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Process-in-Network: a comprehensive network processing approach
Gabriel Urzaiz1, David Villa, Felix Villanueva
1Division of Engineering and Exact Sciences, Anahuac Mayab University, Merida, Yucatan 97310, Mexico. gabriel.urzaiz@anahuac.mx
Ambient Intelligence (AmI) applications need robust communication platforms. Process-in-Network (PIN) offers a novel approach by enabling networks to process data during transmission, optimizing multimedia data flow.
Area of Science:
- Computer Science
- Network Engineering
- Ambient Intelligence
Background:
- Modern Ambient Intelligence (AmI) applications demand versatile communication platforms.
- Transmission of large multimedia data over heterogeneous networks presents significant challenges.
- Current network processing technologies are often insufficient for AmI requirements.
Purpose of the Study:
- To introduce and explore the concept of Process-in-Network (PIN).
- To present PIN as a more comprehensive approach to network data processing.
- To highlight the potential of PIN in enhancing AmI application performance.
Main Methods:
- Conceptualizing Process-in-Network (PIN) as a network capability.
- Defining PIN as the processing of information during network transmission.
- Identifying opportunities for in-network processing within existing network infrastructure.
Main Results:
- PIN enables data processing within network queues and intermediate nodes.
- It leverages idle processing capacity and the data in transit.
- This approach offers a more integrated solution compared to traditional methods.
Conclusions:
- Process-in-Network (PIN) is a promising paradigm for AmI communication.
- PIN can optimize the handling of large multimedia data streams.
- It represents a significant advancement over current network processing technologies.
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