High quality video streaming for mobile users is difficult to achieve in some areas of the world due to poor broadband capacity and sparse network coverage. We propose a bandwidth-sharing scheme to allow users with li...
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In the biotechnology field, the deployment of the Multiple Sequence Alignment (MSA) problem, which is a high performance computing demanding process, is one of the new challenges to address on the new parallel systems...
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Business models based on offering free services to people in exchange for their data are gaining importance and prevalence. The most prominent examples are social networks and, more recently, mobile social networks. H...
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ISBN:
(纸本)9781479907694
Business models based on offering free services to people in exchange for their data are gaining importance and prevalence. The most prominent examples are social networks and, more recently, mobile social networks. However, this trend is endangering users' privacy. We do not discuss the ethical and legal issues derived from this business model. Notwithstanding, we believe that users might have better and more privacy-aware alternatives enabling them to trade their privacy on their own. Thus, we introduce the concept of "Privacy as a Product" (PaaP) and we propose and describe a framework and a protocol based on the Raykova-Vo-Bellovin-Malkin protocol that enables users to share private data without the need for trusting the infrastructure (e.g. a social network).We show that our proposal is feasible in terms of computational and storage overhead. Hence, our solution opens the door to the new concept of "Privacy as a Product" and could be the foundation for implementations of privacy-aware social networks in which privacy plays a more central role, like in the healthcare sector.
In this paper we present a negotiation agent based on Genetic Algorithm (GA) and Surrogate Modelling for a multi-player multi-issue negotiation model under incomplete information scenarios to solve a resource-allocati...
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ISBN:
(纸本)9781479904532
In this paper we present a negotiation agent based on Genetic Algorithm (GA) and Surrogate Modelling for a multi-player multi-issue negotiation model under incomplete information scenarios to solve a resource-allocation problem. We consider a multi-lateral negotiation protocol by which agents make offers sequentially in consecutive rounds until the deadline is reached. Agents' offers represent suggestions about how to divide the available resources among all agents participating in the negotiation. Each agent may “Accept” or “Reject” the offers made by its opponents through selecting the “Accept” or “Reject” option. The GA is used to explore the space of offers and surrogates used to model the behaviours of individual opponent agents for enhanced genetic evolution of offers that is agreeable upon all agents. The GA population comprises of solution individuals that are formulated as matrices where a specialised three different search operators that take the matrix representation into considerations are considered. Experimental studies of the proposed negotiation agent under different scenarios demonstrated that the negotiations by the agents completed in agreement before the deadline is reached, while at the same time, maximising profits.
Recent decades have witnessed an explosive growth in the amounts of digital data in various fields of arts, science and engineering. Such data is generally of interest to a large number of people spread over wide geog...
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In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various project...
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In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various project...
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In this paper, we propose a taxonomy that characterizes and classifies different components of autonomic application management in Grids. We also survey several representative Grid systems developed by various projects world-wide to demonstrate the comprehensiveness of the taxonomy. The taxonomy not only highlights the similarities and differences of state-of-the-art technologies utilized in autonomic application management from the perspective of Grid computing, but also identifies the areas that require further research initiatives.
Today, a typical telemedicine system involves a small set of hospitals providing remote healthcare services to a small section of the society using nodal centers, mobile health units, etc. However, the benefits of a t...
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ISBN:
(纸本)9789898111784
Today, a typical telemedicine system involves a small set of hospitals providing remote healthcare services to a small section of the society using nodal centers, mobile health units, etc. However, the benefits of a telemedicine system increase with scale. One of the key requirements of such a large scale system is to allow large numbers of patient medical records, in the form of electronic files, to be efficiently stored and accessed from widely distributed locations. In this paper, we address the need for a distributed file system to manage patient data in large scale telemedicine systems. We use the resources of unreliable Internet edge nodes distributed among hospitals, labs, etc., to provide reliable file system services to patients and doctors. Besides building an Internet-based system that scales with the number of nodes and files, we also attempt to optimize record access times for doctors to provide timely responses.
The concept of using Internet edge nodes for High Performance Computing (HPC) applications has gained acceptance in recent times. Many of these HPC applications also have large I/O requirements. Consequently, an edge ...
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