The cloud data centres evolved with an issue of energy management due to the constant increase in size,complexity and enormous consumption of energy.Energy management is a challenging issue that is critical in cloud d...The cloud data centres evolved with an issue of energy management due to the constant increase in size,complexity and enormous consumption of energy.Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers.In this paper,we proposed a cuckoo search(CS)-based optimisation technique for the virtual machine(VM)selection and a novel placement algorithm considering the different constraints.The energy consumption model and the simulation model have been implemented for the efficient selection of VM.The proposed model CSOA-VM not only lessens the violations at the service level agreement(SLA)level but also minimises the VM migrations.The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh,SLA violation is 9.2 and VM migration is about 268.Thus,there is an improvement in energy consumption of about 1.8%and a 2.1%improvement(reduction)in violations of SLA in comparison to existing techniques.展开更多
This study investigates the mercury(Hg)isotope geochemistry of pyrite from the Aketashi volcanic hosted massive sulfide(VMS)deposit in the West Kunlun Orogenic Belt,China,aiming to elucidate the sources of ore-forming...This study investigates the mercury(Hg)isotope geochemistry of pyrite from the Aketashi volcanic hosted massive sulfide(VMS)deposit in the West Kunlun Orogenic Belt,China,aiming to elucidate the sources of ore-forming fluids and the behavior of Hg isotopes during mineralization.The Aketashi deposit is located within a Late Paleozoic back-arc basin,which is characterized by extensive Carboniferous magmatism and hydrothermal activity.Analysis of 19 pyrite ore samples revealed Hg isotope composition with δ^(202)Hg values ranging from−2.48‰to 0.87‰ and Δ^(199)Hg values from−0.02‰ to 0.40‰.The negative δ^(202)Hg values are indicative of isotopic fractionation resulting from hydrothermal processes,whereas the positive Δ^(199)Hg values imply a mixed fluid source comprising both magmatic and seawater-derived components.This study highlights the unique advantage of Hg isotopes in tracing multi-source fluid interactions(e.g.,magmatic vs.seawater-derived)in VMS systems,providing a novel methodology for global metallogenic studies.Our findings not only resolve the longstanding debate on fluid origins at Aketashi but also establish a framework for applying Hg isotopes to other VMS deposits worldwide.展开更多
文摘The cloud data centres evolved with an issue of energy management due to the constant increase in size,complexity and enormous consumption of energy.Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers.In this paper,we proposed a cuckoo search(CS)-based optimisation technique for the virtual machine(VM)selection and a novel placement algorithm considering the different constraints.The energy consumption model and the simulation model have been implemented for the efficient selection of VM.The proposed model CSOA-VM not only lessens the violations at the service level agreement(SLA)level but also minimises the VM migrations.The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh,SLA violation is 9.2 and VM migration is about 268.Thus,there is an improvement in energy consumption of about 1.8%and a 2.1%improvement(reduction)in violations of SLA in comparison to existing techniques.
基金Innovative Research Group Project of the National Natural Science Foundation of China(NSFC Nos.U1603245,U1703242,U1812402).
文摘This study investigates the mercury(Hg)isotope geochemistry of pyrite from the Aketashi volcanic hosted massive sulfide(VMS)deposit in the West Kunlun Orogenic Belt,China,aiming to elucidate the sources of ore-forming fluids and the behavior of Hg isotopes during mineralization.The Aketashi deposit is located within a Late Paleozoic back-arc basin,which is characterized by extensive Carboniferous magmatism and hydrothermal activity.Analysis of 19 pyrite ore samples revealed Hg isotope composition with δ^(202)Hg values ranging from−2.48‰to 0.87‰ and Δ^(199)Hg values from−0.02‰ to 0.40‰.The negative δ^(202)Hg values are indicative of isotopic fractionation resulting from hydrothermal processes,whereas the positive Δ^(199)Hg values imply a mixed fluid source comprising both magmatic and seawater-derived components.This study highlights the unique advantage of Hg isotopes in tracing multi-source fluid interactions(e.g.,magmatic vs.seawater-derived)in VMS systems,providing a novel methodology for global metallogenic studies.Our findings not only resolve the longstanding debate on fluid origins at Aketashi but also establish a framework for applying Hg isotopes to other VMS deposits worldwide.
