Distributed Computing and Internet Technology
Springer International Publishing (Verlag)
9783030656201 (ISBN)
The 13 full papers presented together with 4 short papers were carefully reviewed and selected from 99 submissions. The papers were organized in topical sections named: invited talks, cloud computing and networks, distributed algorithms, concurrency and parallelism, graph algorithms and security, social networks and machine learning, and short papers.
The Bloom Clock for Causality Testing.- Model Development in the Tool USE: Explorative, Consolidating and Analytic Steps for UML and OCL Models.- ReLink: Open Information Extraction by Linking Phrases and ist applications.- Cloud Computing and Networks.- Energy-efficient Scheduling of Deadline-sensitive and Budget-constrained Work ows in the Cloud.- An Efficient Renewable Energy-Based Scheduling Algorithm for Cloud Computing.- A Revenue-Based Service Management Algorithm for Vehicular Cloud Computing.- Interference Reduction in Directional Wireless Networks.- Distributed Algorithms, Concurrency and Parallelism.- Automated Deadlock Detection for Large Java Libraries.- DNet: An Efficient Privacy-preserving Distributed Learning Framework for Healthcare Systems.- Memory Optimized Dynamic Matrix Chain Multiplication Using Shared Memory in GPU.- Graph Algorithms and Security.- Parameterized Complexity of Defensive and O ensive Alliances in Graphs.- A Reconstructive Model for Identifying theGlobal Spread in a Pandemic.- Cost E ective method for Ransomware Detection: An Ensemble Approach.- Social Networks and Machine Learning.- Exploring Alzheimer's Disease Network Using Social Network Analysis.- Stroke Prediction Using Machine Learning in a Distributed Environment.- Automated Diagnosis of Breast Cancer with RoI Detection Using YOLO and Heuristics.- An Efficient Approach for Event Prediction Using Collaborative Distance Score of Communities.- A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Large-scale Airborne LiDAR Point Clouds.- Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster.- Study the Significance of ML-ELM Using Combined PageRank and Content-based Feature Selection.
| Erscheinungsdatum | 04.01.2021 |
|---|---|
| Reihe/Serie | Information Systems and Applications, incl. Internet/Web, and HCI | Lecture Notes in Computer Science |
| Zusatzinfo | XIII, 309 p. 114 illus., 92 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 495 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Schlagworte | Applications • Artificial Intelligence • Cloud Computing • Communication Systems • Computational Biology • Computer Networks • Computer Science • Computer systems • conference proceedings • Databases • distributed algorithms • distributed computer systems • Engineering • Informatics • Information Retrieval • link prediction in networks • machine learning • Microprocessor chips • Network Protocols • parallel processing systems • Research • Signal Processing • Social Networks • Telecommunication networks • Telecommunication Systems |
| ISBN-13 | 9783030656201 / 9783030656201 |
| Zustand | Neuware |
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