1. Strona główna/
  2. Lista autorów/
  3. Malawski Maciej/
  4. Habilitacja

Malawski Maciej, dr hab. inż., prof. AGH

WI-ii Instytut Informatyki

Wydział Informatyki

informatyka
50
50
informatyka techniczna i telekomunikacja
malawski@agh.edu.pl
Habilitacja
Zarządzanie zasobami dla aplikacji naukowych w chmurach obliczeniowych
Wydział:
AGH Wydział Informatyki, Elektroniki i Telekomunikacji
Data uchwały Rady Wydziału:
22.06.2017
Stopień naukowy:
dr hab. nauk technicznych
Dyscyplina:
informatyka
Słowa kluczowe:
chmury obliczeniowe; zarządzanie; aplikacje naukowe
Uwagi:
Pracę habilitacyjną stanowi cykl 13 publikacji: [1] Malawski M. (2016). Towards serverless execution of scientific workflows - hyperflow case study. W: WORKS 2016 Workshop, workflows in support of large-scale science, November 2016, Salt Lake City ; [2] Bryk P., [et al.] (2016). Storage-aware algorithms for scheduling of workflow ensembles in clouds. Journal of Grid Computing vol. 14, no. 2, s. 359-378 ; [3] Dziok T., Figiela K., Malawski M. (2016). Adaptive multi-level workflow scheduling with uncertain task estimates. W: Parallel processing and applied mathematics: 11th international conference: Krakow, Poland, September 6-9, 2015, s. 90--100 (Lecture Notes in Computer Science, vol. 9574, s. 90-100) ; [4] Baliś B., [et al] (2015). Execution management and efficient resource provisioning for flood decision support. Procedia Computer Science vol. 51, s. 2377-2386 ; [5] Malawski M., [et al.] (2015). Algorithms for cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds. Future Generation Computer Systems vol. 48, s. 1-18 ; [6] Malawski M., [et al.] (2015). Scheduling multilevel deadline-constrained scientific workflows n clouds on cost optimization. Scientific Programming ; [7] Cost optimization of execution of multi-level deadline-constrained scientific workflows on clouds. W: Parallel processing and applied mathematics: 10th international conference Warsaw, Poland, September 8-11 2013, s. 251-260, pt. 1 (Lecture Notes in Computer Science, vol. 8384) ; [8] Malawski M., Figiela K., Nabrzycki J. (2013). Cost minimization for computational applications in hybrid cloud infrastructures. Future Generation Computer Systems vol. 29, no. 7, s. 1786-1794 ; [9] Bubak M., [et al.] (2013). Evaluation of cloud providers for VPH applications. W: 13th IEEE/ACM international symposium on cluster, cloud and grid computing, CCGrid 2013: Delft, Netherlands, May 13-16 2013, s. 200-201 ; [10] Malawski M., [et al.] (2013). How to use Google App engine for free computing. IEEE Inter Computing vol. 17, no. 1, s.50-59 ; [11] Malawski M., [et al.] (2012). Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds. W: 12 proceedings of the international conference on high performance computing, networking, storage and analysis, s.1-10 ; [12] Malawski M., Gubala T., Bubak M. (2012). Component-based approach for programming and running scientific applications on grids and clouds. International Journal of High Performance Computing Applications vol. 26, no. 3, s. 275-295 ; [13] Malawski M., [et al.] (2011). Component approach to computational applications on clouds. Procedia Computer Sciences vol. 4, s. 432-44.