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This paper deals with the development and implementation of a cloud screening algorithm for image time series, with the focus on the forthcoming Sentinel-2 satellites to be launched under the ESA Copernicus Programme. The proposed methodology is based on kernel ridge regression and exploits the temporal information to detect anomalous changes that correspond to cloud covers. The huge data volumes...
The recent advances in Grid and Cloud computing make new types of applications possible. At the same time, they require an infrastructure to implement heterogeneous computing resources time and cost-savely. Here, approaches that utilize design patterns, i.e., proven solutions to existing problems, seem to provide a good approach to enable these kind of applications. In this paper, we investigated...
In this paper, we investigate how MapReduce and Cloud computing can accelerate performance of applications and scale up the computing resources through a real data mining use case in the Biomedical Sciences. We have prototyped the data mining task using the MapReduce model and evaluated it in the Cloud. A performance evaluation model has been built for assessing the eff ciency of the prototype. The...
Multi-cluster is the common underlying architecture of most grid and cloud environments, which usually consist of multiple clusters located at different places. One important characteristic of such computing environments is the performance difference between intra-cluster and inter-cluster communications. Intra-cluster communication networks usually have shorter latency and larger bandwidth than inter-cluster...
The following topics are dealt with: cloud computing; information technology; Internet; parallel computing; grid computing; network-based computing; data security; data privacy; cluster computing; wireless networks; multimedia networking; service networking; Web applications; and peer-to-peer computing.
This paper presents a model for smart grid data management based on specific characteristics of cloud computing, such as distributed data management for real-time data gathering, parallel processing for real-time information retrieval, and ubiquitous access. The appliance of the cloud computing model meets the requirements of data and computing intensive smart grid applications. We gathered these...
The following topics are dealt with : computer architecture; data intensive and I/O computing; algorithm and application; P2P computing; service-oriented architecture; cluster computing; grid computing; cloud computing; performance evaluation; compilers and language; information retrieval; knowledge discovery; OS/resource management; wireless networks; and pervasive computing.
The impact of Parallel Computing Infrastructures (PCI) on energy consumption and CO2 emissions worldwide can no longer be ignored. So far, most actions taken have focused on energy efficiency of PCI's underlying hardware, direct reduction of CO2 emissions, or user policies targeted to optimize hardware usage and consequently ensure that most CO2 emissions are justified, thereby minimizing the impact...
Along with the development of grid computing and cloud computing, finite computing resources supplied by standalone server usually become the bottleneck in the process of system implementation of online trading platform. Moreover, It is difficult to reuse algorithm module and the system also becomes more complicated to achieve. Traditional online trading framework can not preferably solve the problem...
As part of a sleep monitoring project, we used actigraphy based on body-worn accelerometer sensors to remotely monitor and study the sleep-wake cycle of elderly staying at nursing homes. We have conducted a fifteen patient trial of a sleep activity pattern monitoring (SAPM) system at a local nursing home. The data was collected and stored in our server and the processing of the data was done offline...
Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similar in spirit to existing grid and HPC resource management and programming systems. These types of systems offer a new programming target for scalable application developers and have gained popularity over the past few years. However, most cloud computing systems...
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