Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications...Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications’ computation ability needs. These applications can be presented as meta-job of user’s demand. The total processing time of these jobs may need data transmission time over the Internet as well as the completed time of jobs to execute on the virtual machine must be taken into account. In this paper, we presented V-heuristics scheduling algorithm for allocation of virtualized network and computing resources under user’s constraint which applied into a service-oriented resource broker for jobs scheduling. This scheduling algorithm takes into account both data transmission time and computation time that related to virtualized network and virtual machine. The simulation results are compared with three different types of heuristic algorithms under conventional network or virtual network conditions such as MCT, Min-Min and Max-Min. e evaluate these algorithms within a simulated cloud environment via an abilenenetwork topology which is real physical core network topology. These experimental results show that V-heuristic scheduling algorithm achieved significant performance gain for a variety of applications in terms of load balance, Makespan, average resource utilization and total processing time.展开更多
目的:了解医务工作者职业倦怠与离职意愿的关系及其影响因素,为有效干预提供参考建议。方法:检索中国知网、万方、维普、"Springer Link"、"Elsevier SD"、"EBSCO"、"Web of Science"、"O...目的:了解医务工作者职业倦怠与离职意愿的关系及其影响因素,为有效干预提供参考建议。方法:检索中国知网、万方、维普、"Springer Link"、"Elsevier SD"、"EBSCO"、"Web of Science"、"OvidSP"、"PubMed",Google Scholar等中外文数据库,检索建库以来-2021年3月的研究,进行元分析。结果:纳入了61篇文献,包括63个效果量,涵盖25个省级行政区域,总样本量为47033人。元分析结果发现,医务工作者的职业倦怠与离职意愿呈显著正相关,效果量达到了高相关(r=0.43,P<0.001)。地域和文献发表时间能够显著调节职业倦怠与离职意愿的关系(P<0.05)。结论:医务工作者的职业倦怠与离职意愿联系紧密,地域对二者的关系有调节作用,且两者的关系有随年代变迁加强的趋势。展开更多
文摘Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications’ computation ability needs. These applications can be presented as meta-job of user’s demand. The total processing time of these jobs may need data transmission time over the Internet as well as the completed time of jobs to execute on the virtual machine must be taken into account. In this paper, we presented V-heuristics scheduling algorithm for allocation of virtualized network and computing resources under user’s constraint which applied into a service-oriented resource broker for jobs scheduling. This scheduling algorithm takes into account both data transmission time and computation time that related to virtualized network and virtual machine. The simulation results are compared with three different types of heuristic algorithms under conventional network or virtual network conditions such as MCT, Min-Min and Max-Min. e evaluate these algorithms within a simulated cloud environment via an abilenenetwork topology which is real physical core network topology. These experimental results show that V-heuristic scheduling algorithm achieved significant performance gain for a variety of applications in terms of load balance, Makespan, average resource utilization and total processing time.
