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In the problem of VMs consolidation for cloud energy saving, workload characteristics should be considered to make a more reasonable solution for VM placement. Different workload works in a varied CPU utilization during its work time according to its task characteristics. However, there are many works that evaluate energy consumption have the basic assumption that the CPU works on 100% full load....
As an important branch of machine learning, clustering is wildly used for data analysis in various domains. Hierarchical clustering algorithm, one of the traditional clustering algorithms, has excellent stability yet relatively poor time complexity. In this paper, we proposed an efficient hierarchical clustering algorithm by searching given nodes' nearest neighbors iteratively, which depends on an...
Recently, XOR based network coding has been applied to the loss recovery of reliable broadcast transmission in wireless networks, where the source can XOR multiple lost packets with distinct receivers together into one packet and transmits this combined packet in one retransmission, resulting in a significant improvement on transmission efficiency. The problem of finding the optimal XOR coding set...
An important element of BBS public opinion analysis system is to update the contents of knowledge regular library dynamically adding sensitive words constantly to knowledge regular library. Apriori algorithm is classical algorithm of mining association rules. This paper presents a new method of adding the contents of knowledge regular automatically using association rule models. Experimental results...
Live migration of virtual machine has attracted significant attention in recent years. It facilitates system online maintenance, load balancing, fault tolerance and power management. Although pre-copy approach can balance the downtime and total migration time of contradictions, it will cap the number of copying iterations to the maximum number of iterations since the writable working set is not guaranteed...
As association rules widely used, it needs to study many problems, one of which is the generally larger and multi-dimensional datasets, and the rapid growth of the mount of data. Single-processor's memory and CPU resources are very limited, which makes the algorithm performance inefficient. Recently the development of network and distributed technology makes cloud computing a reality in the implementation...
Feature selection is a very important part for datamining, machinery learning and pattern recognition. Distance plays a vital role in Support Vector Machines (SVM) theory. Relief-F algorithm solves feature redundancy well but doesn't guarantee the maximum distance. To overcome this problem, a feature subset selection algorithm is proposed which takes SVM average distance as estimation rule and sequential...
To make up the limitation of traditional secret sharing schemes that the length of secret can not be extremely great, we use the theory of Jordan matrix factorization and combine with the formulary of Lagrange putting forward an algorithm of (r, n) threshold secret sharing with short share and high efficiency. The length of secret share that each participator needs to conserve has no relation with...
Computing of some parameters using great amount of data is a great challenge in data mining fields so far. DMG (data mining grid) is designed to solve the computing problem. The design of the workflow service in DMG and the distributed data mining algorithm, are investigated. A sample application in telecom field customer value analysis is and illustrated. In the sample application, Clique, which...
In telecom social network, the context-based prediction analysis is an important topic, and computing of some context parameters using great amount of data is a problem so far. Architecture of DMG (data mining grid) is proposed and prototype of MDG is designed to solve the computing problem. Two of the important issues in DMG, which are the design of the workflow service in DMG and the distributed...
To improve the survivability of distributed storage systems, using the theory of similarity transformation of Jordan standard shape in theory of matrix, combining the method of Lagrange interpolation method, we design a safe and high-efficient data distributing algorithm with (r,n) threshold scheme. This algorithm has higher efficiency, stronger security and survivability than reference. It has important...
Along with the increasing requests of the control level for power plant operation, accurate state parameters are needed for the advanced control, diagnosis and optimization algorithm. But the signal of the state parameter is obscured by all kinds of noises in thermal system and difficult to analyze. To solve this problem, a novel least-mean-square(LMS) algorithm is used for characteristic extracting...
The fundamental technique of vision-based multi-touch technique is the high performance image processing. In this paper, two algorithms are presented to resolve the problems of blob recognition and tracking. Image contour transformation algorithm is adopted to analyze the existence of finger contact area and Minimum Distance First (MDF) algorithm is designed to identify and track the corresponding...
The determination of the optimal oxygen content is very important in power plant operation optimization. Due to the disadvantages of traditional ways, this paper proposed a new method to decide the optimal oxygen content based on incremental updating data mining. This method could determine the optimal oxygen content and related frequent items by fuzzy quantitative association rule mining algorithm...
As mobile nodes roam in a wireless network, they continuously associate with different access points and perform handoff operations. However, frequent handoffs can potentially incur unacceptable delays and even interruptions for interactive applications. To alleviate these negative impacts, we present novel association control algorithms that can minimize the frequency of handoffs occurred to mobile...
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