Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Kimovski, Dragi"'
Autor:
Mehran, Narges, Kimovski, Dragi, Hellwagner, Hermann, Roman, Dumitru, Soylu, Ahmet, Prodan, Radu
The demand for distributed applications has significantly increased over the past decade, with improvements in machine learning techniques fueling this growth. These applications predominantly utilize Cloud data centers for high-performance computing
Externí odkaz:
http://arxiv.org/abs/2405.00005
The introduction of electronic personal health records (EHR) enables nationwide information exchange and curation among different health care systems. However, the current EHR systems do not provide transparent means for diagnosis support, medical re
Externí odkaz:
http://arxiv.org/abs/2207.14584
Autor:
Al-Dulaimy, Auday, Jansen, Matthijs, Johansson, Bjarne, Trivedi, Animesh, Iosup, Alexandru, Ashjaei, Mohammad, Galletta, Antonino, Kimovski, Dragi, Prodan, Radu, Tserpes, Konstantinos, Kousiouris, George, Giannakos, Chris, Brandic, Ivona, Ali, Nawfal, Bondi, André B., Papadopoulos, Alessandro V.
Publikováno v:
In Internet of Things October 2024 27
Video streaming became an undivided part of the Internet. To efficiently utilize the limited network bandwidth it is essential to encode the video content. However, encoding is a computationally intensive task, involving high-performance resources pr
Externí odkaz:
http://arxiv.org/abs/2106.06242
Latency-sensitive and bandwidth-intensive stream processing applications are dominant traffic generators over the Internet network. A stream consists of a continuous sequence of data elements, which require processing in nearly real-time. To improve
Externí odkaz:
http://arxiv.org/abs/2105.07936
Autor:
Kimovski, Dragi, Mathá, Roland, Hammer, Josef, Mehran, Narges, Hellwagner, Hermann, Prodan, Radu
Publikováno v:
IEEE Internet Computing 2021
The computing continuum extends the high-performance cloud data centers with energy-efficient and low-latency devices close to the data sources located at the edge of the network. However, the heterogeneity of the computing continuum raises multiple
Externí odkaz:
http://arxiv.org/abs/2101.10417
The emergence of the Fog computing paradigm that leverages in-network virtualized resources raises important challenges in terms of resource and IoT application management in a heterogeneous environment offering only limited computing resources. In t
Externí odkaz:
http://arxiv.org/abs/1908.01153
Publikováno v:
Euro-Par 2016: Euro-Par 2016: Parallel Processing Workshops
The emerging trend of Federated Cloud models enlist virtualization as a significant concept to offer a large scale distributed Infrastructure as a Service collaborative paradigm to end users. Virtualization leverage Virtual Machines (VM) instantiated
Externí odkaz:
http://arxiv.org/abs/1906.09182
Publikováno v:
33rd IEEE International Parallel & Distributed Processing Symposium , IPDPS 2019, Rio de Janerio, Brazil (May 20-24 2019)
Infrastructure-as-a-service (IaaS) Clouds concurrently accommodate diverse sets of user requests, requiring an efficient strategy for storing and retrieving virtual machine images (VMIs) at a large scale. The VMI storage management require dealing wi
Externí odkaz:
http://arxiv.org/abs/1906.09122
During the last decade, Cloud computing has efficiently exploited the economy of scale by providing low cost computational and storage resources over the Internet, eventually leading to consolidation of computing resources into large data centers. Ho
Externí odkaz:
http://arxiv.org/abs/1803.03444