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Task scheduling in big data platforms: a systematic literature review
Abstract Context: Hadoop, Spark, Storm, and Mesos are very well known frameworks in both
research and industrial communities that allow expressing and processing distributed …
research and industrial communities that allow expressing and processing distributed …
Big data emerging technologies: A CaseStudy with analyzing twitter data using apache hive
These are the days of Growth and Innovation for a better future. Now-a-days companies are
bound to realize need of Big Data to make decision over complex problem. Big Data is a …
bound to realize need of Big Data to make decision over complex problem. Big Data is a …
[HTML][HTML] Experimental analysis in Hadoop MapReduce: a closer look at fault detection and recovery techniques
Hadoop MapReduce reactively detects and recovers faults after they occur based on the
static heartbeat detection and the re-execution from scratch techniques. However, these …
static heartbeat detection and the re-execution from scratch techniques. However, these …
KPIs-based clustering and visualization of HPC jobs: a feature reduction approach
High-Performance Computing (HPC) systems need to be constantly monitored to ensure
their stability. The monitoring systems collect a tremendous amount of data about different …
their stability. The monitoring systems collect a tremendous amount of data about different …
an anomaly detection method based on learning of “scores sequence”
D Li, S Shi, Y Zhang, H Wang, J Luo - … 21-23, 2018, Proceedings, Part II, 2018 - Springer
Anomaly detection is very important in the field of operation and maintenance (O&M).
However, in O&M, we find that direct use of the existing anomaly detection algorithms often …
However, in O&M, we find that direct use of the existing anomaly detection algorithms often …
Performance anomaly detection in HPC
MS Halawa - 2021 - investigo.biblioteca.uvigo.es
In recent years the demand for High-performance computing (HPC) data centers has
increased. HPC often consists of thousands of computing services. Given the high costs …
increased. HPC often consists of thousands of computing services. Given the high costs …
Adaptive Failure-Aware Scheduling for Hadoop
M Soualhia - 2018 - spectrum.library.concordia.ca
Given the dynamic nature of cloud environments, failures are the norm rather than the
exception in data centers powering cloud frameworks. Despite the diversity of integrated …
exception in data centers powering cloud frameworks. Despite the diversity of integrated …
A study of an online dynamic workload prediction algorithm in the cloud environment
Y Wang, C Fan - Machinery, Materials Science and Engineering …, 2017 - taylorfrancis.com
With the foundation and inception of resource management, workload prediction technology
has always been the hot spot in the field of computing research. With the rapid development …
has always been the hot spot in the field of computing research. With the rapid development …