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Distributed medical data storage model based on blockchain technology
In the field of distributed medical data storage, relayed data is usually kept centrally on the central node, which may lead to an increased risk of...
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FAV-BFT: An Efficient File Authenticity Verification Protocol for Blockchain-Based File-Sharing System
Compared with traditional file-sharing system, the blockchain-based file-sharing system shows its superiority, such as electronic money incentive...
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Distributed computing with the cloud
We investigate the effect of omnipresent cloud storage on distributed computing. To this end, we specify a network model with links of prescribed...
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Analyzing Parallel Applications for Unnecessary I/O Semantics that Inhibit File System Performance
Scalability and performance of I/O intensive parallel applications are major concerns in modern High Performance Computing (HPC) environments. Almost...
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Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications
The growing demands for data processing by new data-intensive applications are putting pressure on the performance and capacity of HPC storage...
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Improving lookup and query execution performance in distributed Big Data systems using Cuckoo Filter
Performance is a critical concern when reading and writing data from billions of records stored in a Big Data warehouse. We introduce two scopes for...
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vSphere Distributed Switch
Now that we have our vCenter installed and configured, we can discuss vSphere Distributed Switch (vDS) and how to create a vDS.
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Partitioning-Aware Performance Modeling of Distributed Graph Processing Tasks
Much of the data being produced in large scale by modern applications represents connected entities and their relationships, that can be modeled as...
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SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Novel artificial intelligence (AI) technology has expedited various scientific research, e.g., cosmology, physics, and bioinformatics, inevitably...
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Visual Low-Code Language for Orchestrating Large-Scale Distributed Computing
Distributed, large-scale computing is typically performed using textual general-purpose programming languages. This requires significant programming...
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Anomaly detection of policies in distributed firewalls using data log analysis
A distributed firewall is a security application that monitors and controls traffic on an organization’s network. While centralized firewalls are...
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DG-means: a superior greedy algorithm for clustering distributed data
Clustering divides a set of objects into several classes, where each class is composed of similar objects. Traditional centralized clustering...
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ODCP: Optimizing Data Caching and Placement in Distributed File System Using Erasure Coding
Many current distributed file systems use erasure-coding based data redundancy techniques to improve the reliability of data storage. Such techniques...
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A distributed framework for large-scale semantic trajectory similarity join
The similarity join is a common yet expensive operator for large-scale semantic trajectories analytics. In this paper, we propose
DFST , an efficient...
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Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks
Continuously increasing data volumes from multiple sources, such as simulation and experimental measurements, demand efficient algorithms for an...
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Efficient data persistence and data division for distributed computing in cloud data center networks
Container-based Hadoop distributed file system (HDFS) storage has been widely used in cloud data center networks, while traditional HDFS has single...
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An evaluation of relational and NoSQL distributed databases on a low-power cluster
The constant growth of social media, unconventional web technologies, mobile applications, and Internet of Things (IoT) devices create challenges for...
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Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials
Industrial data trading can considerably enhance the economic and social value of abundant data resources. However, traditional data trading models...
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A Simple Distributed Approach for Running Machine Learning Based Simulations in Intrusion Detection Systems
Intrusion Detection Systems (IDS) that use Machine Learning (ML) are a must-have for success protection when thinking of network traffic....
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Distributed hyperparameter optimization based multivariate time series forecasting
Various domains generate continuous data in the form of multivariate time series (MTS), including electricity and stock trading. It is difficult to...
