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It is expected that there are a variety of energy resources to be jointly operated by the power system in the future. Through jointly operating all types of energy resources via the Internet, Energy Internet is a promising solution to increase energy efficiency. However, the increasing integration of energy resources inevitably imposes challenges in secure communication in the Energy Internet. Resourceful...
The rapid development of cloud computing service allows data and computation intensive applications to be easily moved into cloud. Users pay for computing and storing resources to deal with their data in the cloud, therefore how to manage those resources has become an important issue. In order to satisfy different demands of users, various storage strategies have been proposed. Aiming at presenting...
Current Infrastructure-as-a-Service (IaaS) clouds offer both on-demand and reservation instance purchasing options. Users can combine these two options dynamically to serve time-varying demands while minimizing their instance acquisition costs. However, when future demands are unknown, it is far from trivial for cloud users to make optimal instance purchasing decisions. To deal with this problem,...
The rapid development of cloud computing service allows scientific research data to be easily moved into cloud. Users pay for computational and storing resources to deal with their data in the cloud therefore how to manage those resources has become an urgent issue to be solved. Large application data need to be handled every day, thus a good storage strategy can save monetary cost as well as improve...
Data reliability and storage costs are two primary concerns for current Cloud storage systems. To ensure data reliability, the widely used multi-replica (typically three) replication strategy in current Clouds incurs a huge extra storage consumption, resulting in a huge storage cost for data-intensive applications in the Cloud in particular. In order to reduce the Cloud storage consumption while meeting...
Data-intensive scientific applications are posing many challenges in distributed computing systems. In the scientific field, the application data are expected to double every year over the next decade and further. With this continuing data explosion, high performance computing systems are needed to store and process data efficiently, and workflow technologies are facilitated to automate these scientific...
The functional vulnerability of Supervisory Control and Data Acquisition (SCADA) Network is investigated in this paper. To describe the functional behavior of SCADA network, a simple dynamic model is used. Then, two SCADA networks with typical structure are reproduced according to the ones in the real world. The functional behaviors of two SCADA networks are investigated, which show that the star...
Due to the advantages of cost-effectiveness, on-demand resource provision and easy for sharing, cloud computing has grown in popularity with research community for deploying scientific applications such as workflows. When such interest continues growing and workflows are widely performed in collaborative cloud environments that consist of a number of data centers, there is an urgent need for exploiting...
Nowadays, large-scale Cloud-based applications have put forward higher demand for storage ability of data centres. Data in the Cloud need to be stored with high efficiency and cost effectiveness while meeting the requirement of reliability. While in current Cloud systems, typical 3-replicas data replication strategies are applied for data reliability, in this paper we propose a novel cost-effective...
Many scientific workflows are data intensive where a large volume of intermediate data is generated during their execution. Some valuable intermediate data need to be stored for sharing or reuse. Traditionally, they are selectively stored according to the system storage capacity, determined manually. As doing science on cloud has become popular nowadays, more intermediate data can be stored in scientific...
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