Abstract
The importance of parallel computing is growing rapidly, and the need of performing complex computation tasks in shorter time becomes the main factor of developing the technology. In almost all technology fields, we can save time and effort to complete the computation of complex tasks. Modeling the Galaxy formation, Climate change, Rush hour traffic are some examples in real life of how we can make use of parallel computing, comparing with solving them in the tradition serial way. There are some limitations for the scalability of the resources. Therefore, trends are moving toward using heterogeneous environment that can provide more scalable resources. The main challenge then is to provide reliability between the computing resources. In this work, we will utilize publish/subscribe model using quality of service (QoS) parameters in the Data Distribution Service (DDS) middleware. DDS is developed by Object Management Group (OMG).
| Original language | English |
|---|---|
| Pages (from-to) | 24-31 |
| Number of pages | 8 |
| Journal | Procedia Computer Science |
| Volume | 63 |
| DOIs | |
| State | Published - 2015 |
Bibliographical note
Publisher Copyright:© 2015 The Authors.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- DDS
- High-performance computing
- Middleware
- Parallel computing
- Parallel processing
- Quality of service
- Reliability
ASJC Scopus subject areas
- General Computer Science
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