The problem of test based diagnostics of distributed control system specified by a configuration graph is analyzed. The model of diagnosed system is designed as a linear periodically non-stationary dynamic system acco...
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Data centers' exponential consumption of energy and resources has been testing the planetary limitations. While increasing energy-efficiency of computing resources remains important, the growing demand of cloud co...
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ISBN:
(纸本)9781450371650
Data centers' exponential consumption of energy and resources has been testing the planetary limitations. While increasing energy-efficiency of computing resources remains important, the growing demand of cloud computing demand researchers' and policy makers' attention on the systemic outcomes of ever-increasing use on digital platforms. By introducing system thinking on the interactions of energy use and user activities on Internet platforms, this paper proposes a conceptual framework of people-centered computing within limits. To show the usefulness of the framework, the paper uses Ant Forest of Alibaba as an illustrative case. The proposed framework highlights the importance to consider planetary limits of computing resources when encouraging sustainable behaviors that are often dictated by Internet platforms. Further, as leadership resources, systems.thinking expand the implications for green data centers to introduce policy, design, and user interventions within limits.
The paper observes the mathematical model synthesis of a drilling rig procedure after adding pulse unit heaters into it. Fundamentals for construction of the mathematical model are the Green function and the classical...
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Parallel distributed Processing approaches are relatively new. A distributed cloud is the application of cloud computing technologies to interconnect data and applications served from multiple geographic locations. A ...
ISBN:
(数字)9781728182315
ISBN:
(纸本)9781728182322
Parallel distributed Processing approaches are relatively new. A distributed cloud is the application of cloud computing technologies to interconnect data and applications served from multiple geographic locations. A distributed information technology (IT) means that something is shared among multiple systems.that may also be in the same or different locations. The amount of data and exhausted time to process them and regulate the expected results efficiently and in as lowest as possible time has been expanded enormous. Therefore, it is essential to prepare approaches to enhance parallel processing techniques via cloud computing.
In this work, we present a new model to improve city traffic with the aim of reducing congestion and travel time. This model is inspired by the process used in task scheduling and load balancing problem in distributed...
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ISBN:
(纸本)9781728100036
In this work, we present a new model to improve city traffic with the aim of reducing congestion and travel time. This model is inspired by the process used in task scheduling and load balancing problem in distributedsystems.to reduce makespan based on optimization methods such as ACO. The makespan in this case of application corresponds to the time wasted in traffic jams. The results obtained are satisfactory and confirm that it is necessary to optimize traffic congestion problems in smart cities in order to regulate the traffic flow and to inform drivers in real-time on the associated routes in order to fight congestion, energy waste and therefore generate less pollution.
The study addresses the management of lowering the aquifer's potentiometric surface of the Kislovodskoye mineral water field in order to save the reserves and quality of mineral water. Successful controlling requi...
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With the rapid development of Internet, Internet of Things (IOT) and cloud computing technology, human society has entered the era of big data. How to mine effective information from massive data, assist decision-maki...
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ISBN:
(纸本)9781538662434
With the rapid development of Internet, Internet of Things (IOT) and cloud computing technology, human society has entered the era of big data. How to mine effective information from massive data, assist decision-making, and realize the value of large data? Big data analysis plays a key role. Based on the analysis of Hadoop's ecological architecture, the basic process of large data analysis based on Hadoop was presented in this study, and the technical recommendation for off-line and real-time typical application scenarios was proposed. Finally, Hadoop was used to build the application environment, and WordCount case was combined to analyze Map and Reduce calculation process, in order to provide some reference value for the construction of big data platform and big data analysis and processing.
distributed simulation with a virtual environment of quality is a qualified teaching solution, especially in the military field. A soldier's performance will be better if deployed preferably in a known combat spac...
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The proceedings contain 37 papers. The topics discussed include: improving the accuracy of the autonomous mobile robot localization systems.based on the multiple sensor fusion methods;an efficient design of precoding ...
ISBN:
(纸本)9781538679630
The proceedings contain 37 papers. The topics discussed include: improving the accuracy of the autonomous mobile robot localization systems.based on the multiple sensor fusion methods;an efficient design of precoding and equalization to reduce BER of multi-path MIMO channels;proposing adaptive PN sequence length scheme for testing non-destructive structure using DS-UWB;a rank-deficient and sparse penalized optimization model for compressive indoor radar imaging;an improved volume coherence optimization method for forest height estimation using PolInSAR images;energy-quality scalable integrated systems.- preserving energy downscaling in the decade ahead;embedding strategic intelligence in wireless communications and sensing systems.network coding with multimedia transmission: a software-defined-radio based implementation;and a chip timing recovery scheme for Walsh-Hadamard code division multiplexing.
Performance modeling of parallel applications on distributed memory systems.is a challenging task due to the effects of CPU speed, memory access time, and communication cost. In this paper, we propose a simple and int...
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ISBN:
(纸本)9781450366328
Performance modeling of parallel applications on distributed memory systems.is a challenging task due to the effects of CPU speed, memory access time, and communication cost. In this paper, we propose a simple and intuitive graphical model, which extends the widely used Roofline performance model to include the communication cost in addition to the memory access time and the peak CPU performance. This new performance model inherits the simplicity of the original Roofline model and enables performance evaluation on a third dimension of communication performance. Such a model will greatly facilitate and expedite the analysis, development and optimization of parallel programs on high-end computer systems. We empirically validate the extended new Roofline model using floating-point-computation-bound, memory-bound, and communication-bound applications. Three distinct high-end computing platforms have been tested: 1) high performance computing (HPC) systems. 2) high throughput computingsystems. and 3) cloud computingsystems. Our experimental results with four different parallel applications show that the new model can approximately evaluate the performance of different programs on various distributed-memory systems. Furthermore, the extended new model is able to provide insight into how the problem size can affect the upper bound performance of parallel applications, which is a special property revealed by the new dimension of communication cost analysis.
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