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A framework for the dynamic generation of workflows for network management
(IEEE, 2021-06-30)
A demonstration of the application of dynamically generated workflows to the management of a network environment is presented. A proposed workflow management framework (WMF) uses dynamically generated workflows to control ...
A review of unstructured data analysis and parsing methods
(IEEE, 2020-03)
Computer applications generate an enormous amount of data every day through their logs, system-generated files or other reports. This generated data depicts the state of the running system and contains abundant information ...
A hybrid machine learning/policy approach to optimise video path selection.
(IEEE, 2020-02-27)
Services such as interactive video and real time gaming are ubiquitous on modern networks. The approaching realisation of 5G as well as the virtualisation and scalability of network functions made possible by technologies ...
An extensible parsing pipeline for unstructured data processing
(IEEE, 2021-03-10)
Network monitoring and diagnostics systems depict the running system's state and generate enormous amounts of unstructured data through log files, print statements, and other reports. It is not feasible to manually analyze ...
A workflow management framework for the dynamic generation of workflows that is independent of the application environment
(IEEE, 2021-06-30)
Workflow is a well-known and widely used technology in business management. Traditional workflow solutions are designed for humans and generally use a graphical representation of workflow elements that reflect the involvement ...
Unsupervised noise detection in unstructured data for automatic parsing
(IEEE, 2020-11-30)
The telecommunications industry makes extensive use of data extracted from logs, alarms, traces, diagnostics, and other monitoring devices. Analyzing the generated data requires that the data be parsed, re-structured, and ...