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pro vyhledávání: '"Shafi Afridi"'
Autor:
Habib Mostafaei, Shafi Afridi
Publikováno v:
ACM Transactions on Internet Technology, 23(1):18, 1-21. Association for Computing Machinery, Inc
Geographically distributed (geo-distributed) datacenters for stream data processing typically comprise multiple edges and core datacenters connected through Wide-Area Network (WAN) with a master node responsible for allocating tasks to worker nodes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bfb62ac88e77cca7bbeef91d5623364
https://doi.org/10.1145/3571158
https://doi.org/10.1145/3571158
Publikováno v:
Future Generation Computer Systems, 136, 270-281. Elsevier
Many organizations leverage Distributed Stream processing systems (DPSs) to get insights from the data generated by different users/devices, e.g., the Internet of Things (IoT) devices or user clicks on a website, on geographically distributed datacen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccacf6e394c6447cc029bf3e0cff1a53
Autor:
Habib Mostafaei, Shafi Afridi
Cloud providers perform flow monitoring to get insights from the network traffic flows, often using coarse-grained packet counters or packet probing. These approaches give partial information from ongoing flows or introduce significant overhead if th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b44ae58a3edf0bcef415c333d4d8542c
https://depositonce.tu-berlin.de/handle/11303/13550
https://depositonce.tu-berlin.de/handle/11303/13550
Publikováno v:
CCGRID
Emerging applications such as those running on the Internet of Things (IoT) devices produce constant data streams that need to be processed in real-time. Distributed stream processing systems (DSPs), with geographically distributed cluster networks i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::390e6fb6ccbccb5a9714e57a2343de57