Browsing by Author "Vu, Tuan"

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Development of an Industrial Service with Big Data and Cloud Computing
(2015-06-10) Vu, Tuan
Perustieteiden korkeakoulu | Master's thesis
Big Data and Cloud Computing are emerging as a new trend in the knowledge industry. Big Data has enabled competitive advantages that many technology firms want to possess. And Cloud Computing has been used to address the significant investment requirements that Big Data requires. Supported by leading organizations in IT industry, Big Data and Cloud Computing adoption have been significant in the recent years. This thesis explores a way that organizations can develop and deliver Big Data application on the Cloud. As a part of the Tekes funded project named SGEM, this is a pilot study to deploy Big Data and Cloud Computing technology in the context that Case Company is developing an asset management service for Target Customer. The service analyzes disturbance records in the electricity distribution network of the Target Customer and combines weather and geographical data to assist maintenance decisions. In this thesis, an overview of Big Data and Cloud Computing technology and possible business models for Cloud Computing will be thoroughly described. The viability of its implementation process will also be analytically examined. In the case study, Big Data and Cloud Computing will be deployed in the industrial context that then lead to a proposal of novel approach to solve Target Customer’s problems. The application is tested against data from one medium-voltage substation between 2011 and 2014 and is verified against field tests between 16 to 19 on April 2012. The collective data in this thesis assure the feasibility of this emerging technology to be implemented in service industry. The case study demonstrates an optimal workflow that can be practically applied in real life situations. Finally, it reveals opportunities for further research in Big Data and Cloud Computing area.
Introduction to V8 Isolates and Firecracker MicroVMs
(2024-09-02) Vu, Tuan
Sähkötekniikan korkeakoulu | Bachelor's thesis
In the past, it was usually the case that serverless computing compromised either security or overhead for the other, as it was challenging to balance both when using containers or traditional virtual machines. However, companies such as Cloudflare and AWS (Amazon Web Service), which provide serverless computing services, strived to advance their services further by addressing this limitation. Many technologies have been developed to serve this purpose, with two of the most notable being the V8 Isolates in Cloudflare Workers and Firecracker microVMs in AWS Lambda. For V8 Isolates, the ability to produce unparalleled performance without sacrificing too many features is what makes them stand out. Firecracker microVMs, on the other hand, are designed as a more well-rounded solution, offering slightly lower performance but with other advantages such as strong security and great flexibility. In this thesis, I study V8 Isolates and Firecracker in detail as I explore their benefits and drawbacks for web development. I perform this comparison through a literature review and an evaluation of community responses to the technologies. I found out that V8 Isolates and Firecracker microVMs are nascent technologies that need further development to gain marketshare. This is evident from the limited number of studies conducted on these technologies, mainly from their creators, Google and AWS, as well as a few other companies. Significant community support is crucial for any technologies to thrive, and that is exactly what V8 Isolates and Firecracker microVMs need at the moment.