Elastic Pipelining in an In-Memory Database Cluster

Author(s):  
Li Wang ◽  
Minqi Zhou ◽  
Zhenjie Zhang ◽  
Yin Yang ◽  
Aoying Zhou ◽  
...  
Keyword(s):  
2014 ◽  
Vol 556-562 ◽  
pp. 5748-5751
Author(s):  
Cui Song Chen

The Internet of things is currently an emerging hot technology at home and abroad, bringing profound changes for people's production and life style. At the moment of bringing many benefits, the Internet of things also brings about unprecedented challenges for software, even the whole field of information technology. Specific to the mass, heterogeneity, sensitivity of time and space and dynamic flow, this paper proposes the concurrency control mechanism of the global transaction based on the Internet of things cluster system, effectively improving the concurrence of the global transaction execution, increasing the transaction throughput rate, reducing transaction response time and improving the performance of the system.


2021 ◽  
Vol 9 (1) ◽  
pp. 75-88
Author(s):  
Susi Susi ◽  
Alyauma Hajjah

The Information Systems department of Pelita Indonesia Institute of Business and Technology produces graduates with education knowledge to face the professional work, but the majority of students after graduating do not work according to their graduate profiles/educational background. This research aimed to help students in determining the appropriate graduate profile. The proposed system was built using the K-means method for the classification process of graduate profiles; hence, the results can be used as recommended profession to be taken. The data used in this study is the data of students of class 2016, and these results are compared with their current professional record data with the aim of knowing the percentage of professional suitability obtained with the current profession. After this research is tested, the results of the classification of the graduate profile can be obtained where there are 10 students in the administrator database cluster, 11 students of the web design and developer cluster, one student of the cluster information system manager, and 8 students of the cluster system analysis. The percentage of suitability was 43.33%. This program is designed using the PHP programming language.


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