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Graphics Processing Units (GPUs) have a huge number of cores to speed up graphical computations and they are being used in a wide area of general-purpose applications that require high performances. In this paper, GPU computing is exploited to model the signal propagation and the interference in large RFID systems, which are a promising solution for achieving pervasive computing since they offer the...
Application processes have to be efficiently performed on servers in a cluster with respect to not only performance but also energy consumption. In this paper, we consider a process migration (MG) approach to energy-efficiently performing an application process on servers in a cluster. In this paper, we propose a model to estimate the energy consumption of a server to perform processes. First, a process...
In order to realize high performance information systems, server cluster systems are widely used. Here, since application processes are performed on multiple servers, the larger electric energy is consumed in a server cluster. The delay time-based (DTB) algorithm is discussed to select a server for each request process so that the total energy consumption of a server cluster to perform application...
Semantic Web services (SWs) and P2P computing have emerged as new paradigms for solving complex problems by enabling large-scale aggregation and sharing of distributed computational resources. In this paper, we present a scalable approach based on epidemic discovery algorithm to discover new distributed and heterogeneous collaborative applications of large-scale distributed systems in a P2P network,...
This paper is concerned with the proposal of a numerical method to predict the movement of tsunami wave front by use of Dijkstra algorithm. Data for sea depth and land height are assigned to the nodes of rectangular meshes and the data values at the points except for these node points are approximated by linear interpolation. The velocity of tsunami wave front at any point is calculated in terms of...
In a cloud computing environment with multiple data centers over a wide area, it is highly likely that each data center would provide the different network delay to users at different locations. The authors proposed the joint multiple resource allocation method in a cloud computing environment that consists of multiple data centers and each data center provides the different network delay. However,...
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