traditional software architecture, only the link information of com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c1c903566f3c83b9ea968ef93857c21
https://doi.org/10.1016/j.future.2020.02.008
https://doi.org/10.1016/j.future.2020.02.008
Publikováno v:
IEEE Access, Vol 8, Pp 62883-62894 (2020)
With the explosive growth of big data in various application areas, it is becoming very important for information management system to know the real-time growth change and the long-term increasing trend of big data. Thus, in this paper, we propose a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59893d3aa6339b022198c38d5dc773a9
https://ieeexplore.ieee.org/document/8960659/
https://ieeexplore.ieee.org/document/8960659/
Autor:
Kekun Hu, Guosun Zeng
Publikováno v:
Future Generation Computer Systems. 101:1187-1200
Big graphs are so large that their analysis often rely on the cloud for parallel processing. Data placement, as a key pre-processing step, has a profound impact on the performance of parallel processing. Traditional placement methods fail to preserve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::472e64fa921a4fb18d995ef086a39d30
https://doi.org/10.1016/j.future.2019.07.014
https://doi.org/10.1016/j.future.2019.07.014
Publikováno v:
Future Generation Computer Systems. 101:680-693
It is a challenging problem to adapt a parallel computing task to the extended machine systems aiming at making full use of the extended computing resources in reconfigurable computing environments. In this paper, firstly, we focus on the main perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3868a27152fe44a33e6f21af14b08abf
https://doi.org/10.1016/j.future.2019.07.025
https://doi.org/10.1016/j.future.2019.07.025