Although clusters usually represent a single large resource for grid computing, most of the time they are utilized as individual resources for desktop grids. This chapter presents a lightweight, fault-tolerant approach for connecting firewalled already deployed clusters for desktop grid computing. It allows to easily offer cluster resources for desktop grids without requiring a large administrative overhead of connecting them separately. Our approach uses Condor for cluster management and an extended version of BOINC to connect those resources across the Internet or wide area networks. We describe security considerations and present our security model for the system and sharing resources. We present running projects where our solution is be...
SZTAKI Desktop Grid (SZDG) is an extension of BOINC in order to make it more flexible, versatile and...
Data management in parallel computing systems is a broad and increasingly important research topic. ...
The computational Grid has popularized the idea of sharing resources such as compute cycles, storage...
Grid computing presents two major challenges for deploying large scale applications across wide area...
ISBN: 0-7695-1919-9International audienceGrid computing presents two major challenges for deploying ...
Reducing the cost for business or scientific computations, is a commonly expressed goal in today’s c...
Reducing the cost for business or scientific computations, is a commonly expressed goal in today’s c...
The need to perform large numbers of complex\ud simulation computations forms a large part of the\ud...
Desktop grids are easy to install on large number of personal computers, which is a prerequisite for...
So far BOINC based desktop grid systems have been applied at the global computing level. This paper ...
In this paper, we discuss how Peer-to-Peer data distribution techniques can be adapted to Desktop Gr...
In this paper we present a concept how separate desktop grids can be used as building blocks for lar...
SZTAKI desktop grid: building a scalable, secure platform for desktop grid computing
The rising popularity of grid computing makes the issues of growth, security, and access critical in...
Abstract. Grid computing is a promising technology for utilizing dis-tributed computing resources se...
SZTAKI Desktop Grid (SZDG) is an extension of BOINC in order to make it more flexible, versatile and...
Data management in parallel computing systems is a broad and increasingly important research topic. ...
The computational Grid has popularized the idea of sharing resources such as compute cycles, storage...
Grid computing presents two major challenges for deploying large scale applications across wide area...
ISBN: 0-7695-1919-9International audienceGrid computing presents two major challenges for deploying ...
Reducing the cost for business or scientific computations, is a commonly expressed goal in today’s c...
Reducing the cost for business or scientific computations, is a commonly expressed goal in today’s c...
The need to perform large numbers of complex\ud simulation computations forms a large part of the\ud...
Desktop grids are easy to install on large number of personal computers, which is a prerequisite for...
So far BOINC based desktop grid systems have been applied at the global computing level. This paper ...
In this paper, we discuss how Peer-to-Peer data distribution techniques can be adapted to Desktop Gr...
In this paper we present a concept how separate desktop grids can be used as building blocks for lar...
SZTAKI desktop grid: building a scalable, secure platform for desktop grid computing
The rising popularity of grid computing makes the issues of growth, security, and access critical in...
Abstract. Grid computing is a promising technology for utilizing dis-tributed computing resources se...
SZTAKI Desktop Grid (SZDG) is an extension of BOINC in order to make it more flexible, versatile and...
Data management in parallel computing systems is a broad and increasingly important research topic. ...
The computational Grid has popularized the idea of sharing resources such as compute cycles, storage...