A descriptive literature review and classification of cloud computing research
We present a descriptive literature review and classification scheme for cloud computing
research. This includes 205 refereed journal articles published since the inception of cloud …
research. This includes 205 refereed journal articles published since the inception of cloud …
Cost optimization approaches for scientific workflow scheduling in cloud and grid computing: A review, classifications, and open issues
Workflow scheduling in scientific computing systems is one of the most challenging
problems that focuses on satisfying user-defined quality of service requirements while …
problems that focuses on satisfying user-defined quality of service requirements while …
Cloud computing (SaaS) adoption as a strategic technology: Results of an empirical study
PR Palos-Sanchez, FJ Arenas-Marquez… - Mobile Information …, 2017 - Wiley Online Library
The present study empirically analyzes the factors that determine the adoption of cloud
computing (SaaS model) in firms where this strategy is considered strategic for executing …
computing (SaaS model) in firms where this strategy is considered strategic for executing …
A privacy leakage upper bound constraint-based approach for cost-effective privacy preserving of intermediate data sets in cloud
Cloud computing provides massive computation power and storage capacity which enable
users to deploy computation and data-intensive applications without infrastructure …
users to deploy computation and data-intensive applications without infrastructure …
SABA: A security-aware and budget-aware workflow scheduling strategy in clouds
High quality of security service is increasingly critical for Cloud workflow applications.
However, existing scheduling strategies for Cloud systems disregard security requirements …
However, existing scheduling strategies for Cloud systems disregard security requirements …
SpringerBriefs in Computer Science
This is an introduction to multicast routing, which is the study of methods for routing from one
source to many destinations, or from many sources to many destinations. Multicast is …
source to many destinations, or from many sources to many destinations. Multicast is …
A highly practical approach toward achieving minimum data sets storage cost in the cloud
Massive computation power and storage capacity of cloud computing systems allow
scientists to deploy computation and data intensive applications without infrastructure …
scientists to deploy computation and data intensive applications without infrastructure …
Cost-effective and latency-minimized data placement strategy for spatial crowdsourcing in multi-cloud environment
As an increasingly mature business model, crowdsourcing, especially spatial
crowdsourcing, has played an important role in data collection, disaster response, urban …
crowdsourcing, has played an important role in data collection, disaster response, urban …
Hybrid scheduling for scientific workflows on hybrid clouds
Scientific workflows consist of many interdependent tasks dictated by their data
dependencies. As these workflows are becoming resource-intensive in both data and …
dependencies. As these workflows are becoming resource-intensive in both data and …
A novel workflow-level data placement strategy for data-sharing scientific cloud workflows
X Li, L Zhang, Y Wu, X Liu, E Zhu, H Yi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Cloud computing can provide a more cost-effective way to deploy scientific workflows than
traditional distributed computing environments such as cluster and grid. Due to the large …
traditional distributed computing environments such as cluster and grid. Due to the large …