A Proposed Asynchronous Object Load Balancing Method for Parallel 3D Image Reconstruction Applications

Bermejo, José Antonio Álvarez; Roca-Piera, Javier

doi:10.1007/978-3-642-13119-6_39

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…A farm cpan based model (see Fig.2) was used to have fully concurrent charm objects per processor. Load balancing is executed asynchronously as exposed in [11]. Figure 2 shows an implementation proposal for the licensing server.…”

Section: Methodsmentioning

confidence: 99%

“…In order to avoid that the monitoring of the computation affects performance, agents are able to send signals to a special object that do not belong to the computation. This object gathers signaling information from agents and is able to detect a decrease in performance [11] so load balancing is invoked asynchronously and agents are moved to other computing nodes.…”

Section: Methodsmentioning

confidence: 99%

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Tracking Traitors in Web Services via Blind Signatures

Bermejo

López-Ramos

2013

Advances in Intelligent Systems and Computing

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Abstract. This paper presents a method and its implementation, built on the blind signatures protocol, to trace users sharing their licenses illegally when accessing services provided through Internet (Web services, Streaming, etc). The method devised is able to identify the legitimate user from those users who are illegally accessing services with a shared key. This method is robust when detecting licenses built with no authorization. An enhancement of the protocol to identify the last usage of a certain license is also provided, allowing to detect a traitor when an unauthorized copy of a license is used.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Tracking Traitors in Web Services via Blind Signatures

Bermejo

López-Ramos

2013

Advances in Intelligent Systems and Computing

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Efficient resource management for virtual desktop cloud computing

et al. 2012

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In virtual desktop cloud computing, user applications are executed in virtual desktops on remote servers. This offers great advantages in terms of usability and resource utilization; however, handling a large amount of clients in the most efficient manner poses important challenges. Especially deciding how many clients to handle on one server, and where to execute the user applications at each time is important. Assigning too many users to one server leads to customer dissatisfaction, while assigning too little leads to higher investments costs. We study different aspects to optimize the resource usage and customer satisfaction. The results of the paper indicate that the resource utilization can increase with 29% by applying the proposed optimizations. Up to 36.6% energy can be saved when the size of the online server pool is adapted to the system load by putting redundant hosts into sleep mode.

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A Proposed Asynchronous Object Load Balancing Method for Parallel 3D Image Reconstruction Applications

Cited by 2 publications

References 8 publications

Tracking Traitors in Web Services via Blind Signatures

Tracking Traitors in Web Services via Blind Signatures

Efficient resource management for virtual desktop cloud computing

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