Personal cloud storage is rapidly gaining popularity. A number of Internet service providers, such as Google and Baidu, entered this emerging market and developed a variety of cloud storage services. These ubiquitous services allow people to access personal files all over the world at anytime. With the prevalence of mobile Internet and rich media on web, more and more people use cloud storage for storing working documents, music, private photos and movies. Nevertheless, the size of the media files is often beyond the upper limit that a normal form-based file upload allows hence dedicated large-file upload services are required to be developed. Although various cloud vendors offer versatile cloud storage services, very little is known about the detailed development and deployment of the large-file upload services. This paper proposes a complete solution of large-file upload service, with the contributions in manyfold: Firstly, we do not limit the maximum size of a large file that can be uploaded. This is extremely practical to store huge database files from ERP tools. Secondly, we developed large-file upload service APIs that have very strict verification of correctness, to reduce the risk of data inconsistency. Thirdly, we extends the service developed recently for team collaboration with the capability of handling large files. Fourthly, this paper is arguably the first one that formalizes the testing and deployment procedures of large-file upload services with the help of Docker. In general, most large-file upload services are exposed to the public, facing security and performance issues, which brings much concern. With the proposed Docker-based deployment strategy, we can replicate the large-file upload service agilely and locally, to satisfy massive private or local deployment of KDrive. Finally, we evaluate and analyze the proposed strategies and technologies in accordance to the experimental results.
With the development of the energy Internet, power communication services are heterogeneous, and different power communication services have different business priorities. The power communication services with different priorities have different requirements for network bandwidth and real-time performance. For traditional unified service, a scheduling method cannot meet these service requirements at the same time, and electric power communication network cannot guarantee the quality of service. Therefore, how to make full use of the time-varying characteristics of communication resources to meet the business needs of different priorities and achieve the goals of high resource utilization and transmission quality has become one of the urgent problems in the power communication network. For this reason, in order to adapt to the real-time congestion of the network, we have designed a packet scheduling method based on the dynamic adjustment of service priority, which dynamically adjusts the priority of the power service on the node; in addition, an evaluation method for the trust value of wireless forwarding nodes is introduced to improve the security of data transmission; and finally, we valuate the channel quality to establish a reasonable and efficient packet scheduling mechanism for services of different priorities. Simulation results show that this method improves the communication performance of high-priority services and improves the spectrum resource utilization of the entire system.
Mechanism of credit risk transmission in the regional power market is an important issue in the current risk management of power trading market. This paper purpose a multi-order credit risk propagation model based on IIM (Inoperability Input-output Model) to analyze the propagation mechanism of multi-order credit risk in the regional power market. Meanwhile we conduct simulation analysis, supposed the discrediting behaviors of some nodes of the regional power market, which leads to the related ability loss or economic loss of other market nodes in the power market system. On account of the simulation results, we propose some protective measures of the relevant nodes in the regional power market when different enterprise nodes suffer from credit risk events.
The electric regulation capacity of heating units has been constantly improving due to the promotion of the heating units? flexibility transformation. This improvement has effectively alleviated the long remained serious wind and light abandonment phenomena in the heating season in China. In this paper, we discussed the key technologies of the low pressure zero output heating mode and bypass heating mode, both of which are widely used in thermo-electric decoupling. Moreover, the coupling transformation of the two heating modes has been successfully realized in a heating unit. The electric regulation capacity of the unit has been greatly improved, from 18.6% before the transformation to 66.7%, and the minimum technical output has been also reduced to 14.2% THA. After the transformation, the unit now is able to provide several heating modes with its operational flexibility greatly improved. By comparing the economical efficiency of these heating modes, we obtained the operation mode with the lowest heat rate. This transformation mode provides a huge grid space for the consumption of clean energy, so it is of positive reference value and exemplary significance in implementing the flexibility transformation of heating units.
If the neutral point either on primary or secondary side of potential transformer is not grounded directly, the harmonic voltage measurement will not reflect the real distortion of the system voltage. Also, capacitive voltage transformer on high and medium voltage system cannot be used for harmonic voltage measurement. A new method to set the voltage signal from the tap of Current Transformer bushing is recommended here. The recommended method can achieve a more precise result of harmonic voltage measurement.
This paper investigates the adaptive guaranteed-performance formation control problems for second-order multi-agent systems. Firstly, an adaptive guaranteed-performance formation control protocol is proposed for second-order multi-agent systems, which can achieve fully distributed guaranteed-performance formation control. Then, an adaptive guaranteed-performance formation control criterion is presented in terms of Riccati inequalities and the guaranteed-performance cost is determined. Moreover, the approach of adjusting the formation control gain is proposed based on linear matrix inequalities. Finally, a numerical simulation is provided to demonstrate the effectiveness of theoretical results.
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