Wellison Santos | Science Computing | Federal University of Pernambuco
EARLY ACADEMIC PURSUITS
Wellison Santos initiated his academic journey with a strong focus on adaptive systems, showcasing early commitment to a field that would later define his career. Starting at Universidade do Estado do Rio Grande do Norte for his BSc in Computer Science, he laid the groundwork for a trajectory marked by academic excellence.
PROFESSIONAL ENDEAVORS
As a seasoned researcher with over seven years of experience, Wellison has seamlessly transitioned his academic knowledge into impactful professional endeavors. His roles as a Visiting International Research Student at Systopia Lab and as a Ph.D. and MS.c. fellow at Universidade Federal de Pernambuco underscore his dedication to advancing research and technology.
CONTRIBUTIONS AND RESEARCH FOCUS
Wellison's contributions are centered around enhancing the Quality of Service (QoS) in cloud-native applications. Notably, his creation of ML-Adapt, a proactive system utilizing machine learning for CPU forecasting in auto-scaling microservices, is a testament to his innovative contributions. His Ph.D. research, focusing on improving ML-Adapt, introduces the Multiple Predictor System (MPS) approach, showcasing a commitment to advancing the capabilities of adaptive systems.
NOTABLE PUBLICATION
Microservices performance forecast using dynamic Multiple Predictor Systems.
Wellison's impact is evident in the tangible results of his work. ML-Adapt's ability to reduce application response time by 20% compared to existing methods demonstrates the real-world implications of his research. His influence extends to the research community, where his findings on MPS's superior accuracy in microservices time-series forecasts have the potential to shape the future of adaptive systems.
ACADEMIC CITES
The citations to Wellison's work, as evidenced by publications in reputable journals and conferences, reflect the academic community's recognition of the significance of his research. His studies on containerized applications auto-scaling and predictive models for adapting microservice-based applications contribute to the academic discourse.
LEGACY AND FUTURE CONTRIBUTIONS
Wellison Santos's legacy lies in his commitment to pushing the boundaries of adaptive systems research. With ongoing projects, including a solution for bottleneck detection in microservices, he is poised to leave a lasting impact. His future contributions are anticipated to further advance the understanding and implementation of adaptive systems in real-world applications.