Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Alexandra Vintila"'
Publikováno v:
Journal of Eastern Europe Research in Business and Economics. :1-14
The existence of several different degrees of restructuring, uneven dynamics, the transition from a natural monopoly to a competitive market with new strategic and economic opportunities are among the defining features of the natural gas market that
Publikováno v:
Proceedings of the International Conference on Business Excellence. 16:639-649
International trade is an important pillar of the modern economy. Beyond its benefits, the global market generates divergencies among trade partners that can be escalated into trade disputes. Notable interest has arisen in using network analysis to f
Autor:
Alexandra Vintila, Mihai Daniel Roman
Publikováno v:
Proceedings of the International Conference on Business Excellence, Vol 15, Iss 1, Pp 235-244 (2021)
Analyzing price competition through game theory is one of the most important frameworks of oligopoly theory, especially in industrial organizations. Numerous studies have been conducted in this direction, as companies are forced to adjust their susta
Autor:
Alexandra Vintila, Mihai Daniel Roman
Publikováno v:
Eurasian Studies in Business and Economics ISBN: 9783031155307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4504320cbabfa0863cd42dbd4741fbb
https://doi.org/10.1007/978-3-031-15531-4_3
https://doi.org/10.1007/978-3-031-15531-4_3
Autor:
Alexandra Vintila, Mihai Daniel Roman
Publikováno v:
Resilience and Economic Intelligence Through Digitalization and Big Data Analytics ISBN: 9788366675704
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::588a144c75dec8671c4b02c4b07c4cf5
https://doi.org/10.2478/9788366675704-044
https://doi.org/10.2478/9788366675704-044
Publikováno v:
GECCO (Companion)
Vrije Universiteit Amsterdam
Oprescu, A M, Filip, A & Kielmann, T 2015, Fast Pareto Front Approximation for Cloud Instance Pool Optimization . in Genetic and Evolutionary Computation Conference (GECCO 2015) . ACM .
Genetic and Evolutionary Computation Conference (GECCO 2015)
Vrije Universiteit Amsterdam
Oprescu, A M, Filip, A & Kielmann, T 2015, Fast Pareto Front Approximation for Cloud Instance Pool Optimization . in Genetic and Evolutionary Computation Conference (GECCO 2015) . ACM .
Genetic and Evolutionary Computation Conference (GECCO 2015)
Computing the Pareto Set (PS) of optimal cloud schedules in terms of cost and makespan for a given application and set of cloud instance types is NP-complete. Moreover, cloud instances' volatility requires fast PS recomputations. While genetic algori
Publikováno v:
Filip, A, Oprescu, A M, Costache, S V & Kielmann, T 2015, ' E-BaTS: Energy-aware Scheduling for Bag-of-Task Applications in HPC Clusters ', Parallel Processing Letters, vol. 25, no. 3 . https://doi.org/10.1142/S0129626415410054
Parallel Processing Letters, 25(3). World Scientific Publishing Co. Pte Ltd
Parallel Processing Letters, 25(3). World Scientific Publishing Co. Pte Ltd
High-Performance Computing (HPC) systems consume large amounts of energy. As the energy consumption predictions for HPC show increasing numbers, it is important to make users aware of the energy spent for the execution of their applications. Drawing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dcc7589ecc7fed42450cad011664690
https://hdl.handle.net/1871.1/32ec6b0e-779a-4962-805d-b012023bc45a
https://hdl.handle.net/1871.1/32ec6b0e-779a-4962-805d-b012023bc45a
Publikováno v:
Parallel Processing Letters. Sep2015, Vol. 25 Issue 3, p-1. 32p. 2 Diagrams, 2 Charts, 14 Graphs.
Publikováno v:
Vrije Universiteit Amsterdam
Vintila, A, Oprescu, A M & Kielmann, T 2013, Fast (Re-)Configuration of Mixed On-demand and Spot Instance Pools for High-throughput Computing . in ORMaCloud 2013, International Workshop on Optimization techniques for Resource Management in Clouds . ACM, New York, NY, USA .
ORMaCloud 2013, International Workshop on Optimization techniques for Resource Management in Clouds
ORMaCloud
Vintila, A, Oprescu, A M & Kielmann, T 2013, Fast (Re-)Configuration of Mixed On-demand and Spot Instance Pools for High-throughput Computing . in ORMaCloud 2013, International Workshop on Optimization techniques for Resource Management in Clouds . ACM, New York, NY, USA .
ORMaCloud 2013, International Workshop on Optimization techniques for Resource Management in Clouds
ORMaCloud
Commercial cloud offerings let users allocate compute resources on demand, charging based on reserved time intervals. Users, however, lack guidance for assembling instance pools from different cloud instance types, in order to control completion time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a0e2e136e86e3074eae656bb1311390
https://research.vu.nl/en/publications/3c64e691-6ce9-475c-af88-939c30844679
https://research.vu.nl/en/publications/3c64e691-6ce9-475c-af88-939c30844679