scholarly journals an optimization scheduling model for multi-user software under cloud computing environment

Author(s):  
Xiang-gang Wang
2014 ◽  
Vol 644-650 ◽  
pp. 1822-1825
Author(s):  
Hong Liang Guo ◽  
He Long Yu

Under the cloud computing environment, massive data is widely used in many fields. In the face of cloud computing environments with massive data center, an efficient scheduling model need to be established. In order to solve massive data processing inefficiencies, redundant business systems and data silos and other issues, this paper proposes a scheduling model of migrating technology based on efficiency optimization virtual machine to meet the massive data efficiently scheduling requirements. Experimental results show that the improved algorithm can effectively advance the efficiency of cloud computing massive data scheduling, with high feasibility and applicability.


Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.


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