Performance-aware management of cloud resources: A taxonomy and future directions
The dynamic nature of the cloud environment has made the distributed resource
management process a challenge for cloud service providers. The importance of …
management process a challenge for cloud service providers. The importance of …
Online diagnosis of performance variation in HPC systems using machine learning
As the size and complexity of high performance computing (HPC) systems grow in line with
advancements in hardware and software technology, HPC systems increasingly suffer from …
advancements in hardware and software technology, HPC systems increasingly suffer from …
Clouddet: Interactive visual analysis of anomalous performances in cloud computing systems
Detecting and analyzing potential anomalous performances in cloud computing systems is
essential for avoiding losses to customers and ensuring the efficient operation of the …
essential for avoiding losses to customers and ensuring the efficient operation of the …
Anomaly Detection in Microservice-Based Systems
Currently, distributed software systems have evolved at an unprecedented pace. Modern
software-quality requirements are high and require significant staff support and effort. This …
software-quality requirements are high and require significant staff support and effort. This …
Predicting failures in multi-tier distributed systems
Many applications are implemented as multi-tier software systems, and are executed on
distributed infrastructures, like cloud infrastructures, to benefit from the cost reduction that …
distributed infrastructures, like cloud infrastructures, to benefit from the cost reduction that …
On the effectiveness of isolation‐based anomaly detection in cloud data centers
RN Calheiros, K Ramamohanarao… - Concurrency and …, 2017 - Wiley Online Library
The high volume of monitoring information generated by large‐scale cloud infrastructures
poses a challenge to the capacity of cloud providers in detecting anomalies in the …
poses a challenge to the capacity of cloud providers in detecting anomalies in the …
A new weighted fuzzy C-means clustering for workload monitoring in cloud datacenter platforms
The rapid growth in virtualization solutions has driven the widespread adoption of cloud
computing paradigms among various industries and applications. This has led to a growing …
computing paradigms among various industries and applications. This has led to a growing …
E2EWatch: an end-to-end anomaly diagnosis framework for production HPC systems
Abstract In today's High-Performance Computing (HPC) systems, application performance
variations are among the most vital challenges as they adversely affect system efficiency …
variations are among the most vital challenges as they adversely affect system efficiency …
Analysis of load balancing detection methods using hidden markov model for secured cloud computing environment
Cloud computing is rapidly growing nowadays and stands a creative computing paradigm
which provides Internet facilities to meet users' storage needs. Various interconnected …
which provides Internet facilities to meet users' storage needs. Various interconnected …
Anthropomorphic diagnosis of runtime hidden behaviors in OpenMP multi-threaded applications
W Wang, D Li, W Luo, Y Kang, L Wang - Journal of Parallel and Distributed …, 2023 - Elsevier
Extreme-scale computing involves hundreds of millions of threads with multi-level
parallelism running on large-scale hierarchical and heterogeneous hardware. Some …
parallelism running on large-scale hierarchical and heterogeneous hardware. Some …