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of 28
pro vyhledávání: '"Stefania Costache"'
Autor:
Stefania Costache
Publikováno v:
Cihannüma: Tarih ve Coğrafya Araştırmaları Dergisi, Vol 3, Iss 1, Pp 23-43 (2017)
Ruscuk ayanı Alemdar Mustafa Paşa’nın sarraf ve yardımcısı olan Ermeni Manuk Mirzayan’nın (ö. 1817), hayatı ve siyasi kariyeri 19. yüzyılın ilk yarısında Osmanlı-Rus bir arabulucunun stratejilerini anlamak açısından çok iyi bir
Externí odkaz:
https://doaj.org/article/1d252305d42441558012431fc180ca46
Autor:
Stefania Costache, Andreea Sandu, Thilo Kielmann, Ana-Maria Oprescu, Alexandru Uta, Ove Danner, Cas van der Weegen
Publikováno v:
Future Generation Computer Systems, 82(May), 631-646. Elsevier
Uta, A, Danner, O, van der Weegen, C, Oprescu, A M, Sandu, A, Costache, S & Kielmann, T 2018, ' MemEFS: A network-aware elastic in-memory runtime distributed file system ', Future Generation Computer Systems, vol. 82, no. May, pp. 631-646 . https://doi.org/10.1016/j.future.2017.03.017
Uta, A, Danner, O, van der Weegen, C, Oprescu, A M, Sandu, A, Costache, S & Kielmann, T 2018, ' MemEFS: A network-aware elastic in-memory runtime distributed file system ', Future Generation Computer Systems, vol. 82, no. May, pp. 631-646 . https://doi.org/10.1016/j.future.2017.03.017
Scientific domains such as astronomy or bioinformatics produce increasingly large amounts of data that need to be analyzed. Such analyses are modeled as scientific workflows — applications composed of many individual tasks that exhibit data depende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::427782a58ff7eb17e545760890ab392a
https://research.vu.nl/en/publications/6210dab5-f526-4cb5-8544-d00e9a743960
https://research.vu.nl/en/publications/6210dab5-f526-4cb5-8544-d00e9a743960
Publikováno v:
SoCC
Hosting data analytics services is challenging as their workload is often composed of on-line (e.g., interactive or streaming), requiring fast on-demand provisioning, and batch jobs. As workload demand fluctuations lead to varying idle capacity, effi
Publikováno v:
SoCC
Spark Streaming discretizes streams of data into micro-batches, each of which is further sub-divided into tasks and processed in parallel to improve job throughput. Previous work [2, 3] has lowered end-to-end latency in Spark Streaming. However, two
Publikováno v:
Journal of Systems and Software
Journal of Systems and Software, Elsevier, 2017, ⟨10.1016/j.jss.2017.05.035⟩
Journal of Systems and Software, 2017, ⟨10.1016/j.jss.2017.05.035⟩
Journal of Systems and Software, Elsevier, 2017, ⟨10.1016/j.jss.2017.05.035⟩
Journal of Systems and Software, 2017, ⟨10.1016/j.jss.2017.05.035⟩
International audience; Platform-as-a-Service (PaaS) clouds offer services to automate the deployment and management of applications, relieving application owners of the complexity of managing the underlying infrastructure resources. However, applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f453d212e09b8edbabaaf35dfa4eb96
https://hal.archives-ouvertes.fr/hal-01534992
https://hal.archives-ouvertes.fr/hal-01534992
Publikováno v:
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing, 2017, 100, pp.85-102. ⟨10.1016/j.jpdc.2016.10.003⟩
Journal of Parallel and Distributed Computing, Elsevier, 2017, 100, pp.85-102. ⟨10.1016/j.jpdc.2016.10.003⟩
Journal of Parallel and Distributed Computing, 2017, 100, pp.85-102. ⟨10.1016/j.jpdc.2016.10.003⟩
Journal of Parallel and Distributed Computing, Elsevier, 2017, 100, pp.85-102. ⟨10.1016/j.jpdc.2016.10.003⟩
International audience; High Performance Computing (HPC) clouds need to be efficiently shared between selfish tenants having applications with different resource requirements and Service Level Objectives (SLOs). The main difficulty relies on providin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95cbf6ec1bad5aeef253e0f00f6101ca
https://hal.science/hal-01378536
https://hal.science/hal-01378536
Publikováno v:
Intelligent Vehicles Symposium
Vehicular sensors able to perceive and measure the environment, ranging from in-vehicle sensors to speed cameras, are revolutionizing how technology can interact with our daily lives, enabling Intelligent Vehicular Systems (IVSs). These sensors gener
Publikováno v:
ScienceCloud@HPDC
Workshop on Scientific Cloud Computing (ScienceCloud) 2015
Vrije Universiteit Amsterdam
Razavi, K, Costache, S V, Gardiman, A, Verstoep, K & Kielmann, T 2015, Scaling VM Deployment in an Open Source Cloud Stack . in Workshop on Scientific Cloud Computing (ScienceCloud) 2015 . ACM .
Workshop on Scientific Cloud Computing (ScienceCloud) 2015
Vrije Universiteit Amsterdam
Razavi, K, Costache, S V, Gardiman, A, Verstoep, K & Kielmann, T 2015, Scaling VM Deployment in an Open Source Cloud Stack . in Workshop on Scientific Cloud Computing (ScienceCloud) 2015 . ACM .
Interactive High Performance Computing (HPC) workloads take advantage of the elasticity of clouds to scale their computation based on user demand by dynamically provisioning virtual machines during their runtime. As in this case users require the res
Publikováno v:
Vrije Universiteit Amsterdam
11th IEEE International Conference on eScience
Uta, A, Sandu, A, Costache, S V & Kielmann, T 2015, MemEFS: an elastic in-memory runtime file system for escience applications . in 11th IEEE International Conference on eScience . IEEE .
e-Science
11th IEEE International Conference on eScience
Uta, A, Sandu, A, Costache, S V & Kielmann, T 2015, MemEFS: an elastic in-memory runtime file system for escience applications . in 11th IEEE International Conference on eScience . IEEE .
e-Science
Data-intensive scientific workflows exhibit inter-task dependencies that generate file-based communication schemes. In such scenarios, traditional disk-based storage systems often limit overall application performance and scalability. To overcome the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bc8acbe44bc59606995aadcef2a9f7e
https://hdl.handle.net/1871.1/e843bd0a-2d0b-45f0-942d-d41c909d444c
https://hdl.handle.net/1871.1/e843bd0a-2d0b-45f0-942d-d41c909d444c
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