[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2025] 저자: Lingzhe Zhang, Tong Jia, Mengxi Jia | 인용수: 37 | 초록: As large language models (LLMs) grow increasingly sophisticated and pervasive, their application to various Artificial Intelligence for IT Operations (AIOps) tasks has garnered significant attention. However, a comprehensive understanding of the impact, potential, and limitations of LLMs in AIOps remains in its infancy. To address this gap, we conducted a detailed survey of LLM4AIOps, focusing on how LLMs can optimize processes
[학술논문 2021] 저자: Donatella Manno, Giovanni Cipriani, Giuseppina Ciulla | 인용수: 151 | 초록:
[학술논문 2022] 저자: Yassine Himeur, Mariam Elnour, Fodil Fadli | 인용수: 520 | 초록: In theory, building automation and management systems (BAMSs) can provide all the components and functionalities required for analyzing and operating buildings. However, in reality, these systems can only ensure the control of heating ventilation and air conditioning system systems. Therefore, many other tasks are left to the operator, e.g. evaluating buildings' performance, detecting abnormal energy consumption, identif
[학술논문 2024] 저자: Md Naeem Hossain, M. M. Rahman, D. Ramasamy | 인용수: 48 | 초록: Conventional fault diagnosis systems have constrained the automotive industry to damage vehicle maintenance and component longevity critically. Hence, there is a growing demand for advanced fault diagnosis technologies to mit... | Find, read and cite all the research you need on Tech Science Press
[학술논문 2021] 저자: Sai Prasad Veluru | 인용수: 10 | 초록: Modern cloud infrastructure management has become more complex as dynamic scaling, distributed systems & growing data volume create an environment that challenges operations teams. The requirement of quick & more intelligent problem identification and response becomes more critical as businesses rely more on cloud-native applications and also services. Our approach to incident management is being changed by artificial intelligence (AI) and machin
[학술논문 2024] 저자: Subash Banala | 인용수: 1 | 초록: Integrating Generative AI into Site Reliability Engineering (SRE) marks a transformative evolution in maintaining and enhancing complex systems’ reliability, scalability, and efficiency. This paper explores the synergistic potential of Generative AI in SRE, focusing on predictive maintenance, automated incident response, and dynamic resource management. Our methodology involves a mixed-method approach, combining quantitative data from real-world case
[학술논문 2023] 저자: Qian Cheng, Doyen Sahoo, Amrita Saha | 인용수: 20 | 초록: Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big data generated by IT Operations processes, particularly in cloud infrastructures, to provide actionable insights with the primary goal of maximizing availability. There are a wide variety of problems to address, and multiple use-cases, where AI capabilities can be leveraged to enhance operational efficiency. Here we provide a review o
[학술논문 2025] 저자: Răzvan Daniel Zota, Corneliu Bărbulescu, Radu Constantinescu | 인용수: 25 | 초록: The increasing complexity of IT operations necessitates advanced automation to ensure system availability, resilience, continuity, performance, security, and maintainability. Traditional IT management frameworks, such as the Information Technology Infrastructure Library (ITIL), have standardized service management processes, while models like IBM’s Process Reference Model for IT (PRM-IT) have facilitated
[학술논문 2024] 저자: Ishu Anand Jaiswal | 인용수: 19 | 초록: Increasingly complex distributed enterprise platforms have revealed severe limitations of traditional monitoring tools, which cannot correlate heterogeneous telemetry signals or translate low-level anomalies into actionable incident-level insights. While recent progress in log-, metric-, and trace-based machine learning has improved anomaly detection accuracy, research demonstrates there are many remaining challenges in terms of cross-modal corr