A systematic review on anomaly detection for cloud computing environments
T Hagemann, K Katsarou - Proceedings of the 2020 3rd Artificial …, 2020 - dl.acm.org
The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …
the field of cloud computing in several different ways: from the detection of various types of …
Performance-aware management of cloud resources: A taxonomy and future directions
SK Moghaddam, R Buyya… - ACM Computing Surveys …, 2019 - dl.acm.org
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 …
Data-driven software defined network attack detection: State-of-the-art and perspectives
Abstract SDN (Software Defined Network) has emerged as a revolutionary technology in
network, a substantial amount of researches have been dedicated to security of SDNs to …
network, a substantial amount of researches have been dedicated to security of SDNs to …
Failover strategy for fault tolerance in cloud computing environment
Cloud fault tolerance is an important issue in cloud computing platforms and applications. In
the event of an unexpected system failure or malfunction, a robust fault‐tolerant design may …
the event of an unexpected system failure or malfunction, a robust fault‐tolerant design may …
Anomaly detection of network-initiated LTE signaling traffic in wireless sensor and actuator networks based on a Hidden semi-Markov Model
LTE signaling attack is a serious threat to a wireless sensor and actuator network whose
facilities are dispersed and connected with LTE technology on a large scale, in order to …
facilities are dispersed and connected with LTE technology on a large scale, in order to …
Big data analytics-enhanced cloud computing: Challenges, architectural elements, and future directions
The emergence of cloud computing has made dynamic provisioning of elastic capacity to
applications on-demand. Cloud data centers contain thousands of physical servers hosting …
applications on-demand. Cloud data centers contain thousands of physical servers hosting …
ACAS: An anomaly-based cause aware auto-scaling framework for clouds
SK Moghaddam, R Buyya… - Journal of Parallel and …, 2019 - Elsevier
Cloud computing as a model to deliver distributed resource and services on the pay-as-you-
go policy has become increasingly popular for all organizations including industry. However …
go policy has become increasingly popular for all organizations including industry. However …
A business-mapping approach to multi-criteria group selection of collection centers and recovery facilities
KK Pochampally, SM Gupta - IEEE International Symposium on …, 2004 - ieeexplore.ieee.org
For a prospective reverse supply chain to operate efficiently, the designing of that chain must
involve selection of collection centers and recovery facilities that have sufficient success …
involve selection of collection centers and recovery facilities that have sufficient success …
Resource availability prediction in distributed systems: An approach for modeling non-stationary transition probabilities
S Kianpisheh, M Kargahi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Large scale distributed systems employ thousands of resources which inevitably suffer from
the unavailability issue. Serious side effects like unexpected delay or failure in the …
the unavailability issue. Serious side effects like unexpected delay or failure in the …
Performance anomaly detection using isolation‐trees in heterogeneous workloads of web applications in computing clouds
S Kardani‐Moghaddam, R Buyya… - Concurrency and …, 2019 - Wiley Online Library
Cloud computing is a model for on‐demand access to shared resources based on the pay‐
per‐use policy. In order to efficiently manage the resources, a continuous analysis of the …
per‐use policy. In order to efficiently manage the resources, a continuous analysis of the …