Collaborative Computing: Networking, Applications and Worksharing : 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I / edited by Honghao Gao, Xinheng Wang, Nikolaos Voros.

Format:

Book

Contributor:

Gao, Honghao, editor.

Wang, Xinheng, editor.

Voros, Nikolaos, editor.

Series:

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 1867-822X ; 561

Language:

English

Subjects (All):

Computer systems.

Information storage and retrieval systems.

Computer networks.

Data protection.

Software engineering.

Computers, Special purpose.

Computer System Implementation.

Information Storage and Retrieval.

Computer Communication Networks.

Data and Information Security.

Software Engineering.

Special Purpose and Application-Based Systems.

Local Subjects:

Computer System Implementation.

Information Storage and Retrieval.

Computer Communication Networks.

Data and Information Security.

Software Engineering.

Special Purpose and Application-Based Systems.

Physical Description:

1 online resource (458 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

The three-volume set LNICST 561, 562 563 constitutes the refereed post-conference proceedings of the 19th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2023, held in Corfu Island, Greece, during October 4-6, 2023. The 72 full papers presented in these proceedings were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections: Volume I : Collaborative Computing, Edge Computing & Collaborative working, Blockchain applications, Code Search and Completion, Edge Computing Scheduling and Offloading. Volume II: Deep Learning and Application, Graph Computing, Security and Privacy Protection and Processing and Recognition. Volume III: Onsite Session Day2, Federated learning and application, Collaborative working, Edge Computing and Prediction, Optimization and Applications.

Contents:

Collaborative Computing

Enhanced Sound Recognition and Classification through Spectrogram Analysis, MEMS Sensors, and PyTorch: A Comprehensive Approach

TCP Cubic Implementation in the OMNeT++ INET Framework for SIoT Simulation Scenarios

Implementation Framework of a Blockchain Based Infrastructure for Electricity Trading within a Microgrid

Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks

Edge Computing & Collaborative working

DQN-based Applications Offloading with Multiple Interdenpendent Tasks in Mobile Edge Computing

Edge Server Deployment Approach Based on Uniformity and Centrality

Budget-constrained Contention-aware Workflow Scheduling in a Hybrid Cloud

A Dichotomous Repair-based Load-Balanced Task Allocation Strategy in Cloud-Edge Environment

DPIM: Dynamic Pricing Incentive Mechanism for Mobile Crowd Sensing

Blockchain applications

Efficient and revocable anonymous account guarantee system based on blockchain

Computing Resource Allocation for Hybrid Applications of Blockchain and Mobile Edge Computing

Blockchain-Based EMR Enhancement: Introducing PMI-Chain for Improved Medical Data Security and Privacy

BGET: A Blockchain-based Grouping-EigenTrust Reputation Management Approach for P2P Networks

Privacy-Preserving Blockchain Supervision with Responsibility Tracking

Code Search and Completion

JARAD: An Approach for Java API Mention Recognition and Disambiguation in Stack Overflow

Enrich Code Search Query Semantics With Raw Descriptions

A code completion approach combining pointer network and Transformer-XL network

A Code Search Method Incorporating Code Annotations

CUTE A Collaborative Fusion Representation-based Fine-tuning and Retrieval Framework for CodeSearch

Edge Computing Scheduling and Offloading

Roadside IRS Assisted Task Offloading in Vehicular Edge Computing Network

Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers

Collaborative Cloud-Edge Computing with Mixed Wireless and Wired Backhaul Links: Joint Task Offloading and Resource Allocation

Dynamic offloading based on meta deep reinforcement learning and load prediction in smart home edge computing. .

Notes:

Includes bibliographical references and index.

ISBN:

9783031545214