Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Wieder, Alexander"'
Autor:
Axenie, Cristian, Scherr, Wolfgang, Wieder, Alexander, Torres, Anibal Siguenza, Meng, Zhuoxiao, Du, Xiaorui, Sottovia, Paolo, Foroni, Daniele, Grossi, Margherita, Bortoli, Stefano, Brasche, Götz
Publikováno v:
In Expert Systems With Applications 1 May 2024 241
Topology-Preserving Simplification of OpenStreetMap Network Data for Large-scale Simulation in SUMO.
Autor:
Zhuoxiao Meng, Xiaorui Du, Sottovia, Paolo, Foroni, Daniele, Axenie, Cristian, Wieder, Alexander, Eckhoff, David, Bortoli, Stefano, Knoll, Alois, Sommer, Christoph
Publikováno v:
SUMO Conference Proceedings (SCP); 2022, Vol. 3, p181-197, 17p
Autor:
Wieder, Alexander
Partitioned fixed-priority scheduling is widely used in embedded multicore real-time systems. In multicore systems, spin locks are one well-known technique used to synchronize conflicting accesses from different processor cores to shared resources (e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea6b49f38dfd5ef1debf8c408b66f46a
https://hdl.handle.net/21.11116/0000-0009-8BF8-3
https://hdl.handle.net/21.11116/0000-0009-8BF8-3
Publikováno v:
Wieder, A, Bhatotia, P, Post, A & Rodrigues, R 2012, Orchestrating the Deployment of Computations in the Cloud with Conductor . in Presented as part of the 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12) . San Jose, CA, pp. 367-381 . < https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/wieder >
When organizations move computation to the cloud, they must choose from a myriad of cloud services that can be used to outsource these jobs. The impact of this choice on price and performance is unclear, even for technical users. To further complicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::49bd0b5e3224fafa225900d40933a72c
https://hdl.handle.net/20.500.11820/bedeb6ea-a1c2-423f-ada8-4ef2eef947f1
https://hdl.handle.net/20.500.11820/bedeb6ea-a1c2-423f-ada8-4ef2eef947f1
Distributed processing of large data sets is an area that received much attention from researchers and practitioners over the last few years. In this context, several proposals exist that leverage the observation that data sets evolve over time, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35aff556ae5e8a76c2c4664d9be0a5a
Publikováno v:
2015 IEEE Real-Time Systems Symposium; 2015, p1-12, 12p
Publikováno v:
Bhatotia, P, Wieder, A, Akkuş, İ E, Rodrigues, R & Acar, U A 2011, Large-scale Incremental Data Processing with Change Propagation . in Proceedings of the 3rd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud 11) . < https://www.usenix.org/legacy/events/hotcloud11/tech/final_files/Bhatotia.pdf >
Incremental processing of large-scale data is an increasingly important problem, given that many processing jobs run repeatedly with similar inputs, and that the de facto standard programming model (MapReduce) was not designed to efficiently process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a316836f8ca8c1cd1f67a8c7ba789d2a
Publikováno v:
2014 IEEE Real-Time Systems Symposium; 2014, p106-117, 12p
Publikováno v:
2013 IEEE 34th Real-Time Systems Symposium; 2013, p45-56, 12p
Publikováno v:
2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES); 2013, p49-58, 10p