Titlebook: Algorithms and Architectures for Parallel Processing; 23rd International C Zahir Tari,Keqiu Li,Hongyi Wu Conference proceedings 2024 The Ed

不遵守

,Approximate Multicast Coflow Scheduling in Reconfigurable Data Center Networks,d to have an approximate ratio of at most ., where . represents the number of optical circuit switches. Through extensive simulations, it is shown that the proposed algorithm can achieve high performance compared to state-of-the-art methods.

crutch

变形

Graph Neural Network for Critical Class Identification in Software System,are used to test the proposed approach. The experimental results show that our proposed method can improve the recall and accuracy of the top 10% of key node classes by more than 10%, compared with the current work and three graph neural network methods.

缝纫

,Spatio-Temporal Fusion Based Low-Loss Video Compression Algorithm for UAVs with Limited Processing ps the video content from a temporal perspective by identifying inter-frame redundancy. The second module compresses the video content from a spatial perspective by examining regions of interest (RoIs) within each frame and utilizing background filtering to analyze intra-frame encoding. This lightwe

有害

,CRAFT: Common Router Architecture for Throughput Optimization,ut optimization and realizes a common NoC router architecture for different scenario requirements (CRAFT router). Firstly, we improve the top boundary of the router throughput with the fully-connected crossbar switch, which is an expensive solution for high throughput. Secondly, we use a method simi

浪荡子

A Cross-Chain System Supports Verifiable Complete Data Provenance Queries,ring verifiable integrity of query results. Furthermore, we construct an index structure based on B+ tree and Merkle tree to enhance the system’s availability and query efficiency. Our experimental results demonstrate that our scheme not only has excellent performance in terms of the cost of verific

Coma704

SLUMP

ANNUL

,Adaptive Routing for Datacenter Networks Using Ant Colony Optimization,n Mininet simulation show that RACO effectively increases the throughput of long flows and reduces the average flow completion time (FCT) of short flows by up to 42% and 61%, respectively, compared with the state-of-the-art load balancing mechanisms.

aerobic

,HAECN: Hierarchical Automatic ECN Tuning with Ultra-Low Overhead in Datacenter Networks,e significantly by reducing latency and increasing throughput in stable network conditions. For example, HAECN effectively improves throughput by up to 47%, 34%, 32% and 24% over DCQCN, TIMELY, HPCC and ACC, respectively.