Landscape of automated log analysis: A systematic literature review and mapping study
Ł Korzeniowski, K Goczyła - IEEE Access, 2022 - ieeexplore.ieee.org
Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …
systems. The main uses of log files have always been failure identification and root cause …
[HTML][HTML] Log-based software monitoring: a systematic mapping study
Modern software development and operations rely on monitoring to understand how
systems behave in production. The data provided by application logs and runtime …
systems behave in production. The data provided by application logs and runtime …
Analysis and clustering of workload in google cluster trace based on resource usage
Cloud computing has gained interest amongst commercial organizations, research
communities, developers and other individuals during the past few years. In order to move …
communities, developers and other individuals during the past few years. In order to move …
Construing the big data based on taxonomy, analytics and approaches
Big data have become an important asset due to its immense power hidden in analytics.
Every organization is inundated with colossal amount of data generated with high speed …
Every organization is inundated with colossal amount of data generated with high speed …
Towards data-driven autonomics in data centers
A Sîrbu, O Babaoglu - 2015 International Conference on Cloud …, 2015 - ieeexplore.ieee.org
Continued reliance on human operators for managing data centers is a major impediment
for them from ever reaching extreme dimensions. Large computer systems in general, and …
for them from ever reaching extreme dimensions. Large computer systems in general, and …
Towards operator-less data centers through data-driven, predictive, proactive autonomics
A Sîrbu, O Babaoglu - Cluster Computing, 2016 - Springer
Continued reliance on human operators for managing data centers is a major impediment
for them from ever reaching extreme dimensions. Large computer systems in general, and …
for them from ever reaching extreme dimensions. Large computer systems in general, and …
Evaluating performance variations cross cloud data centres using multiview comparative workload traces analysis
How to evaluate the performance variations of large-scale cloud data centres is challenging
due to diverse nature of cloud platforms. Classic methods such as profiling-based evaluating …
due to diverse nature of cloud platforms. Classic methods such as profiling-based evaluating …
A big data analyzer for large trace logs
Current generation of Internet-based services are typically hosted on large data centers that
take the form of warehouse-size structures housing tens of thousands of servers. Continued …
take the form of warehouse-size structures housing tens of thousands of servers. Continued …
分布式服务资源自适应弹性伸缩研究综述.
胡程， 陈仕鸿 - Journal of Frontiers of Computer Science & …, 2024 - search.ebscohost.com
分布式服务资源环境下, 由于峰值负载的整体占比很小, 大量服务资源长期处于低利用率甚至
闲置状态. 通过实现资源自适应弹性伸缩, 在高负载时扩充服务资源以应对高需求 …
闲置状态. 通过实现资源自适应弹性伸缩, 在高负载时扩充服务资源以应对高需求 …
A holistic approach to log data analysis in high-performance computing systems: The case of IBM Blue Gene/Q
A Sîrbu, O Babaoglu - Euro-Par 2015: Parallel Processing Workshops …, 2015 - Springer
The complexity and cost of managing high-performance computing infrastructures are on the
rise. Automating management and repair through predictive models to minimize human …
rise. Automating management and repair through predictive models to minimize human …