Distributed Computing and Internet Technology: 17th International Conference, ICDCIT 2021, Bhubaneswar, India, January 7–10, 2021, Proceedings (Lecture Notes in Computer Science Book 12582)

This book constitutes the proceedings of the 17th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2021. 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. Front Matter ....Pages i-xiii Front Matter ....Pages 1-1 The Bloom Clock for Causality Testing (Anshuman Misra, Ajay D. Kshemkalyani)....Pages 3-23 Model Development in the Tool USE: Explorative, Consolidating and Analytic Steps for UML and OCL Models (Martin Gogolla)....Pages 24-43 ReLink: Open Information Extraction by Linking Phrases and Its Applications (Xuan-Chien Tran, Le-Minh Nguyen)....Pages 44-62 Front Matter ....Pages 63-63 Energy-Efficient Scheduling of Deadline-Sensitive and Budget-Constrained Workflows in the Cloud (Anurina Tarafdar, Kamalesh Karmakar, Sunirmal Khatua, Rajib K. Das)....Pages 65-80 An Efficient Renewable Energy-Based Scheduling Algorithm for Cloud Computing (Sanjib Kumar Nayak, Sanjaya Kumar Panda, Satyabrata Das, Sohan Kumar Pande)....Pages 81-97 A Revenue-Based Service Management Algorithm for Vehicular Cloud Computing (Sohan Kumar Pande, Sanjaya Kumar Panda, Satyabrata Das)....Pages 98-113 Interference Reduction in Directional Wireless Networks (Manjanna Basappa, Sudeepta Mishra)....Pages 114-126 Front Matter ....Pages 127-127 Automated Deadlock Detection for Large Java Libraries (R. Rajesh Kumar, Vivek Shanbhag, K. V. Dinesha)....Pages 129-144 DNet: An Efficient Privacy-Preserving Distributed Learning Framework for Healthcare Systems (Parth Parag Kulkarni, Harsh Kasyap, Somanath Tripathy)....Pages 145-159 Memory Optimized Dynamic Matrix Chain Multiplication Using Shared Memory in GPU (Girish Biswas, Nandini Mukherjee)....Pages 160-172 Front Matter ....Pages 173-173 Parameterized Complexity of Defensive and Offensive Alliances in Graphs (Ajinkya Gaikwad, Soumen Maity, Shuvam Kant Tripathi)....Pages 175-187 A Reconstructive Model for Identifying the Global Spread in a Pandemic (Debasish Pattanayak, Dibakar Saha, Debarati Mitra, Partha Sarathi Mandal)....Pages 188-202 Cost Effective Method for Ransomware Detection: An Ensemble Approach (Parthajit Borah, Dhruba K. Bhattacharyya, J. K. Kalita)....Pages 203-219 Front Matter ....Pages 221-221 Exploring Alzheimer’s Disease Network Using Social Network Analysis (Swati Katiyar, T. Sobha Rani, S. Durga Bhavani)....Pages 223-237 Stroke Prediction Using Machine Learning in a Distributed Environment (Maihul Rajora, Mansi Rathod, Nenavath Srinivas Naik)....Pages 238-252 Automated Diagnosis of Breast Cancer with RoI Detection Using YOLO and Heuristics (Ananya Bal, Meenakshi Das, Shashank Mouli Satapathy, Madhusmita Jena, Subha Kanta Das)....Pages 253-267 Front Matter ....Pages 269-269 An Efficient Approach for Event Prediction Using Collaborative Distance Score of Communities (B. S. A. S. Rajita, Bipin Sai Narwa, Subhrakanta Panda)....Pages 271-279 A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Large-Scale Airborne LiDAR Point Clouds (Satendra Singh, Jaya Sreevalsan-Nair)....Pages 280-288 Load Balancing Approach for a MapReduce Job Running on a Heterogeneous Hadoop Cluster (Kamalakant Laxman Bawankule, Rupesh Kumar Dewang, Anil Kumar Singh)....Pages 289-298 Study the Significance of ML-ELM Using Combined PageRank and Content-Based Feature Selection (Rajendra Kumar Roul, Jajati Keshari Sahoo)....Pages 299-307 Back Matter ....Pages 309-309