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Through the services of data processing, resource management, development, deployment etc. provided by PaaS, all relevant mass data is modularized and platformed.
Security policy management of cloud computing After the collection and storage of mass data, the security of user data has become more and more important.
In the side of mass data acquisition and interface data output, hardware firewall is configured to ensure the system operation security.
MapReduce: Simplified Data Processing on Large Clusters [J].
MapReduce: a flexible data processing tool[J].

In order to weaken the randomness of the original data, and strengthen the regularity of the original data, we take a weight average of the original data.
In order to predict the load data of the next period or the next few days more accurately, this paper adopts the metabolism method, by which we remove the old data and fill in the new data.
If the data of 1-4 days is known and now has measured the data on the fifth day, the window shifts to the right of a cell when forecasting the data of the sixth day, letting go of 1 and snatching 5.
In this way, we not only ensure the equal dimension, but also obtain the latest forecast data as samples of the original data.
The original data, and forecast results shown in Table 2, prediction test as shown in Table 3.

The deterioration of reinforced concrete (RC) structure due to chloride attack plays an important role in the reduction of structure strength.
The objectives of this process are collecting the data, testing the structure and analyzing the field data to assess the risk index.
Refer to Table 1, the preliminary assessment results were Secondary data collecting: This study took the data from the reinforced concrete column of cooling tower building at Chonburi, Thailand.
These data will be used to calculation in the detailed assessment.
The other data are used to analyze as shown in Table 4.

The data acquisition system consists of a computer center with a data acquisition board, module channels, and connecting cables.
In order to better comprehend the experiment, a statistical analysis of the data obtained experimentally was introduced.
The resultant data are shown in Table 1.
For this reason, the value of R2 is also relevant: it shows that the average from these values is explained almost entirely, covering over 91% of the data.
Therefore, it is necessary that the vibration data be subsequently added to this work, evidencing and justifying the cutting power results.

Our data indicate that 25 kGray gamma irradiation reduces the osteoconductive and osteoinductive properties of the morselized human bone graft.
Statistical analysis (ANOVA and the Kruskal-Wallis test) of the individual data showed a significant difference between the 0, 15 kGray, and 25 kGray groups (Table 1).
Tetrachrome staining of the defects packed with the human bone grafts treated with 0 (a), 15 (b) or 25 kGray (c) gamma irradiation showing a dose-dependent reduction of new bone formation (light blue, solid arrow) around the implanted bone grafts (red, open arrow).

Wear properties of samples were discussed by tacking various wear testing data. 1.
Introduction Since speedup of train and reduction of cost to maintain the electric correcting system are strongly required in recent railway operation, studies on the carbon based contact strip materials and their wear phenomena become one of the important topics in the field of high-speed electric railways [1-3].
Ws = a E b Using data from the present investigation, coefficients a and b were calculated and listed in Table 3 for each wear condition.

Combined with the data from a hot strip factory, the elastic deformation of the HOFC work roll was analyzed following the influence coefficient method.
Original data.
(2) The curve can get quality products without modifying the primary equipments significantly and this practice accord with the pursuit of energy conservation and cost reduction

The dynamic simulation of the drilling process of carbon fiber reinforced plastics is carry on, which based on the elastic-plastic theory of material deformation and the thermal coupling theory, obtaining continuous drilling force and torque data.
In this paper, establishing CFRP finite element model using finite element analysis software Abaqus, and dynamic simulation of carbon fiber composite material in the drilling process, obtained continuous cutting chip, drilling force and torque and other data, for selecting the reasonable cutting parameters and the development of appropriate processing technology provide the main basis, to the further use of finite element method research the carbon fiber reinforced composite material machining foundation. 2 Simulating of drilling CFRP with Abaqus 2.1 establishing CFRP finite element model The workpiece is a square laminated composite that imitate from the actual drilling process model in the drilling simulation, which length and width is 40mm and the thickness is 4.5mm, there has a mounting hole in each corner at the workpiece which diameter is 5mm.
Because at every hole arc at least distribute of four two unit, so around the hole using relatively fine mesh, and using 20 node hexahedron reduction unit ( R3D20R ) in the hole in order to obtain more accurate results of stress.

Also, the field measurements were compared with theoretical calculations to validate the experimental data, and the results showed a good agreement with each other.
To complete one full-span aqueduct (10 m), three 3,300-mm long segments were cast and assembled—this method allows the reduction of production cost for molds and increases the vibrating efficiency.
The field measured data showed that the elongation of the joint between March 27, 2013 (the date the testing initiated) and August, 2, 2014 (the date the maximum temperature occurred) was 23.47 mm, which was observed at location 4 of Figure 5.

The proposed solution methodology is tested on a sample data set mimicking the real life situation and the results are found to be satisfactory.
The inclusion of cross-dock facility enhances the speed of delivery to customers, and reduction in transportation costs and time, in addition to the optimum logistics cost achieved by the flexible delivery modes.
The solution methodology can be applied to other data sets as well.