Evaluation of a CPU scheduling mechanism for synchronized multimedia streams

1995 ◽  
pp. 1-10 ◽  
Author(s):  
Ralf Steinmetz ◽  
Lars C. Wolf
Keyword(s):  
Cpu Scheduling ◽  
Multimedia Streams

Synchronisation of Multimedia Streams: Benefits, Challenges and Solutions

2010 ◽  
Vol 3 (3) ◽  
pp. 224-232
Author(s):  
Hugh T. Melvin ◽  
Liam Murphy
Keyword(s):  
Multimedia Streams

scholarly journals QiOi: Performance Isolation for Hyperledger Fabric

2021 ◽  
Vol 11 (9) ◽  
pp. 3870
Author(s):  
Jeongsu Kim ◽  
Kyungwoon Lee ◽  
Gyeongsik Yang ◽  
Kwanhoon Lee ◽  
Jaemin Im ◽  
...  
Keyword(s):  
Data Centers ◽  
Component Level ◽  
Isolation Technique ◽  
Cloud Data ◽  
Cpu Scheduling ◽  
Performance Isolation ◽  
Cloud Data Centers ◽  
A New Technique ◽  
The Impact ◽  
Level Performance

This paper investigates the performance interference of blockchain services that run on cloud data centers. As the data centers offer shared computing resources to multiple services, the blockchain services can experience performance interference due to the co-located services. We explore the impact of the interference on Fabric performance and develop a new technique to offer performance isolation for Hyperledger Fabric, the most popular blockchain platform. First, we analyze the characteristics of the different components in Hyperledger Fabric and show that Fabric components have different impacts on the performance of Fabric. Then, we present QiOi, component-level performance isolation technique for Hyperledger Fabric. The key idea of QiOi is to dynamically control the CPU scheduling of Fabric components to cope with the performance interference. We implement QiOi as a user-level daemon and evaluate how QiOi mitigates the performance interference of Fabric. The evaluation results demonstrate that QiOi mitigates performance degradation of Fabric by 22% and improves Fabric latency by 2.5 times without sacrificing the performance of co-located services. In addition, we show that QiOi can support different ordering services and chaincodes with negligible overhead to Fabric performance.

Cross-Platform Emerging Topic Detection and Elaboration from Multimedia Streams

2015 ◽  
Vol 11 (4) ◽  
pp. 1-21 ◽  
Author(s):  
Bing-Kun Bao ◽  
Changsheng Xu ◽  
Weiqing Min ◽  
Mohammod Shamim Hossain
Keyword(s):  
Topic Detection ◽  
Multimedia Streams ◽  
Cross Platform

Efficient vaccine scheduler based on CPU scheduling algorithms

2021 ◽  
Author(s):  
Vasu Gondaliya ◽  
Shreya Patel ◽  
Jay Hemnani ◽  
Samir Patel
Keyword(s):  
Scheduling Algorithms ◽  
Cpu Scheduling

scholarly journals Study of Multimedia Delivery over Software Defined Networks

2016 ◽  
Vol 7 (4) ◽  
pp. 37 ◽  
Author(s):  
Jose Miguel Jimenez ◽  
Oscar Romero ◽  
Albert Rego ◽  
Avinash Dilendra ◽  
Jaime Lloret
Keyword(s):  
Artificial Intelligence ◽  
Personal Computer ◽  
Network Protocols ◽  
Performance Comparison ◽  
Distributed Artificial Intelligence ◽  
Software Defined Networks ◽  
Multimedia Delivery ◽  
Real Network ◽  
Multimedia Streams ◽  
The Difference

Software Defined Networks (SDN) have become a new way to make dynamic topologies. They have great potential in both the creation and development of new network protocols and the inclusion of distributed artificial intelligence in the network. There are few emulators, like Mininet, that allow emulating a SDN in a single personal computer, but there is lack of works showing its performance and how it performs compared with real cases. This paper shows a performance comparison between Mininet and a real network when multimedia streams are being delivered. We are going to compare them in terms of consumed bandwidth (throughput), delay and jitter. Our study shows that there are some important differences when these parameters are compared. We hope that this research will be the basis to show the difference with real deployments when Mininet is used.

CPU scheduling and memory management for interactive real-time applications

2011 ◽  
Vol 47 (5) ◽  
pp. 454-488 ◽  
Author(s):  
Shinpei Kato ◽  
Yutaka Ishikawa ◽  
Ragunathan Rajkumar
Keyword(s):  
Real Time ◽  
Memory Management ◽  
Cpu Scheduling ◽  
Real Time Applications
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