LEADER 08357nam 22007335 450 001 996464451903316 005 20230323141235.0 010 $a3-030-96772-7 024 7 $a10.1007/978-3-030-96772-7 035 $a(MiAaPQ)EBC6926803 035 $a(Au-PeEL)EBL6926803 035 $a(CKB)21403470300041 035 $a(DE-He213)978-3-030-96772-7 035 $a(PPN)261517961 035 $a(EXLCZ)9921403470300041 100 $a20220315d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aParallel and Distributed Computing, Applications and Technologies$b[electronic resource] $e22nd International Conference, PDCAT 2021, Guangzhou, China, December 17?19, 2021, Proceedings /$fedited by Hong Shen, Yingpeng Sang, Yong Zhang, Nong Xiao, Hamid R. Arabnia, Geoffrey Fox, Ajay Gupta, Manu Malek 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (643 pages) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13148 311 08$aPrint version: Shen, Hong Parallel and Distributed Computing, Applications and Technologies Cham : Springer International Publishing AG,c2022 9783030967710 320 $aIncludes bibliographical references and index. 327 $aNetworking and Architectures -- Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression -- Routing with Ant Colony Optimization in Wireless Mesh Networks -- A light-weight scheme for detecting component structure of network traffic -- Evaluating the performance and conformance of a SYCL implementation for SX-Aurora TSUBASA -- Bayesian Optimization Based Task Scheduling in Heterogeneous Computing Systems -- Optimizing Uplink Bandwidth Utilization for Crowdsourced Livecast -- A Batched Jacobi SVD Algorithm on GPUs and Its Application to Quantum Lattice Systems -- A Molecular Dynamics Based Multi-Scale Platelet Aggregation Model and Its High-throughput Simulation -- Approximation and Polynomial Algorithms for Multi-Depot Capacitated Arc Routing Problems -- Zero-shot Face Swapping with De-identification Adversarial Learning -- An user-driven active way to push ACL in Software-Defined Networking -- Photonic Computing and Communication for Neural Network Accelerators -- Performance Comparison of Multi-layer Perceptron Training on Electrical and Optical Network-on-Chips -- The design and implementation of reconfigurable quaternary logic processor -- A 3D Dubins Curve Constructing Method Based on Particle Swarm Optimization -- Software Systems and Technologies -- Towards Conflict-Aware Workload Co-execution on SX-Aurora TSUBASA -- A Learning-Based Scheduler for High Volume Processing in Data Warehouse using Graph Neural Networks -- Adaptive Updates for Erasure-Coded Storage Systems Based on Data Delta and Logging -- Matching Program Implementations and Heterogeneous Computing Systems -- FastDCF: A Partial Index based Distributed and Scalable Near-Miss Code Clone Detection Approach for Very Large Code Repositories -- Towards Optimal Fast Matrix Multiplication on CPU-GPU Platforms -- Temperature Matrix-based Data Placement Using Improved Hungarian Algorithm in Edge Computing Environments -- Realtime Physics Simulation of Large Virtual Space with Docker Containers -- A deep reinforcement learning-based approach to the scheduling of multiple workflows on non-dedicated edge servers -- A MVCC Approach to Parallelizing Interoperability of Consortium Blockchain -- An Effective and Reliable Cross-Blockchain Data Migration Approach -- Algorithm for the Facility Location Problem with Origin and Destination -- Reinforcement Learning-based Auto-scaling Algorithm for Elastic Cloud Workflow Service -- Optimal Energy Efficiency Strategy of mm Wave Cooperative Communication Small Cell based on SWIPT -- Providing Low Latency Execution Guarantees under Uncertainty in Serverless Platforms -- High resolution patient-specific blood flow simulation in a full-size aneurysmal aorta based on a parallel two-level method -- Optimizing Data Locality by Executor Allocation in Reduce Stage for Spark Framework -- TEFRED: A temperature and energy cognizant fault-tolerant real-time scheduler based on deadline partitioning for heterogeneous platforms -- Algorithms and Applications -- Social Recommendation via Graph Attentive Aggregation -- MACSQ: Massively Accelerated DeepQ Learning on GPUs using on-the-fly State Construction -- Model-based Multi-agent Policy Optimization with Dynamic Dependence Modeling -- Multi-index federated aggregation algorithm based on trusted verification -- Few-shot Generative Learning by Modeling Stereoscopic Priors -- Distributed fair k-Center clustering problems with outliers -- Multi-zone residential HVAC control with satisfying occupants' thermal comfort requirements and saving energy via reinforcement learning -- Approximating BP Maximization with Distorted-Based Strategy -- Streaming Algorithms for Maximization of a Non-Submodular Function with a Cardinality Constraint on the Integer Lattice -- Adaptable Focal Loss for Imbalanced Text Classification -- Roman Amphitheater Classification Using Convolutional Neural Network and Data Augmentation -- Data-Hungry Issue in Personalized Product Search -- Jointly Super Resolution and Degradation Learning on Unpaired Real-World Images -- Enhanced Discriminant Local Direction Pattern Learning for Robust Palmprint Identification -- Latent Multi-view Subspace Clustering Based on Schatten-p Norm -- Security and Privacy -- MOFIT: An efficient access control scheme with attribute merging and outsourcing capability for Fog-enhanced IoT -- RepBFL: Reputation based Blockchain-Enabled Federated Learning Framework for Data Sharing in Internet of Vehicles -- Multimodal Fusion Representation Learning based on Differential Privacy -- Efficient List Decoding Applied to ECC^2 -- Federated Data Integration for Heterogeneous Partitions based on Differential Privacy -- Patient-Chain: Patient-centered healthcare system a Blockchain-based technology in dealing with emergencies -- A differential privacy image publishing method based on wavelet transform -- Traffic Matrix Prediction Based on Differential Privacy and LSTM -- A blockchain-based continuous query differential privacy algorithm -- Formalization and Verification of Group Communication CoAP using CSP. 330 $aThis book constitutes the proceedings of the 22nd International Conference on Parallel and Distributed Computing, Applications, and Technologies, PDCAT 2021, which took place in Guangzhou, China, during December 17-19, 2021. The 24 full papers and 34 short papers included in this volume were carefully reviewed and selected from 97 submissions. The papers are categorized into the following topical sub-headings: networking and architectures, software systems and technologies, algorithms and applications, and security and privacy. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v13148 606 $aComputer science 606 $aComputer networks 606 $aComputers 606 $aComputers, Special purpose 606 $aSoftware engineering 606 $aArtificial intelligence 606 $aTheory of Computation 606 $aComputer Communication Networks 606 $aComputing Milieux 606 $aSpecial Purpose and Application-Based Systems 606 $aSoftware Engineering 606 $aArtificial Intelligence 615 0$aComputer science. 615 0$aComputer networks. 615 0$aComputers. 615 0$aComputers, Special purpose. 615 0$aSoftware engineering. 615 0$aArtificial intelligence. 615 14$aTheory of Computation. 615 24$aComputer Communication Networks. 615 24$aComputing Milieux. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aSoftware Engineering. 615 24$aArtificial Intelligence. 676 $a004.35 702 $aShen$b Hong 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996464451903316 996 $aParallel and Distributed Computing: Applications and Technologies$9772797 997 $aUNISA