Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Daniel Seybold"'
Autor:
Achilleas P. Achilleos, Kyriakos Kritikos, Alessandro Rossini, Georgia M. Kapitsaki, Jörg Domaschka, Michal Orzechowski, Daniel Seybold, Frank Griesinger, Nikolay Nikolov, Daniel Romero, George A. Papadopoulos
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-25 (2019)
Abstract Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor lock-in effect, mi
Externí odkaz:
https://doaj.org/article/6e58d73f74794a77b182a725cf186365
Autor:
Kyriakos Kritikos, Chrysostomos Zeginis, Joaquin Iranzo, Roman Sosa Gonzalez, Daniel Seybold, Frank Griesinger, Jörg Domaschka
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-29 (2019)
Abstract The Cloud offers enhanced flexibility in the management of resources for any kind of application while it promises the reduction of its cost as well as its infinite scalability. In this way, due to these advantages, there is a recent move to
Externí odkaz:
https://doaj.org/article/8d27666022f742889d233a913fdd896d
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-37 (2019)
Abstract Currently, the data to be explored and exploited by computing systems increases at an exponential rate. The massive amount of data or so-called “Big Data” put pressure on existing technologies for providing scalable, fast and efficient s
Externí odkaz:
https://doaj.org/article/3b2f7412959345b3aee063aeca928bf7
Publikováno v:
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering.
Publikováno v:
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering.
Autor:
André Bauer, Mark Leznik, Md Shahriar Iqbal, Daniel Seybold, Igor Trubin, Benjamin Erb, Jörg Domaschka, Pooyan Jamshidi
Publikováno v:
Companion of the 2022 ACM/SPEC International Conference on Performance Engineering.
Autor:
Mark Leznik, Johannes Grohmann, Nina Kliche, André Bauer, Daniel Seybold, Simon Eismann, Samuel Kounev, Jörg Domaschka
Publikováno v:
Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering.
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031104602
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99371817f01fbec179957c7b86756d67
https://doi.org/10.1007/978-3-031-10461-9_48
https://doi.org/10.1007/978-3-031-10461-9_48
Autor:
Daniel Seybold, Jörg Domaschka
Publikováno v:
Proceedings of the 22nd International Middleware Conference: Demos and Posters.
Database Management Systems (DBMS) operated on cloud resources are the storage backend for a multitude of data-intensive applications. In the process of finding the optimal cloud and DBMS, benchmarking is the common approach to evaluate the non-funct
Autor:
Michal Orzechowski, Georgia M. Kapitsaki, Daniel Romero, Kyriakos Kritikos, Daniel Seybold, Frank Griesinger, George A. Papadopoulos, Alessandro Rossini, Nikolay Nikolov, Jörg Domaschka, Achilleas Achilleos
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 8, Iss 1, Pp 1-25 (2019)
Journal of Cloud Computing-Advances, Systems and Applications
Journal of Cloud Computing-Advances, Systems and Applications
Cloud computing offers a flexible pay-as-you-go model for provisioning application resources, which enables applications to scale on-demand based on the current workload. In many cases, though, users face the single vendor lock-in effect, missing opp