Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Nick Antonopoulos"'
Autor:
Dominic Davies-Tagg, Ashiq Anjum, Ali Zahir, Lu Liu, Muhammad Usman Yaseen, Nick Antonopoulos
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 2, Pp 371-398 (2024)
Data temperature is a response to the ever-growing amount of data. These data have to be stored, but they have been observed that only a small portion of the data are accessed more frequently at any one time. This leads to the concept of hot and cold
Externí odkaz:
https://doaj.org/article/e7ef7f431ccd4ec7a4720b8d6425e0a2
Autor:
Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 1, Pp 217-243 (2024)
Social networks are inevitable parts of our daily life, where an unprecedented amount of complex data corresponding to a diverse range of applications are generated. As such, it is imperative to conduct research on social events and patterns from the
Externí odkaz:
https://doaj.org/article/5df577c063bc46ef97d6bd3e5d56c47c
Publikováno v:
SN Applied Sciences, Vol 5, Iss 12, Pp 1-10 (2023)
Abstract The substantial amount of IoT traffic, coupled with control messages, places a heavy burden on SDN controllers, which compromises their capacity. We investigate how SDN can revolutionize the conventional approach, aiming to overcome the limi
Externí odkaz:
https://doaj.org/article/af6f5e46b2d54a09acd1f1bcc7e8518f
Publikováno v:
IEEE Access, Vol 5, Pp 15040-15054 (2017)
Cloud datacentres are acknowledged as being massive energy consumers, which may have significant environment impacts. Service providers have an ethical responsibility to reduce the environmental impact of server resources and a simultaneous and compl
Externí odkaz:
https://doaj.org/article/5d54341d601e480eb6850eed16951e53
Publikováno v:
IEEE Access, Vol 4, Pp 9129-9144 (2016)
Given the emergence of mobile cloud computing (MCC), its associated energy implications are witnessed at larger scale. With offloading computationally intensive tasks to the cloud datacentres being the basic concept behind MCC, most of the mobile ter
Externí odkaz:
https://doaj.org/article/cfa658d0cde34c44a25f24ec9d0a0f08
Publikováno v:
Sensors, Vol 12, Iss 5, Pp 6610-6628 (2012)
The increasing trends of electrical consumption within data centres are a growing concern for business owners as they are quickly becoming a large fraction of the total cost of ownership. Ultra small sensors could be deployed within a data centre to
Externí odkaz:
https://doaj.org/article/db411125f0434480a15d9c9d91360399
Publikováno v:
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, Vol 1, Iss 1 (2014)
The goal of Opportunistic Networks (OppNets) is to enable message transmission in an infrastructure less environment where a reliable end-to-end connection between the hosts in not possible at all times. The role of OppNets is very crucial in today
Externí odkaz:
https://doaj.org/article/e14709484aef46a5af97f01944f07761
Publikováno v:
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC).
Computational methods for virtual screening can dramatically accelerate early-stage drug discovery by identifying potential hits for a specified target. Docking algorithms traditionally use physics-based simulations to address this challenge by estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0949f8d3f45f8f35d610869efb9136b2
https://doi.org/10.1101/2022.03.17.484710
https://doi.org/10.1101/2022.03.17.484710
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 8:762-780
Cloud workloads are increasingly heterogeneous such that a single Cloud job may encompass one to several tasks, and tasks belonging to the same job may behave distinctively during their actual execution. This inherent task heterogeneity imposes incre