Models@ run. time: a guided tour of the state of the art and research challenges

N Bencomo, S Götz, H Song - Software & Systems Modeling, 2019 - Springer
More than a decade ago, the research topic models@ run. time was coined. Since then, the
research area has received increasing attention. Given the prolific results during these …

A taxonomy and survey on green data center networks

K Bilal, SUR Malik, O Khalid, A Hameed… - Future Generation …, 2014 - Elsevier
Data centers are growing exponentially (in number and size) to accommodate the escalating
user and application demands. Likewise, the concerns about the environmental impacts …

Cloud monitoring: A survey

G Aceto, A Botta, W De Donato, A Pescapè - Computer Networks, 2013 - Elsevier
Nowadays, Cloud Computing is widely used to deliver services over the Internet for both
technical and economical reasons. The number of Cloud-based services has increased …

A systematic review on cloud computing

F Durao, JFS Carvalho, A Fonseka… - The Journal of …, 2014 - Springer
Cloud computing is an ascending technology that has introduced a new paradigm by
rendering a rational computational model possible. It has changed the dynamics of IT …

An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art

K Alhamazani, R Ranjan, K Mitra, F Rabhi… - Computing, 2015 - Springer
Cloud monitoring activity involves dynamically tracking the Quality of Service (QoS)
parameters related to virtualized resources (eg, VM, storage, network, appliances, etc.), the …

Prepare: Predictive performance anomaly prevention for virtualized cloud systems

Y Tan, H Nguyen, Z Shen, X Gu… - 2012 IEEE 32nd …, 2012 - ieeexplore.ieee.org
Virtualized cloud systems are prone to performance anomalies due to various reasons such
as resource contentions, software bugs, and hardware failures. In this paper, we present a …

A model to compare cloud and non-cloud storage of Big Data

V Chang, G Wills - Future Generation Computer Systems, 2016 - Elsevier
When comparing Cloud and non-Cloud Storage it can be difficult to ensure that the
comparison is fair. In this paper we examine the process of setting up such a comparison …

Managing variability in the IO performance of petascale storage systems

J Lofstead, F Zheng, Q Liu, S Klasky… - SC'10: Proceedings …, 2010 - ieeexplore.ieee.org
Significant challenges exist for achieving peak or even consistent levels of performance
when using IO systems at scale. They stem from sharing IO system resources across the …

z-TORCH: An automated NFV orchestration and monitoring solution

V Sciancalepore, FZ Yousaf… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Autonomous management and orchestration (MANO) of virtualized resources and services,
especially in large-scale network function virtualization (NFV) environments, is a big …

CloudPD: Problem determination and diagnosis in shared dynamic clouds

B Sharma, P Jayachandran, A Verma… - 2013 43rd Annual …, 2013 - ieeexplore.ieee.org
In this work, we address problem determination in virtualized clouds. We show that high
dynamism, resource sharing, frequent reconfiguration, high propensity to faults and …