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This article contains description how to create prediction models for more efficient utilization of running IT resources. Prediction model creation is presented as one of the most important steps within the process of the knowledge discovery. Presented models were created based on real data from a local IT company by means of the programming language R. This article also marginally covers the steps,...
Using an existing large-scale realistic discrete event simulation model of a mobile distributed system we model the infrastructure and dependencies of 2G, 3G and 4G mobile data networks. We investigate the effects of the different network generations and of transitioning connections between networks on the typical behaviour of the distributed system. In particular we enable the model to simulate regional...
Power efficiency and predictable performance have become major concerns for cloud service providers as they significantly affect cloud adoption and tenancy cost. Providing guaranteed resources for predictable performance in data centers drives the need for a request model which abstracts the traffic characteristics as well as the resource requirements of tenant applications. In this paper, we propose...
Traditional centralized electrical system is changing towards the distributed generation with additional smart control features based system - so called smart grid system. Current SCADA systems for the smart grid are not satisfactory enough and a new supervisory system is needed. The new system, a smart grid testbed, will take into account all of the smart grid components. In the paper a framework...
One of the biggest problems facing Web-based Information Systems (WIS) is the complexity of the information searching/retrieval processes, especially the information overload, to distinguish between relevant and irrelevant content. In an attempt to solve this problem, a wide range of techniques based on different areas has been developed and applied to WIS. One of these techniques is the information...
Cloud computing carries the promise of powerful models and abstractions that could transform the way IT services are delivered today. While the cloud's economic model has been argued to provide cost benefits compared to traditional in-house IT delivery, it remains to be seen how this argument changes for different business applications and environments. In this paper, we develop a framework for exploring...
The research system of data mining and analysis for statistics in Qinghai Province is a manifest analysis, inquiry, and service system built up upon the existing network of the provincial statistics bureau with the increasing national, local and social concern on statistics and the rapid expansion of the statistic information and aiming at meeting the needs of governments for statistic information...
High-throughput bioinformatics research is complex and requires the combination of multiple experimental approaches each producing large amounts of diverse data. The analysis and evaluation of these data are equally complex requiring specific integrations of various software components into complex workflows. The challenge is to provide less technically involved bioinformaticians with simple interfaces...
Cloud computing often uses a multi-tenant architecture where tenants share application and system software. Request prioritization presents a challenge in this architecture. Tenant may have individual (local) prioritization requirements, and these requirements can be different for different tenants. The shared application must use a global priority scheme for requests from all the tenants. This paper...
Recognizing the value of an advanced metering infrastructure (AMI), utilities worldwide are deploying millions of smart meters. To better justify AMI investment, researchers have recognized the urgency to utilize the full potential of AMI to improve the quality of distribution management system (DMS) applications. However, the integration of AMI and DMS is a challenge as it entails different communication...
Knowledge develops and spreads rapidly in quality, quantity, profundity and extension. Recently, many researchers pay increased attention to knowledge elements. Knowledge elements are useful for knowledge management. This paper describes a new model of knowledge element to organize knowledge, presents the description of the model, and demonstrates the implementation of the model.
For the purpose of medical education, our research team is creating LINDSAY, a 3-dimensional, interactive computer model of male and female anatomy and physiology. As part of the LINDSAY—Virtual Human project, we have developed a component-based computational framework that allows the utilization of various formal representations, computation engines and visualization technologies within a single...
In this paper we present Real time biomedical data Streaming platform (RIMES), a data-intensive virtual environment, under joint development by Computer Network Information Center and University of California, San Diego. RIMES extends scientists' desktops to biomedical grid computation resources and mass storage systems, by means of streaming biomedical data through internet-based Data Turbine cloud...
Mutually successful win-win outcomes in complex IT service engagements are by no means easy to achieve. Typically, provider and client represent complex organizational entities with multiple agendas and diverse stakeholders involved in long-term engagements. Unsurprisingly, new opportunities to create value arise; however, value propositions can fail to be realized, especially when the provider has...
Using order processing system simulation can help the analysis and realization of workflow management, scheduling and decision of distribution center and the optimization of system configuration; it can also judge whether the system can meet its quick-response design requirements and examine the practicability of system indicators. By using Extend module, this paper established a dynamic model of...
During the study of abnormal capital flow, people can not access to a real financial transaction data as a result of many factors, therefore this article took the ways of intelligent agent role simulation, designed an agent decision-making model to verify the data collected. And from different perspectives the visualization of supervision to capital abnormal flow can be achieved.
Scientific workflow has become an important tool used by scientists to operate distributed resources in current scientific research. However, the gap between scientific domain and workflow specification has increased the difficulty of adopting scientific workflow. Further, the lack of collaborative mechanism has gradually become a major obstacle for scientists to share scientific workflow. In this...
Geospatial data are important to understand the Earth - ecosystem dynamics, land cover changes, resource management, and human interactions with the Earth to name a few. One of the biggest difficulties users face is to discover, access, and assemble distributed, large volume, heterogeneous geospatial data to conduct geo-analysis. Traditional methods of geospatial data discovery, visualization, and...
In this work we analyze propagation of files in the BitTorrent network. The paper covers security problems in peer-to-peer networks and establishes a Malware propagation model. We give overview of existing models and their weaknesses and introduce a propagation or epidemiological model based on model based on real data and real user behavior in the peer-to-peer network BitTorrent. We describe our...
This with the development of sports and modern computer technologies, a great deal of data were recorded, including training data of athletes, test data of students in sports course, and test data of physical health standard (PHS). However, usage of these records is limited. Patterns and relationships among data may still retain hidden. Data mining, usually applied in business fields, is a helpful...
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