Results 41 to 50 of about 1,628,666 (344)

DHT- and blockchain-based smart identification for video conferencing

open access: yesBlockchain: Research and Applications, 2022
Video conferencing applications help people communicate via the Internet and provide a significant and consistent basis for virtual meetings. However, integrity, security, identification, and authentication problems are still universal.
Morteza Alizadeh   +2 more
doaj  

Distributed Paged Hash Tables [PDF]

open access: yes, 2003
In this paper we present the design and implementation of DPH, a storage layer for cluster environments. DPH is a Distributed Data Structure (DDS) based on the distribution of a paged hash table. It combines main memory with file system resources across the cluster in order to implement a distributed dictionary that can be used for the storage of very ...
Rufino, José   +3 more
openaire   +3 more sources

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan   +7 more
wiley   +1 more source

Scalable Hash Tables

open access: yes, 2022
The term scalability with regards to this dissertation has two meanings: It means taking the best possible advantage of the provided resources (both computational and memory resources) and it also means scaling data structures in the literal sense, i.e., growing the capacity, by “rescaling” the table.
openaire   +3 more sources

Semi-supervised hash learning method with consistency-based dimensionality reduction

open access: yesAdvances in Mechanical Engineering, 2019
With the explosive growth of surveillance data, exact match queries become much more difficult for its high dimension and high volume. Owing to its good balance between the retrieval performance and the computational cost, hash learning technique is ...
Fang Lv   +3 more
doaj   +1 more source

Research of a Scheduling Optimization algorithm based on Hash Adapter

open access: yesMATEC Web of Conferences, 2017
The performance of hash-based Scheduling optimization algorithm for network flow cannot be bounded under the worst-case because of hash conflicts. To make up for the shortage of the above algorithm, a multiple-hash algorithm based on counting Hash ...
Yang Wenchuan, Fu Zhen, Zuo Wen
doaj   +1 more source

On the Scalability of the GPUexplore Explicit-State Model Checker [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2017
The use of graphics processors (GPUs) is a promising approach to speed up model checking to such an extent that it becomes feasible to instantly verify software systems during development.
Nathan Cassee, Thomas Neele, Anton Wijs
doaj   +1 more source

An Indictment of Bright Line Tests for Honest Services Mail Fraud [PDF]

open access: yes, 2004
Sparse matrix-matrix multiplication (SpGEMM) is a computational primitive that is widely used in areas ranging from traditional numerical applications to recent big data analysis and machine learning.
Azad, A   +3 more
core   +3 more sources

Cuckoo++ hash tables

open access: yesProceedings of the 2018 Symposium on Architectures for Networking and Communications Systems, 2018
Hash tables are an essential data-structure for numerous networking applications (e.g., connection tracking, firewalls, network address translators). Among these, cuckoo hash tables provide excellent performance by allowing lookups to be processed with very few memory accesses (2 to 3 per lookup). Yet, for large tables, cuckoo hash tables remain memory
openaire   +3 more sources

Hash Table Design and Optimization for Software Virtual Switches

open access: yesKBNets@SIGCOMM, 2018
Flow classification is a common first step in various virtual network functions (VNFs), Software Defined Networking (SDN) applications, as well as network infrastructure components including virtual switches and routers.
Yipeng Wang   +4 more
semanticscholar   +1 more source

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