Security-aware intermediate data placement strategy in scientific cloud workflows

Security Concerns in Popular Cloud Storage Services

(2013) Cheng-Kang Chu et al.   IEEE PERVASIVE COMPUTING

A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud

(2013) Dong Yuan et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Security and privacy for storage and computation in cloud computing

(2013) Lifei Wei et al.   INFORMATION SCIENCES

Evaluating cloud deployment scenarios based on security and privacy requirements

(2013) Christos Kalloniatis et al.   REQUIREMENTS ENGINEERING

QoS-Aware Fault-Tolerant Scheduling for Real-Time Tasks on Heterogeneous Clusters

(2011) Xiaomin Zhu et al.   IEEE TRANSACTIONS ON COMPUTERS

Compression and aggregation of Bayesian estimates for data intensive computing

(2011) Ruibin Xi et al.   KNOWLEDGE AND INFORMATION SYSTEMS

A view of cloud computing

(2010) Michael Armbrust et al.   COMMUNICATIONS OF THE ACM

A data dependency based strategy for intermediate data storage in scientific cloud workflow systems

(2010) Dong Yuan et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

A data placement strategy in scientific cloud workflows

(2010) Dong Yuan et al.   Future Generation Computer Systems-The International Journal of eScience

CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

(2010) Rodrigo N. Calheiros et al.   SOFTWARE-PRACTICE & EXPERIENCE

A Dataflow-Based Scientific Workflow Composition Framework

(2010) Xubo Fei et al.   IEEE Transactions on Services Computing

A two-phase scheduling strategy for real-time applications with security requirements on heterogeneous clusters

(2009) Xiaomin Zhu et al.   COMPUTERS & ELECTRICAL ENGINEERING

Data Security in the World of Cloud Computing

(2009) Lori M. Kaufman   IEEE SECURITY & PRIVACY

Workflows and e-Science: An overview of workflow system features and capabilities

(2008) Ewa Deelman et al.   Future Generation Computer Systems-The International Journal of eScience