Abstract: In this paper, the availability of the Resource Management System (RMS) and computational resources distributed within grid computing environments is studied. Since the RMS acts as a heart of the grid environments, the unavailability of this system can render the entire environment to the inoperable phase. Furthermore, the unavailability of the grid resources may result in degradation of the performance of the grid. Therefore, considering the great importance of the availability issue in grid computing environments, the Stochastic Activity Networks (SANs) are exploited to model and evaluate the availability of grid environments. The proposed SAN models the failure of the resource management servers and grid resources, filling the ...
In large-scale grid environments, accurate failure prediction is critical to achieve effective resou...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Fog computing is an increasingly popular method with which to process the huge amount of data genera...
This paper has been submitted to the Grid'2007 conference.Currently deployed grids gather together t...
Currently deployed grids gather together thousands of computational and storage resources for the be...
Abstract The frequent and volatile unavailability of volunteer-based grid computing resources challe...
AbstractThe point availability is the probability that a system is available at time t. As grids nee...
Desktop grids are compute platforms that aggregate and harvest the idle CPU cycles of individually o...
Resources in the Grid exhibit different availability properties and patterns over time, mainly due t...
Grid computing is an innovative technology for using geographically distributed resources in order t...
Volunteer-based grid computing resources are characteristically volatile and frequently become unava...
This work presents a method for predicting resource availability in opportunistic grids by means of ...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Failure is inevitable in scientific computing. As scientific applications and facilities increase th...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
In large-scale grid environments, accurate failure prediction is critical to achieve effective resou...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Fog computing is an increasingly popular method with which to process the huge amount of data genera...
This paper has been submitted to the Grid'2007 conference.Currently deployed grids gather together t...
Currently deployed grids gather together thousands of computational and storage resources for the be...
Abstract The frequent and volatile unavailability of volunteer-based grid computing resources challe...
AbstractThe point availability is the probability that a system is available at time t. As grids nee...
Desktop grids are compute platforms that aggregate and harvest the idle CPU cycles of individually o...
Resources in the Grid exhibit different availability properties and patterns over time, mainly due t...
Grid computing is an innovative technology for using geographically distributed resources in order t...
Volunteer-based grid computing resources are characteristically volatile and frequently become unava...
This work presents a method for predicting resource availability in opportunistic grids by means of ...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Failure is inevitable in scientific computing. As scientific applications and facilities increase th...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
In large-scale grid environments, accurate failure prediction is critical to achieve effective resou...
Complex computational tasks are combinations of multiple independent computational subtasks related ...
Fog computing is an increasingly popular method with which to process the huge amount of data genera...