Главная
Study mode:
on
1
Intro
2
Distributed Big-data Analytics
3
Workflow of Big-data Processing
4
Costly Inter-JVM Communications
5
Existing S/D Optimizations
6
How to Achieve This?
7
Challenges for ZCOT
8
Space Construction: DCDS
9
Compatibility with Applications
10
Distributed Memory Management
11
RPC Interfaces
12
The Workflow of ZCOT
13
Experimental Setup
14
Mircobenchmark
15
Flink Performance
16
Conclusion
Description:
Explore a conference talk on Zero-Change Object Transmission (ZCOT), a novel approach to enhance distributed big data analytics performance. Delve into the challenges of data exchange in high-level languages like Java and Scala, and discover how ZCOT enables direct object copying between Java Virtual Machines without transformations. Learn about the benefits of ZCOT, including minimal integration efforts with existing applications and potential for deduplication. Examine the experimental results showcasing ZCOT's ability to significantly improve data exchange efficiency and boost application performance by up to 23.6% in state-of-the-art data analytics frameworks. Gain insights into the workflow of ZCOT, space construction techniques, compatibility with applications, distributed memory management, and RPC interfaces.

Zero-Change Object Transmission for Distributed Big Data Analytics

USENIX
Add to list