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 …
A survey on data storage and placement methodologies for cloud-big data ecosystem
Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …
A survey of data partitioning and sampling methods to support big data analysis
Computer clusters with the shared-nothing architecture are the major computing platforms
for big data processing and analysis. In cluster computing, data partitioning and sampling …
for big data processing and analysis. In cluster computing, data partitioning and sampling …
A time-driven data placement strategy for a scientific workflow combining edge computing and cloud computing
B Lin, F Zhu, J Zhang, J Chen, X Chen… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …
Workflow scheduling in multi-tenant cloud computing environments
Multi-tenancy is one of the key features of cloud computing, which provides scalability and
economic benefits to the end-users and service providers by sharing the same cloud …
economic benefits to the end-users and service providers by sharing the same cloud …
[PDF][PDF] Task scheduling optimization in cloud computing based on heuristic algorithm
L Guo, S Zhao, S Shen, C Jiang - Journal of networks, 2012 - tarjomefa.com
Cloud computing is an emerging technology and it allows users to pay as you need and has
the high performance. Cloud computing is a heterogeneous system as well and it holds …
the high performance. Cloud computing is a heterogeneous system as well and it holds …
A revised discrete particle swarm optimization for cloud workflow scheduling
A cloud workflow system is a type of platform service which facilitates the automation of
distributed applications based on the novel cloud infrastructure. Compared with grid …
distributed applications based on the novel cloud infrastructure. Compared with grid …
A novel data placement strategy for data-sharing scientific workflows in heterogeneous edge-cloud computing environments
The deployment of datasets in the heterogeneous edge-cloud computing paradigm has
received increasing attention in state-of-the-art research. However, due to their large sizes …
received increasing attention in state-of-the-art research. However, due to their large sizes …
Modeling a dynamic data replication strategy to increase system availability in cloud computing environments
DW Sun, GR Chang, S Gao, LZ **… - Journal of computer …, 2012 - Springer
Failures are normal rather than exceptional in the cloud computing environments. To
improve system availability, replicating the popular data to multiple suitable locations is an …
improve system availability, replicating the popular data to multiple suitable locations is an …
Scientific workflows in IoT environments: a data placement strategy based on heterogeneous edge-cloud computing
In Industry 4.0 and Internet of Things (IoT) environments, the heterogeneous edge-cloud
computing paradigm can provide a more proper solution to deploy scientific workflows …
computing paradigm can provide a more proper solution to deploy scientific workflows …