PDC at UM, is a series of "codeless" modules consisting of visualizations, simulations, and demonstrations which introduce parallel and distributedcomputing (PDC) concepts in early computing courses. These ...
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ISBN:
(纸本)9798350364613;9798350364606
PDC at UM, is a series of "codeless" modules consisting of visualizations, simulations, and demonstrations which introduce parallel and distributedcomputing (PDC) concepts in early computing courses. These materials are codeless because they do not require students to write or understand code. Instead, students read a short introduction to a PDC concept and Then engage with a web-based visualization and/or (code-based) demonstration reinforcing the concept. The codeless nature of these modules makes them suitable for computing and non computing majors. To test the effectiveness of our modules we introduced them into two CSI courses and designed and administered a pre/posttest. Our results show statistically significant results: those who engaged with our modules substantially improved their knowledge and understanding of PDC concepts. Our modules also improved student attitudes, confidence and self-efficacy with respect to PDC topics. We also provide some qualitative observations of our study and identify common misconceptions students have about PDC.
The prototype system of power Internet application business risk management is the basis for the research of power Internet operation and maintenance, risk management and fault early warning. Integrate existing simula...
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The demand for large-scale computing, such as the application of AI in big data analytics and engineering simulations, has been steadily increasing. Meanwhile, many companies and individuals now own smartphones and PC...
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ISBN:
(纸本)9783031488023;9783031488030
The demand for large-scale computing, such as the application of AI in big data analytics and engineering simulations, has been steadily increasing. Meanwhile, many companies and individuals now own smartphones and PCs, but a significant portion of these IT assets remains underutilised, especially overnight or utilised as computing resources. This paper solves these issues by proposing to use these resources in a distributed system. This system highlights the opportunities for cost-effective and resource-efficient high-performance computing(HPC) solutions by utilising underutilised resources. The original distributedcomputing system framework SMPDG will be described in this paper.
For the decision-making problem of integrated energy system, a 14-dimensional index system with universality is proposed from four aspects: technology, economy, reliability and environmental protection. By improving t...
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IoT smart applications must deal with the inherently distributed nature of IoT infrastructures that may vary among different deployments. For example, in urban environments, some deployments may require distributed ed...
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ISBN:
(纸本)9798350369458;9798350369441
IoT smart applications must deal with the inherently distributed nature of IoT infrastructures that may vary among different deployments. For example, in urban environments, some deployments may require distributed edge nodes to support the sensors and actuators, while others may skip this processing stage and go directly to the cloud. We propose the concept of an IoT computing Continuum, or IoTinuum, with multiple computing stages spread over the distributed IoT infrastructure. We present the modeling and implementation of two urban use cases for a 6-stage IoTinuum: smart drone delivery and smart structural monitoring. In our experience, the IoTinuum improves the understanding of function placement in application development and reveals important performance tradeoffs.
This paper presents a distributed learning approach designed to assist physicians in diagnosing diseases based on a patient's current health status, clinical history, and test results. The methodology relies on ne...
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ISBN:
(纸本)9798350369458;9798350369441
This paper presents a distributed learning approach designed to assist physicians in diagnosing diseases based on a patient's current health status, clinical history, and test results. The methodology relies on neural network models and supervised classifiers to identify illnesses. It utilizes word embedding to capture semantic relationships among hospital admissions, symptoms, and diagnoses. Additionally, it introduces a method to evaluate the connection between different diagnoses based on symptom similarity, aiding in prediction tasks. Experimental results on a real-world Electronic Health Records (EHR) dataset showcase the effectiveness and accuracy of the proposed technique, providing clinically relevant interpretations. These findings suggest promising avenues for future enhancements of the framework as a valuable diagnostic tool.
In the advanced alignment measurement and control system of extreme ultraviolet lithography (EUV) equipment, it is necessary to process the optical signal carrying the position information and extract the high-precisi...
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Cyber-physical swarms represent a paradigm shift in distributed systems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these comp...
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ISBN:
(纸本)9798350369458;9798350369441
Cyber-physical swarms represent a paradigm shift in distributed systems, mirroring characteristics akin to natural swarms, such as self-organization, scalability, and fault tolerance. This paper delves into these complex systems, characterized by vast networks of cyber-physical entities with limited environmental awareness, yet capable of exhibiting emergent collective behaviors. These systems encompass a diverse array of scenarios, ranging from swarm robotics to the interconnectivity in smart cities, as well as the collaboration among augmented humans. The engineering of such systems presents unique challenges, primarily due to their intricate complexity and the spontaneous nature of their collective behaviors. This paper aims to dissect these challenges, offering a clear delineation of potential approaches. We present a comprehensive analysis, shedding light on the intricacies of engineering cyberphysical swarms and discussing modern solutions in engineering collective applications for such systems.
The growing heterogeneity and decentralization in the modern computing paradigm of edge-cloud continuum introduces new constraints on storage systems, such as storage type, associated processors, privacy, scarce resou...
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ISBN:
(纸本)9798350363074;9798350363081
The growing heterogeneity and decentralization in the modern computing paradigm of edge-cloud continuum introduces new constraints on storage systems, such as storage type, associated processors, privacy, scarce resources, compliance, GDPR and geographical restrictions. While existing distributed data and object stores can ensure data availability and faulttolerance, they are not flexible or dynamic enough to address these diverse set of constraints. In this paper, we introduce a modular policy-driven data placement framework, CATER, designed to seamlessly integrate with existing storage systems and overcome the aforementioned limitations. CATER formulates the data placement problem as an optimization model, incorporating data collocation and hardware constraints. We integrated a prototype of CATER with Apache Ozone and conducted experiments and simulations. Results show a 23% improvement in data placement while respecting 100% of the constraints.
The authors present a framework for computer science (CS) instructors to evaluate and strengthen junior and senior undergraduate students’ understanding of parallel and distributedcomputing (PDC) concepts through a ...
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