KEYWORDS: Computer programming, Gold, Computer programming languages, Signal processing, Internet, Databases, Telecommunications, Information operations, Data modeling, Computing systems
Recently, more and more server tasks are done using full automation, including grading tasks for students in the college courses, integrating tasks for programmers in big projects and server-based transactions, and visualization tasks for researchers in a data-dense topic. Using automation on servers provides a great possibility for reducing the burden on manual tasks. Although server tools like CI/CD for continuous integration and Hexo for automated blog deployment have been developed, they’re highly dedicated to certain functionalities and thus lack general usage. In this paper, we introduce a Golang-based automation framework that reacts to the events happening on GitHub in a multi-thread approach. This framework utilizes a queue to arrange the tasks submitted and execute each task with a thread in a preemptive manner. We then use the project GoAutoGrader to illustrate a specific implementation of this framework and its value in implementing high-freedom server applications. As Golang is developing in a rapid way because of its incredible parallel programming efficiency and a super-easy way to learn on the basis of C-like programming languages, we decide to develop this system in Golang.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.