SABA: A security-aware and budget-aware workflow scheduling strategy in clouds

L Zeng, B Veeravalli, X Li - Journal of parallel and Distributed computing, 2015 - Elsevier
High quality of security service is increasingly critical for Cloud workflow applications.
However, existing scheduling strategies for Cloud systems disregard security requirements …

Scalestar: Budget conscious scheduling precedence-constrained many-task workflow applications in cloud

L Zeng, B Veeravalli, X Li - 2012 IEEE 26th International …, 2012 - ieeexplore.ieee.org
Traditionally, the" best effort, cost free" model of Supercomputers/Grids does not consider
pricing. Clouds have progressed towards a service-oriented paradigm that enables a new …

Virtualized optical network services across multiple domains for grid applications

Y Wang, Y Jin, W Guo, W Sun… - IEEE Communications …, 2011 - ieeexplore.ieee.org
In the field of grid computing over optical networks, joint scheduling of computing and
network resources is an important issue. However previous research efforts were static …

Co-scheduling computational and networking resources in elastic optical networks

J Wu, J Zhao, S Subramaniam - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
Today's applications such as cloud computing and e-science involve the processing of
complex jobs consisting of several inter-dependent tasks executing on heterogeneous …

Resource Allocation in Multigranular Optical Networks

J Wu - 2018 - search.proquest.com
Abstract Thesis Statement: Cost-effective switching and spectrum utilization efficiency have
become critical design considerations in optical networks. This dissertation provides in …

On The Design of A Budget‐Conscious Adaptive Scheduler for Handling Large‐Scale Many‐Task Workflow Applications in Clouds

B Veeravalli, L Zeng, X Li - Large Scale Network‐Centric …, 2013 - Wiley Online Library
This chapter presents a budget‐conscious adaptive scheduler, which minimizes many‐task
workflow (MTW) execution time within a certain budget. The proposed MTW scheduling …