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In the big data era, the distributed file system is getting more and more significant due to the characteristics of its scale-out capability, high availability, and high performance. Different distributed file systems may have different design goals. For example, some of them are designed to have good performance for small file operations, such as GlusterFS, while some of them are designed for large...
Data query comparison of large data should process a large number of datasets, which is the core for basic research projects. In the selection of analysis factors, how to choose a better way to provide data analysis library can be very helpful for quickly analysis and search comparison. In this study, we try to design and study, improve the speed of data query and comparison in big datasets, and find...
The situation awareness and service composition are emerging as hottest attractions of software technologies. The issues of situation awareness, which consist of the composition of information content, user custom and practices, environment features, and media characteristics, establish user behavior models to provide required services and information with evolution and dynamic adaptation. We design...
Cloud storage services are pervasive nowadays. Many cloud storage services use distributed file systems as their backend storage systems. Some research results on file-size distribution of file systems show that file systems contain lots of small files. Therefore, this paper proposed a hybrid distributed file system based on Ceph and HDFS that can deliver satisfactory write throughputs for a cloud...
The Apriori algorithm is one of the most well-known and widely accepted methods for the association rule mining. In Apriori, it uses a prefix tree to represent k-itemsets, generates k-itemset candidates based on the frequent ( $$k-1$$ k - 1 )-itemsets, and determines the frequent k-itemsets by traversing the prefix tree iteratively based on the transaction records. When k is small, the execution...
Computing systems and services are now required to provide services with quality, intelligence, accuracy, adaptation, and effectiveness to satisfy the demands of users. Most of the existing systems are executed with fixed computing logic and rules without the flexibility and smartness to react the dynamic changes of computing situations and environment. Information technology is moving toward a new...
The social network public opinion analysis techniques to the analysis of the current industry value, through a network of resources collected for comparison, checking out for consumers and industry benchmark, a sense of community in this study to the analysis of public opinion as the core for network public information public behavior data collection and data information to be compared against the...
Access reliability based of information is an important factor affecting cloud applications. In this research investigates on how Heroku cloud systems necessity file system database publishing technology, with different conditions to test the read and write data access capabilities. To facilitate comparison, will use the commercial database Mongo DB and Posgres SQL as a test database and the study...
Enterprise Cloud Computing (ECC) is a new trend for IT service provisioning due to the concerns of cost down and increase of Quality of Service (QoS). However, there are many obstacles to the services moving from traditional enterprise computing to cloud environment, such as how to assure the quality of services, security, data availability, data privacy, etc. In order to support the risk free migration...
At present, the cloud is now being acclaimed as a less expensive with low maintenance, entirely secure and compatible alternative to traditional computing networks used by physicians and healthcare organizations worldwide. These sensors will collect all the information that is required and the sensors will transmit it into the cloud. These sensors are always-on, real-time data compiling, it rules...
In the process of software development, software testing is a huge project, and most of the software functionality testing is complex and repetitive, should to spend a lot of cost and manpower. Therefore, you can save a lot of manpower and costs, avoid human error and improve software quality if we can achieve automated testing. In the software development process, the application of model-driven...
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