Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ioannis Mytilinis"'
Publikováno v:
Computers, Vol 9, Iss 1, p 9 (2020)
Cloud computing offerings traditionally originate from a handful of large and well established providers, which monopolize the market, preventing small players and individuals from having a share. As a result, the few, blindly and perforce trusted en
Externí odkaz:
https://doaj.org/article/ae0e043b0b414d93a7f5f21ec36558a6
Publikováno v:
Distributed and Parallel Databases. 39:445-482
In this work, we study the problem of maintaining basic aggregate statistics over a sliding-window data stream under the constraint of limited memory. As in IoT scenarios the available memory is typically much less than the window size, queries are a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de70cb9c2d44fd377e7b5ceb942444f0
https://doi.org/10.1007/s10619-020-07307-w
https://doi.org/10.1007/s10619-020-07307-w
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 31:1794-1808
Modern analytics involve computations over enormous numbers of data records. The volume of data and the stringent response-time requirements place increasing emphasis on the efficiency of approximate query processing. A major challenge over the past
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57bc4e673afbf2a5be06aaa8fb0815f1
https://doi.org/10.1109/tkde.2018.2867185
https://doi.org/10.1109/tkde.2018.2867185
Publikováno v:
SRDS
The public Cloud market has become a monopoly, where a handful of providers - which are by default considered as trusted entities - define the prices, accumulate knowledge from users' data and computations and strengthen their already privileged posi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a94bcb20c0f680560c6f4ee2d44023ef
https://doi.org/10.1109/srds47363.2019.00050
https://doi.org/10.1109/srds47363.2019.00050
Autor:
Orestis Akrivopoulos, Ioannis Konstantinou, Foivos S. Zakkak, C. Tselios, Constantinos Bitsakos, Juan Fumero, Christos Kotselidis, N. Kanakis, Ioannis Mytilinis, Michail Papadimitriou, Katerina Doka
Publikováno v:
Heterogeneous Computing Architectures ISBN: 9780429399602
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e48089660d159a08ba9172f2d18892f
https://doi.org/10.1201/9780429399602-3
https://doi.org/10.1201/9780429399602-3
Publikováno v:
Blockchain – ICBC 2019 ISBN: 9783030234034
ICBC
ICBC
In this paper we present CloudAgora, a platform that enables the realization of a democratic and fully decentralized cloud computing market where participating parties enjoy significant advantages: On one hand, cloud consumers have access to low-cost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63c2f7a4475392369e4fb118e1265aa3
https://doi.org/10.1007/978-3-030-23404-1_10
https://doi.org/10.1007/978-3-030-23404-1_10
Publikováno v:
Proceedings of the 31st International Conference on Scientific and Statistical Database Management-SSDBM 19
Proceedings of the 31st International Conference on Scientific and Statistical Database Management -SSDBM '19
Proceedings of the 31st International Conference on Scientific and Statistical Database Management
SSDBM
Proceedings of the 31st International Conference on Scientific and Statistical Database Management -SSDBM '19
Proceedings of the 31st International Conference on Scientific and Statistical Database Management
SSDBM
The IoT era has brought forth a computing paradigm shift from traditional high-end servers to "edge" devices of limited processing and memory capabilities. These devices, together with sensors, regularly produce very high data volumes nowadays. For m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bebb4426d6e952fd07c5c89da127d1b
Autor:
Katerina Doka, Ioannis Konstantinou, Nectarios Koziris, Ioannis Mytilinis, Constantinos Bitsakos
Publikováno v:
2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)
CloudCom
CloudCom
Modern Big Data processing systems, scheduling platforms and cloud infrastructures employ specialized hardware accelerators such as GPUs, FPGAs, TPUs, ASICs, etc. to optimize the execution of resource intensive workloads such as Machine Learning, Art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af5a9d36f38aedb0393ba57f88b0aeb
Publikováno v:
SIGMOD Conference
Modern data analytics involve simple and complex computations over enormous numbers of data records. The volume of data and the increasingly stringent response-time requirements place increasing emphasis on the efficiency of approximate query process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2df18285ea74f9bf05f3bc0479140db9
https://doi.org/10.1145/2882903.2915230
https://doi.org/10.1145/2882903.2915230
Publikováno v:
IC2E
Big Data applications receive an ever-increasing amount of attention, thus becoming a dominant class of applications that are deployed over virtualized environments. Cloud environments entail a large amount of complexity relative to I/O performance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4421b1b28527a1568c2a584292c0b87c
https://doi.org/10.1109/ic2e.2015.29
https://doi.org/10.1109/ic2e.2015.29