Pregled bibliografske jedinice broj: 1206909
Modeling and Simulation of Heterogeneous Resources in the Cloud: (Work in Progress)
Modeling and Simulation of Heterogeneous Resources in the Cloud: (Work in Progress) // 2021 IEEE 20th International Symposium on Network Computing and Applications (NCA)
Boston (MA): Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-3 doi:10.1109/NCA53618.2021.9685934 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Modeling and Simulation of Heterogeneous Resources
in the Cloud: (Work in Progress)
Autori
Lončar, Petra
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2021 IEEE 20th International Symposium on Network Computing and Applications (NCA)
/ - Boston (MA) : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1-3
ISBN
978-1-6654-9550-9
Skup
20th International Symposium on Network Computing and Applications (NCA)
Mjesto i datum
Boston (MA), Sjedinjene Američke Države, 23.11.2021. - 26.11.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Cloud computing ; CloudSim ; Computational modeling ; Data centers ; Distributed computing ; Heterogenous cloud ; Resource management ; System simulation ; Task analysis
Sažetak
Heterogenous cloud computing will take a significant role in addressing performance concerns at hyper- scale computing. New approaches are needed to manage the system complexity and to support an High- Performance Computing (HPC) in the cloud. The large- scale modeling is associated with challenges in transitioning to a heterogeneous cloud with an emphasis on resource management. In this paper, the complex cloud system infrastructure of five heterogeneous data centers is modeled and simulated. The simulation is performed using a CloudSim simulator under the parallel workload. The idea is to connect data centers using a central broker for assigning tasks to data centers depending on their predefined settings and job requirements. The operation and performance of the system execution under a high load are shown. We consider this model optimal for distribution regarding complex data infrastructures. All assigned tasks were successfully performed on cloud data centers. Guidelines for future work are given.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
