DATA STREAM ANALYTICS AT SERVICE LAYER

A modular and distributed architecture for data stream processing and analysis is described to incorporate data stream analytics capabilities, called Data Stream Analytics Service (DSAS) in the IoT/M2M service layer. Each service layer node hosting DSAS can be split into two independent modules, Str...

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Hauptverfasser: LI, Xu, RAHMAN, Shamim Akbar, LY, Quang, SINGH, Sneha Aman, WANG, Chonggang, STERNBERG, Gregory S
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creator LI, Xu
RAHMAN, Shamim Akbar
LY, Quang
SINGH, Sneha Aman
WANG, Chonggang
STERNBERG, Gregory S
description A modular and distributed architecture for data stream processing and analysis is described to incorporate data stream analytics capabilities, called Data Stream Analytics Service (DSAS) in the IoT/M2M service layer. Each service layer node hosting DSAS can be split into two independent modules, Stream Forwarder and Stream Analytics Engine. Stream Forwarder is a light weight processing modules that can be responsible for data preprocessing and routing. Stream Analytics Engine is responsible for performing actual analytics on the data stream. Separating the two functionalities enables the service layer nodes to efficiently distribute stream analytics tasks across multiple nodes.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
WIRELESS COMMUNICATIONS NETWORKS
title DATA STREAM ANALYTICS AT SERVICE LAYER
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