With the continuous development of network func-tions virtualization(NFV)and software-defined networking(SDN)technologies and the explosive growth of network traffic,the requirement for computing resources in the netw...With the continuous development of network func-tions virtualization(NFV)and software-defined networking(SDN)technologies and the explosive growth of network traffic,the requirement for computing resources in the network has risen sharply.Due to the high cost of edge computing resources,coordinating the cloud and edge computing resources to improve the utilization efficiency of edge computing resources is still a considerable challenge.In this paper,we focus on optimiz-ing the placement of network services in cloud-edge environ-ments to maximize the efficiency.It is first proved that,in cloud-edge environments,placing one service function chain(SFC)integrally in the cloud or at the edge can improve the utilization efficiency of edge resources.Then a virtual network function(VNF)performance-resource(P-R)function is proposed to repre-sent the relationship between the VNF instance computing per-formance and the allocated computing resource.To select the SFCs that are most suitable to deploy at the edge,a VNF place-ment and resource allocation model is built to configure each VNF with its particular P-R function.Moreover,a heuristic recur-sive algorithm is designed called the recursive algorithm for max edge throughput(RMET)to solve the model.Through simula-tions on two scenarios,it is verified that RMET can improve the utilization efficiency of edge computing resources.展开更多
Aim of the study is to evaluate the environmental impact of geothermic activities by the use of in site spectral analyses of different environmental com- ponents.These activities can cause the heavy metal （Hg,Sb,S,B,...Aim of the study is to evaluate the environmental impact of geothermic activities by the use of in site spectral analyses of different environmental com- ponents.These activities can cause the heavy metal （Hg,Sb,S,B,As,H<sub>2</sub>S）drifting from power plants to around areas.Different analytical techniques展开更多
Metaverse is a virtual environment where users are represented by their avatars to navigate a virtual world having strong links with its physical counterpart.The state-of-the-art Metaverse architectures rely on a clou...Metaverse is a virtual environment where users are represented by their avatars to navigate a virtual world having strong links with its physical counterpart.The state-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation.The current centralized architecture of such systems is unfavorable as it suffers from several drawbacks caused by the long latency of cloud access,such as low-quality visualization.To this end,we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing paradigm.Metaverse applications leverage edge devices’computing power to perform the required computations for heavy tasks,such as collision detection in the virtual universe and high-computational 3D physics in virtual simulations.The computational costs of a Metaverse entity,such as collision detection or physics emulation,are performed at the device of the associated physical entity.To validate the effectiveness of the proposed architecture,we simulate a distributed social Metaverse application.The simulation results show that the proposed architecture can reduce the latency by 50%when compared with cloud-based Metaverse applications.展开更多
Individuals tend to move freely when there is enough room but would act collectively for their survival under external stress.In the case of living cells,for instance,when a drop of low-density flagellated bacterial s...Individuals tend to move freely when there is enough room but would act collectively for their survival under external stress.In the case of living cells,for instance,when a drop of low-density flagellated bacterial solution is transferred onto the agar surface,the initially disordered movement of individual bacteria would be replaced with coordinated cell swarming after a lag phase of a few hours.Here,we study how such cooperation is established while overcoming the disorder at the onset of the lag phase with single nanoparticle tracking.Upon the spreading of the droplet,the bacteria in the solution cluster and align near the almost immobilized contact line confining the drop,forming a narrow ring of cells.As individual cells move in and out of the ring continuously,certain flow patterns emerge in the inter-bacterial fluid.We reveal high-speed long-distance unidirectional flows with definite chirality along the outside of the ring,along the inside of the ring and across the ring.We speculate that these flows enable the fast and efficient transport,facilitating the communication and unification of the bacterial community.展开更多
基金This work was supported by the Key Research and Development(R&D)Plan of Heilongjiang Province of China(JD22A001).
文摘With the continuous development of network func-tions virtualization(NFV)and software-defined networking(SDN)technologies and the explosive growth of network traffic,the requirement for computing resources in the network has risen sharply.Due to the high cost of edge computing resources,coordinating the cloud and edge computing resources to improve the utilization efficiency of edge computing resources is still a considerable challenge.In this paper,we focus on optimiz-ing the placement of network services in cloud-edge environ-ments to maximize the efficiency.It is first proved that,in cloud-edge environments,placing one service function chain(SFC)integrally in the cloud or at the edge can improve the utilization efficiency of edge resources.Then a virtual network function(VNF)performance-resource(P-R)function is proposed to repre-sent the relationship between the VNF instance computing per-formance and the allocated computing resource.To select the SFCs that are most suitable to deploy at the edge,a VNF place-ment and resource allocation model is built to configure each VNF with its particular P-R function.Moreover,a heuristic recur-sive algorithm is designed called the recursive algorithm for max edge throughput(RMET)to solve the model.Through simula-tions on two scenarios,it is verified that RMET can improve the utilization efficiency of edge computing resources.
文摘Aim of the study is to evaluate the environmental impact of geothermic activities by the use of in site spectral analyses of different environmental com- ponents.These activities can cause the heavy metal （Hg,Sb,S,B,As,H<sub>2</sub>S）drifting from power plants to around areas.Different analytical techniques
基金supported by the Insight Centre for DataAnalytics funded by Science Foundation Ireland(No.12/RC/2289 P2)in part by the National NaturalScience Foundation of China(No.61872038).
文摘Metaverse is a virtual environment where users are represented by their avatars to navigate a virtual world having strong links with its physical counterpart.The state-of-the-art Metaverse architectures rely on a cloud-based approach for avatar physics emulation and graphics rendering computation.The current centralized architecture of such systems is unfavorable as it suffers from several drawbacks caused by the long latency of cloud access,such as low-quality visualization.To this end,we propose a Fog-Edge hybrid computing architecture for Metaverse applications that leverage an edge-enabled distributed computing paradigm.Metaverse applications leverage edge devices’computing power to perform the required computations for heavy tasks,such as collision detection in the virtual universe and high-computational 3D physics in virtual simulations.The computational costs of a Metaverse entity,such as collision detection or physics emulation,are performed at the device of the associated physical entity.To validate the effectiveness of the proposed architecture,we simulate a distributed social Metaverse application.The simulation results show that the proposed architecture can reduce the latency by 50%when compared with cloud-based Metaverse applications.
基金supported by the National Natural Science Foundation of China(21425519,21621003,91853105 and 22127807).
文摘Individuals tend to move freely when there is enough room but would act collectively for their survival under external stress.In the case of living cells,for instance,when a drop of low-density flagellated bacterial solution is transferred onto the agar surface,the initially disordered movement of individual bacteria would be replaced with coordinated cell swarming after a lag phase of a few hours.Here,we study how such cooperation is established while overcoming the disorder at the onset of the lag phase with single nanoparticle tracking.Upon the spreading of the droplet,the bacteria in the solution cluster and align near the almost immobilized contact line confining the drop,forming a narrow ring of cells.As individual cells move in and out of the ring continuously,certain flow patterns emerge in the inter-bacterial fluid.We reveal high-speed long-distance unidirectional flows with definite chirality along the outside of the ring,along the inside of the ring and across the ring.We speculate that these flows enable the fast and efficient transport,facilitating the communication and unification of the bacterial community.
