A5051617365- Cloud Computing and Resource Management
- Cloud Data Security Solutions
- Software Engineering Research
- Software Engineering Techniques and Practices
- Information Technology Governance and Strategy
- Blockchain Technology Applications and Security
- Big Data and Business Intelligence
- ERP Systems Implementation and Impact
- Data Quality and Management
- Technology Adoption and User Behaviour
- Web Data Mining and Analysis
- Green IT and Sustainability
- Outsourcing and Supply Chain Management
- Explainable Artificial Intelligence (XAI)
- Stock Market Forecasting Methods
- Software Reliability and Analysis Research
- Distributed and Parallel Computing Systems
- Advanced Software Engineering Methodologies
- IoT and Edge/Fog Computing
- Natural Language Processing Techniques
- Advanced Data Storage Technologies
- IoT-based Smart Home Systems
- Peer-to-Peer Network Technologies
- Online Learning and Analytics
- Complex Systems and Time Series Analysis
Vidyasirimedhi Institute of Science and Technology
2021
Free University of Bozen-Bolzano
2011-2015
We present our ongoing work building a Raspberry Pi cluster consisting of 300 nodes. The unique characteristics this single board computer pose several challenges, but also offer number interesting opportunities. On the one hand, can be purchased cheaply and has low power consumption, which makes it possible to create an affordable energy-efficient cluster. other lacks in computing power, difficult run computationally intensive software on it. Nevertheless, by combining large Raspberries...
In the last decade, there has been increasing interest in pair programming (PP). However, despite existing work, is still a lack of substantial evidence effects PP industrial environments. To address this issue, we have analyzed work team 17 developers for 14 months. The part IT department large Italian manufacturing company; it adopts customized version extreme (XP). We investigated on software quality five different scenarios. results show that appears to provide perceivable but small...
The cloud computing paradigm has brought the benefits of utility to a global scale. It gained paramount attention in recent years. Companies are seriously considering adopt this new and expecting receive significant benefits. In fact, concept is not revolution terms technology; it been established based on solid ground virtualization, distributed system, web services. To comprehend computing, its foundations technological landscape need be adequately understood. This paper provides...
Cloud computing has captured the attention of both researchers and practitioners alike. Companies other cloud users are expecting to receive significant benefits from new based technologies. To what extent these materialize for enterprise IT is not clearly understood. In this paper, we examine perceived users' perspectives. include SaaS/PaaS/IaaS, ranging end-users, service developers system administrators. Using content analysis techniques, one major discussion forums computing. Rather than...
Implementing an ERP system for large enterprises (LE) is a challenge undertaking. Previous studies reported on various factors attributed to implementation failures in LE that are difficult handle. Those are, instance, inappropriately designed business processes, lack of clarity about changes, change management, communication issues, and poor project management. In Thailand, there notable shortages empirical case the Information System field, research included. Our study serves as source...
An enterprise resource planning (ERP) system offers vital capabilities to promote business competitiveness, operational excellence, and cost efficiency. Despite of advance in technology research, enterprises are still struggling the process implementing routinizing use ERP, as well as, achieving an optimal range benefits it offers. The adoption challenges seem be increasing context developing countries where organizational cultures, attitude towards changes ways work different than ERP...
Teaching machine learning (ML) and artificial intel-ligence (AI) for middle-to-high school students is crucial to build a good sustainable research community. However, the current ML education system ecosystem in developing countries, including most countries South East Asia (SEA), still far from reaching students. Students, especially where English their second language, struggle learn AI even global accessibility of classes online. Thus, teaching these circumstances can be challenging yet...
Cloud computing is applauded as a promising IT solution for SMEs which are generally constrained by limited time, expertise and resources. However cloud implementation complex evolutionary process. It further complicated the technological characteristics, organizational contexts concerns outside an boundary. How can approach their in sensible manner achieve expected results? This article recounts experience of two proposes framework that potentially help small medium SaaS providers to better...
Extraction of personal information from unstructured data presents itself as a challenge, location and context the are unpredictable. Especially in Thai language where there is no punctuation, capitalization or ending character that separate specific names rest sentence. We propose system capable automatically extracting named entity web site snippets, using celebrities sample group then compare with popular celebrity websites. have tested our method on celebrities, achieved better accuracy...