A5103025291- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Higher Education and Teaching Methods
- Caching and Content Delivery
- Ideological and Political Education
- Educational Technology and Assessment
- Distributed and Parallel Computing Systems
- Education and Work Dynamics
- Blockchain Technology Applications and Security
- Higher Education and Employability
- Data Stream Mining Techniques
- QR Code Applications and Technologies
- Software-Defined Networks and 5G
- Advanced Clustering Algorithms Research
- Advanced Decision-Making Techniques
- Web Applications and Data Management
- Education Systems and Policy
- Career Development and Diversity
- Second Language Learning and Teaching
- Software Testing and Debugging Techniques
- Multimedia Communication and Technology
- Interconnection Networks and Systems
- Grit, Self-Efficacy, and Motivation
- Health and Well-being Studies
- Optimism, Hope, and Well-being
Zhoukou Normal University
2011-2024
Zunyi Normal College
2008-2022
Alibaba Group (China)
2019
Xi'an Jiaotong University
2015-2016
Thang Long University
2010
Zhaotong University
2010
Wuhan Sports University
2005
Quy Nhon University
2004
For the problem that energy efficiency of cloud computing data center is low, from point view servers, we propose a new energy‐efficient multi‐job scheduling model based on Google’s massive processing framework. To solve this model, design practical encoding and decoding method for individuals construct an overall function servers as fitness value each individual. Meanwhile, in order to accelerate convergent speed our algorithm enhance its searching ability, local search operator introduced....
Grit, as an important positive psychological quality, has rarely been studied for its role involved in the mechanism between stress and security. This article explores moderating mediating of grit relationship interpersonal security freshmen through two studies. In study 1, from several Chinese universities (N = 1,224) were recruited to complete a battery questionnaire, including assessments about stress, grit, The effect analysis showed that moderated Specifically, buffered negative effects...
High energy consumption of data centers hasbecome a great obstacle to the development cloud computing.This paper mainly focuses on how improve theenergy efficiency servers in center by appropriatetask scheduling strategies. Based MapReduce, Google’smassive processing framework, new energy-efficienttask model is proposed this paper. To solvethis model, we put forward an effective genetic algorithmwith practical encoding and decoding methods speciallydesigned operators. Meanwhile, with view...
Cloud computing is a scale-based platform, provides several kinds flexible resources such as storage, databases and power, requires more virtual machines(VMs) consumes lots of electricity resource, which suitable to execute workflow applications. However, with the increasing scale data centers, energy consumption problem has become one major concerns in clouds. To address issue optimization, heuristic approach named deadline constrained energy-aware scheduling algorithm(EAS) for application...
To assure high software quality for large-scale industrial systems, traditional approaches of assurance, such as testing and performance engineering, have been widely used within Alibaba, the world's largest retailer, one Internet companies in world. However, there still exists a demand assessment to achieve sustainability business growth engineering culture Alibaba. address this issue, we develop an solution by following GQM paradigm setting. Moreover, integrate multiple methods into our...
With large-scale data centers widely deployed around the world, their huge energy consumption becomes a primary concern. Effective resource allocation and scheduling is one of key to solve this problem. However, existing studies on topic are relatively rare. In paper, new deadline-aware energy-consumption optimization model designed, which optimizes both idle execution servers. To save consumption, we propose virtual machine deployment algorithm for mapping machines constrained packing...
How to reduce energy consumption under the restraints of satisfying customer service level by effective resource allocation and scheduling has become a key issue in cloud computing. In this paper, we propose new resources-allocation architecture for optimization. Based on architecture, optimization model is designed meet real-time Service Level Agreement (SLA). The proposed optimizes both system component level. On level, virtual machine deployment algorithm based grouping genetic minimize...
Aiming at increased opportunities for resource failure caused by increasing function in hybrid cloud, the task stability model was constructed according to feature of failure. In order simultaneously ensure and private cloud utilization, two layers scheduling mode proposed base on failure-aware. It included a scheduler. Finally, using real traces workload traces, we evaluate provision policy demonstrate their performance, Resource utilization violation rate. Experimental results show that...
In order to analyze the requirement of customer, we proposed a two-stage analysis method: in first stage, data point is clustered several communities by affinity propagation algorithm, and second calculating priority central community. According priority, sort select top as potential WLAN hot point. We evaluate our method based on customer Gansu mobile, result shows effective.