Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dimitrios Melissourgos"'
Publikováno v:
Proceedings of the ACM on Measurement and Analysis of Computing Systems. 7:1-31
Data streaming has many applications in network monitoring, web services, e-commerce, stock trading, social networks, and distributed sensing. This paper introduces a new problem of real-time burst detection in flow spread, which differs from the tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b74a02922e7f64d7800f46f6bdaac8c5
https://doi.org/10.1145/3589979
https://doi.org/10.1145/3589979
Publikováno v:
IEEE Transactions on Network Science and Engineering. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb0d19cea43fd8b98423313ffe2b845
https://doi.org/10.1109/tnse.2023.3279665
https://doi.org/10.1109/tnse.2023.3279665
Publikováno v:
IEEE/ACM Transactions on Networking. 30:2818-2833
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e7b0f88229cad00e2fe0c1a2f23b48
https://doi.org/10.1109/tnet.2022.3182694
https://doi.org/10.1109/tnet.2022.3182694
Publikováno v:
Int Conf Contemp Comput
Artificial neural networks (ANNs) are changing the paradigm in medical diagnosis. However, it remains an open problem how to outsource the model training operations to the cloud while protecting the privacy of distributed patient data. Homomorphic en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::988654150b8872ba72fae3e85b66ce6a
https://europepmc.org/articles/PMC10155738/
https://europepmc.org/articles/PMC10155738/
Publikováno v:
Proc Int Conf Tools Artif Intell TAI
Machine learning and artificial neural networks (ANNs) have been at the forefront of medical research in the last few years. It is well known that ANNs benefit from big data and the collection of the data is often decentralized, meaning that it is st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06d33903fe324a0d5c7d1c26d4acaaa
https://pubmed.ncbi.nlm.nih.gov/35095256
https://pubmed.ncbi.nlm.nih.gov/35095256
Publikováno v:
CLOUD
Internet-connected devices have been surging rapidly during the past years. Many important applications based upon such devices have emerged, such as vehicle tracking systems. These applications often require real-time execution of a large number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a52af9cdffc7f46b3fa5d92d70c57fb6
https://doi.org/10.1109/cloud53861.2021.00024
https://doi.org/10.1109/cloud53861.2021.00024
Publikováno v:
IC3
Edge computing has been gaining momentum lately as a means to complement cloud computing for shorter response time, better user experience, and improved data security. Traditional approaches of edge-cloud computing take two major forms: One is to off
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a000a51b32eac2f81c672e7ea40d0262
https://doi.org/10.1145/3474124.3474142
https://doi.org/10.1145/3474124.3474142
Publikováno v:
Computer Science & Information Technology (CS & IT).
This paper introduces a hierarchical traffic model for spread measurement of network traffic flows. The hierarchical model, which aggregates lower level flows into higher-level flows in a hierarchical structure, will allow us to measure network traff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247d6740b74461eabd658583ea74a862
https://doi.org/10.5121/csit.2021.110718
https://doi.org/10.5121/csit.2021.110718
Publikováno v:
BigCom
A hierarchical flow model provides us the opportunity to monitor network traffic in datacenters, at once, from coarser (aggregate flows) to finer granularity (individual flows). Per-flow traffic measurement based on an idea of counter-sharing is memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e80c1c364f8cbb3e2a2c936d5edcab75
https://doi.org/10.1109/bigcom51056.2020.00025
https://doi.org/10.1109/bigcom51056.2020.00025
Autor:
Dimitrios Melissourgos, Youlin Zhang, Yuanda Wang, Olufemi Odegbile, Sishun Wang, Shigang Chen
Publikováno v:
BigCom
On the one hand, edge computing has the advantage of distributing the load to the edges of a computer network. Local computation at the edge is bandwidth-efficient and anonymous. On the other hand, cloud computing is the choice when it comes to compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77579e044ad3b18f54352bf4c1efc849
https://doi.org/10.1109/bigcom51056.2020.00028
https://doi.org/10.1109/bigcom51056.2020.00028