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With the rapid popularization of smartphones, various applications (Application: APP) have come into being. Therefore, automated testing of mobile applications is particularly important. At present, the automated testing on the market is often completed through test frameworks. However, when using the test framework we need to consider the compatibility of the mobile platform system. What's worse, accessing multiple apps at the same time has a bad impact on accuracy. In view of these problems, a robot-based automated test system for mobile applications is proposed. Firstly, a wireless projection technology is utilized to project the screen of a mobile device onto a computer screen. Then, the optical character recognition (OCR) algorithm and the normalized correlation matching algorithm are used to position the coordinates of the elements. Finally, the robot performs a click operation under control. The experimental results show that the system can achieve cross-platform testing, including automatically testing Chinese software or English software on Android and iOS platforms, and also has high accuracy and robustness.

In view of the existing shortcomings in low automation calculation and non-intuition of stripping and mining engineering volume in surface mine, this paper introduces the Surfer to process spatial data of surface mine, builds the 3d visualization model of surface mine exploitation and calculates the stripping and mining volume. Comparing national standards with calculation of stripping and mining engineering volume based on Surfer by the experiment to prove that the precision reliability of Surfer application in calculation of surface stripping and mining engineering volume.

In cluster file systems, the metadata management is critical to the whole system. Past researches mainly focus on journaling which alone is not enough to provide high-available metadata service. Some others try to use replication, but the extra latency accompanied is a main problem. To guarantee both availability and efficiency, we propose a mechanism for building highly available metadata servers based on replication, which integrates Paxos algorithm effectively into metadata service. The Packed Multi-Paxos is proposed to reduce the latency brought by replication, which is self-adaptive and can make the replication to achieve high throughput under heavy client load and low latency under light client load. By designing efficient architecture and coordination mechanism, all replica server nodes simultaneously provide metadata read-access service. This high-available mechanism could decrease the impact of server failures and there is no interruption of service. The performance results show that the latency caused by replication and redundancy is well under control, and the performance of metadata read operation gains improvement.

In large-scale cluster systems, the failure rate of network connection is non-negligibly high. A cluster file system must have the ability to handle network failures in order to provide high-available data accesses service. Traditionally, network failure handling is only guaranteed by network protocol, or implemented within the file system semantic layer. We present the high-available message-passing framework which is called HMF. Based on the operation hierarchy in cluster file system, HMF guarantees the availability of each pair of network transmissions and their interaction with the file system sub-operations. It separates the network fault-tolerance design from the file system and keeps a simple interface between them. HMF could handle a lot of network failures internally, which greatly simplifies the implementation of file system semantic layer. Performance results show that HMF can increase the availability of message passing and reduce the cost of recovery from network failures. When there are two network channels, HMF also improves aggregate I/O bandwidth by 80% in normal condition while the performance degradation due to recovery is below 10%.

Some popular computing technologies, such as ubiquitous computing, grid computing and thin-client computing, bring people to a much more distributed and pervasive computing environment. Based on these innovative technologies, a distributed virtual personal computing (DVPC) paradigm is coming into being. One of the fundamental challenges in the DVPC design is the virtually integrated but physically distributed desktop system. We proposed Redar, a remote desktop architecture for the DVPC. Redar integrates various user interfaces from diverse service nodes into one virtual desktop, and present the virtual desktop to the ultra-thin user client. The user interfaces currently supported by Redar include the application GUIs as well as the mobile storage interfaces. The key components in Redar are the GUI merger, the virtual desktop manager, the ultra-thin-client and the transport protocols. We have implemented Redar in a DVPC prototype system. According to our evaluation, Redar shows perfect display latency, storage I/O, overhead, scalability and robustness.