Deployment planning of components in heterogeneous environments

Abstract

Deployment plans, to service execution environments, of component services associated with a composite service associated with an analysis of data generated by one or more data sources, may be determined, the composite service including an ordering of execution of the associated component services for the analysis of the data. An evaluation of each of the deployment plans of the component services may be determined based on a first metric associating one or more weighted values with a consumption by the each deployment plan of one or more respective resources associated with each of the first and second network nodes and on a second metric associating one or more weighted values with a measure of connection availability of one or more network links included in a communication path between the first and second network nodes. A recommendation including one or more of the deployment plans may be determined based on the evaluation.

Description

technical field [0001] The present invention relates to techniques including deployment planning of components for processing source data to hosts in a heterogeneous environment. Background technique [0002] Components may include, for example, software components that provide services, and heterogeneous environments may include smart object environments. Smart item technologies include, for example, radio frequency identification (RFID) systems, embedded systems, sensor motes, and / or sensor networks, and can be used, for example, in business software applications that provide fast access to real world data. For example, smart object technology can be used to support the detection, reading or writing of RFID tags, as well as to support communication with and control of wireless sensors and embedded systems. In many instances, a smart object may include a device with local processing capabilities, storage capacity, and / or communication capabilities capable of providing data...

AI Technical Summary

Problems solved by technology

[0007]For example, for some smart objects that require a large amount of real-time data to be processed, the storage capacity and / or processing power of the node is insufficient to process the data, so that the results are reliable Sexuality and integrity may be compromised

For example, although using PEID to record real-world data of a product enables more accurate analysis, it also presents the problem of large amounts of data due to periodic recording (e.g., sampling) from sensors

However, it may not be feasible to perform all necessary analysis on the product and just send the results, as the PEID may have very limited resources and / or power and / or connectivity

Also, for example, some data processing steps may require additional input from secondary databases or other products, which may not be available on individual products

However, simply determining the placement in the network that can be used to perform data processing can lead to inefficiencies, including, for example, unacceptable levels of throughput

Images