Tyt. z nagłówka.Pozostali autorzy artykułu: Dariusz Król, Kornel Skałkowski, Michał Orzechowski, Darin Nikolow, Bartosz Kryza, Michał Wrzeszcz, Jacek Kitowski.Bibliogr. s. 71-72.This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan, which supports storage QoS provisioning for data-intensive applications in distributed environments. QStorMan exploits knowledgeoriented methods for matching storage resources to non-functional requirements, which are defined for a data-intensive application. In order to support various usage scenarios, QStorMan provides two interfaces, such as programming libraries or a web portal. The interfaces allow to define the requirements either directly in an application source code...
Traditional data storage systems provide access to user’s data on the “besteffort” basis. While this...
Although the cloud computing domain is progressing rapidly, the deployment of various network intens...
Grid computing provides a robust paradigm for aggregating disparate resources in a secure and contro...
This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan, which s...
Abstract This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan...
In this paper a method for execution programming of data-intensive applications is presented. The me...
In this paper we present a semantic-based approach for supporting data-intensive applications in dis...
In this paper we describe a semi-automatic programming framework for supporting userswith managing t...
Głównym elementem pracy jest system składowania danych w chmurze, zapewniający zróżnicowaną jakość u...
e-Science applications increasingly require both computational power and storage resources, currentl...
Over the last few decades, the needs of computational power and data storage by collaborative, distr...
AbstractThe scientific applications of the fourth paradigm of science deal with large amounts of dat...
There is high demand for storage related services supporting scientists in their research activitie...
Policy-based storage management has been advertised as the silver bullet to overcome the complexity ...
Nowadays, data intensive applications demand high-performance and large-storage systems capable of s...
Traditional data storage systems provide access to user’s data on the “besteffort” basis. While this...
Although the cloud computing domain is progressing rapidly, the deployment of various network intens...
Grid computing provides a robust paradigm for aggregating disparate resources in a secure and contro...
This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan, which s...
Abstract This paper describes a programming toolkit developed in the PL-Grid project, named QStorMan...
In this paper a method for execution programming of data-intensive applications is presented. The me...
In this paper we present a semantic-based approach for supporting data-intensive applications in dis...
In this paper we describe a semi-automatic programming framework for supporting userswith managing t...
Głównym elementem pracy jest system składowania danych w chmurze, zapewniający zróżnicowaną jakość u...
e-Science applications increasingly require both computational power and storage resources, currentl...
Over the last few decades, the needs of computational power and data storage by collaborative, distr...
AbstractThe scientific applications of the fourth paradigm of science deal with large amounts of dat...
There is high demand for storage related services supporting scientists in their research activitie...
Policy-based storage management has been advertised as the silver bullet to overcome the complexity ...
Nowadays, data intensive applications demand high-performance and large-storage systems capable of s...
Traditional data storage systems provide access to user’s data on the “besteffort” basis. While this...
Although the cloud computing domain is progressing rapidly, the deployment of various network intens...
Grid computing provides a robust paradigm for aggregating disparate resources in a secure and contro...