Intelligent workload factoring for a hybrid cloud computing model

H Zhang, G Jiang, K Yoshihira, H Chen… - 2009 Congress on …, 2009 - ieeexplore.ieee.org
We present an intelligent workload factoring service for enterprise customers to make the
best use of public cloud services along with their privately-owned (legacy) data centers. It …

Proactive workload management in hybrid cloud computing

H Zhang, G Jiang, K Yoshihira… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The hindrances to the adoption of public cloud computing services include service reliability,
data security and privacy, regulation compliant requirements, and so on. To address those …

Workload analysis and demand prediction of enterprise data center applications

D Gmach, J Rolia, L Cherkasova… - 2007 IEEE 10th …, 2007 - ieeexplore.ieee.org
Advances in virtualization technology are enabling the creation of resource pools of servers
that permit multiple application workloads to share each server in the pool. Understanding …

Capacity management and demand prediction for next generation data centers

D Gmach, J Rolia, L Cherkasova… - … Conference on Web …, 2007 - ieeexplore.ieee.org
Advances in server, network, and storage virtualization are enabling the creation of resource
pools of servers that permit multiple application workloads to share each server in the pool …

Statistical characterization of business-critical workloads hosted in cloud datacenters

S Shen, V Van Beek, A Iosup - 2015 15th IEEE/ACM …, 2015 - ieeexplore.ieee.org
Business-critical workloads--web servers, mail servers, app servers, etc.--are increasingly
hosted in virtualized data enters acting as Infrastructure-as-a-Service clouds (cloud data …

Cloud management: Challenges and opportunities

T Forell, D Milojicic, V Talwar - 2011 IEEE international …, 2011 - ieeexplore.ieee.org
Cloud computing offers on-demand access to shared resources and services, hosted in
warehouse sized data centers at cloud providers. Effective management of these shared …

Rpps: A novel resource prediction and provisioning scheme in cloud data center

W Fang, ZH Lu, J Wu, ZY Cao - 2012 IEEE Ninth International …, 2012 - ieeexplore.ieee.org
Cloud data centers and virtualization are being highly considered for enterprises and
industries. However, elastic fine-grained resource provision while ensuring performance …

Forecasting for grid and cloud computing on-demand resources based on pattern matching

E Caron, F Desprez, A Muresan - 2010 IEEE Second …, 2010 - ieeexplore.ieee.org
The Cloud phenomenon brings along the cost-saving benefit of dynamic scaling. As a result,
the question of efficient resource scaling arises. Prediction is necessary as the virtual …

Characterizing data analysis workloads in data centers

Z Jia, L Wang, J Zhan, L Zhang… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
As the amount of data explodes rapidly, more and more corporations are using data centers
to make effective decisions and gain a competitive edge. Data analysis applications play a …

A" no data center" solution to cloud computing

T Mengistu, A Alahmadi, A Albuali… - 2017 IEEE 10th …, 2017 - ieeexplore.ieee.org
Current Cloud Computing is primarily based on proprietary data centers, where hundreds of
thousands of dedicated servers are setup to host the cloud services. In addition to the huge …