A framework for self-optimizing, fault-tolerant, high performance bulk data transfers in a heterogeneous grid environment

2004 ◽  
Author(s):  
T. Kosar ◽  
G. Kola ◽  
M. Livny
Keyword(s):  
High Performance ◽  
Fault Tolerant ◽  
Grid Environment ◽  
Bulk Data ◽  
Data Transfers

Fault-tolerant bandwidth reservation strategies for data transfers in high-performance networks

2017 ◽  
Vol 113 ◽  
pp. 1-16 ◽  
Author(s):  
Liudong Zuo ◽  
Michelle M. Zhu ◽  
Chase Q. Wu ◽  
Jason Zurawski
Keyword(s):  
High Performance ◽  
Fault Tolerant ◽  
Bandwidth Reservation ◽  
Data Transfers

I-DMAC: An Intelligent DMA Controller for Utilization - Aware Video Streaming used in AI Applications

2021 ◽  
pp. 60-70
Author(s):  
Piyush Kumar Shukla ◽  
◽  
Prashant Kumar Shukla ◽  
Keyword(s):  
Video Processing ◽  
High Performance ◽  
Data Transfer ◽  
Direct Memory Access ◽  
Large Data ◽  
Video Frame ◽  
Microprocessor System ◽  
Bulk Data ◽  
Xilinx Fpga ◽  
Vhdl Code

The interpretation of large data streams necessitates high-performance repeated transfers, which overload Microprocessor System on Chips (SoC). The effective direct memory access (DMA) controller performs bulk data transfers without the CPU's involvement. The Direct Memory Controller (DMAC) solves this by facilitating bulk data transfer and execution. In this work, we created an intelligent DMAC (I-DMAC) for accessing video processing data without using CPUs. The model includes Bus selection Module, User control signal, Status Register, DMA supported Address, and AXI-PCI subsystems for improved video frame analysis. These modules are experimentally verified in Xilinx FPGA SoC architecture using VHDL code simulation and results compared to the E-DMAC model.

scholarly journals A Partial Store-and-Forward Scheduling Method for Inter-Datacenter Bulk Data Transfers

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 128167-128181
Author(s):  
Xiao Lin ◽  
Shengnan Yue ◽  
Yuanlong Tan ◽  
Weiqiang Sun ◽  
Malathi Veeraraghavan ◽  
...  
Keyword(s):  
Bulk Data ◽  
Scheduling Method ◽  
Data Transfers ◽  
Store And Forward

scholarly journals Blockchain Networks – Security Aspects and Consensus Models

2019 ◽  
Vol 2 ◽  
pp. 46-52 ◽  
Author(s):  
Andrzej Wilczyński ◽  
Adrian Widłak
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Distributed Networks ◽  
Modern Technology ◽  
Main Aspect ◽  
Computing Systems ◽  
Consensus Models ◽  
Architectural Model ◽  
Data Transfers ◽  
Performance Computing

Data integration and fast effective data processing are the primary challenges in today’s high-performance computing systems used for Big Data processing and analysis in practical scenarios. Blockchain (BC) is a hot, modern technology that ensures high security of data processes stored in highly distributed networks and ICT infrastructures. BC enables secure data transfers in distributed systems without the need for all operations and processes in the network to be initiated and monitored by any central authority (system manager). This paper presents the background of a generic architectural model of a BC system and explains the concept behind the consensus models used in BC transactions. Security is the main aspect of all defined operations and BC nodes. The paper presents also specific BC use cases to illustrate the performance of the system in practical scenarios..

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