In order to solve the high latency of traditional cloud computing and the processing capacity limitation of Internet of Things(IoT)users,Multi-access Edge Computing(MEC)migrates computing and storage capabilities from...In order to solve the high latency of traditional cloud computing and the processing capacity limitation of Internet of Things(IoT)users,Multi-access Edge Computing(MEC)migrates computing and storage capabilities from the remote data center to the edge of network,providing users with computation services quickly and directly.In this paper,we investigate the impact of the randomness caused by the movement of the IoT user on decision-making for offloading,where the connection between the IoT user and the MEC servers is uncertain.This uncertainty would be the main obstacle to assign the task accurately.Consequently,if the assigned task cannot match well with the real connection time,a migration(connection time is not enough to process)would be caused.In order to address the impact of this uncertainty,we formulate the offloading decision as an optimization problem considering the transmission,computation and migration.With the help of Stochastic Programming(SP),we use the posteriori recourse to compensate for inaccurate predictions.Meanwhile,in heterogeneous networks,considering multiple candidate MEC servers could be selected simultaneously due to overlapping,we also introduce the Multi-Arm Bandit(MAB)theory for MEC selection.The extensive simulations validate the improvement and effectiveness of the proposed SP-based Multi-arm bandit Method(SMM)for offloading in terms of reward,cost,energy consumption and delay.The results showthat SMMcan achieve about 20%improvement compared with the traditional offloading method that does not consider the randomness,and it also outperforms the existing SP/MAB based method for offloading.展开更多
LP (Logic Programming) has been successfully applied to knowledge discovery in many fields. The execution of the LP is based on the evaluation of the first order predicate. Usually the information involved in the pred...LP (Logic Programming) has been successfully applied to knowledge discovery in many fields. The execution of the LP is based on the evaluation of the first order predicate. Usually the information involved in the predicates are local and homogenous, thus the evaluation process is relatively simple. However, the evaluation process become much more complicated when applied to KDD on the Internet where the information involved in the predicates maybe heterogeneous and distributed over many different sits. Therefor, we try to attack the problem in a multi agent system's framework so that the logic program can be written in a site independent style and deal easily with heterogeneous represented information.展开更多
基于现代会议管理的需求,设计和实现一种C/S和B/S混合部署的会议管理系统。包括会议管理服务中心和若干个会议现场,会议管理服务中心包括数据服务器、应用服务器、Web服务器、通信网关和出口路由器;会议现场包括若干个便携式电脑、RFID(...基于现代会议管理的需求,设计和实现一种C/S和B/S混合部署的会议管理系统。包括会议管理服务中心和若干个会议现场,会议管理服务中心包括数据服务器、应用服务器、Web服务器、通信网关和出口路由器;会议现场包括若干个便携式电脑、RFID(Radio Frequency Identification)读卡器、二维码阅读器、信息显示发布设备、现场WLAN设备及用户终端。使用RIA(Rich Internet Application)技术优化了B/S界面,应用RFID对会议过程中的细节进行监控,借助SAAS(Software as a Service)模式实现会议管理按需配置和快速部署。该系统显著提高了会议管理效率。展开更多
采用先进的Golang网络编程语言,设计和实现了一种新的RUDP(reliable user datagram protocol)传输协议,部署在实际的远距离Internet网络中,对新RUDP协议进行实验验证和性能测试分析。实验结果表明:新RUDP传输协议是可行的,实现了确认、...采用先进的Golang网络编程语言,设计和实现了一种新的RUDP(reliable user datagram protocol)传输协议,部署在实际的远距离Internet网络中,对新RUDP协议进行实验验证和性能测试分析。实验结果表明:新RUDP传输协议是可行的,实现了确认、序列号、重传、拥塞控制、滑动窗口、差错检测等可靠通信机制,保证了传输数据的可靠交付;在相同的实验条件下,新RUDP的丢包率与TCP(transmission control protocol)的相同为0%;新RUDP的端到端时延和时延抖动总体上都比TCP的要小,在一些常见的通信链路中,新RUDP的端到端时延、时延抖动与TCP的之间存在显著性差异,新RUDP的带宽占有率比UDP(user datagram protocol)的显著性低;从实测结果来看,新RUDP比TCP、UDP更适合应用于这类低时延高可靠性的网络新应用。最后,对新RUDP的协议参数进行了部分优化,为这类网络新应用提供性能更好的传输服务质量。展开更多
基金This work was supported in part by the Zhejiang Lab under Grant 20210AB02in part by the Sichuan International Science and Technology Innovation Cooperation/Hong Kong,Macao and Taiwan Science and Technology Innovation Cooperation Project under Grant 2019YFH0163in part by the Key Research and Development Project of Sichuan Provincial Department of Science and Technology under Grant 2018JZ0071.
文摘In order to solve the high latency of traditional cloud computing and the processing capacity limitation of Internet of Things(IoT)users,Multi-access Edge Computing(MEC)migrates computing and storage capabilities from the remote data center to the edge of network,providing users with computation services quickly and directly.In this paper,we investigate the impact of the randomness caused by the movement of the IoT user on decision-making for offloading,where the connection between the IoT user and the MEC servers is uncertain.This uncertainty would be the main obstacle to assign the task accurately.Consequently,if the assigned task cannot match well with the real connection time,a migration(connection time is not enough to process)would be caused.In order to address the impact of this uncertainty,we formulate the offloading decision as an optimization problem considering the transmission,computation and migration.With the help of Stochastic Programming(SP),we use the posteriori recourse to compensate for inaccurate predictions.Meanwhile,in heterogeneous networks,considering multiple candidate MEC servers could be selected simultaneously due to overlapping,we also introduce the Multi-Arm Bandit(MAB)theory for MEC selection.The extensive simulations validate the improvement and effectiveness of the proposed SP-based Multi-arm bandit Method(SMM)for offloading in terms of reward,cost,energy consumption and delay.The results showthat SMMcan achieve about 20%improvement compared with the traditional offloading method that does not consider the randomness,and it also outperforms the existing SP/MAB based method for offloading.
文摘LP (Logic Programming) has been successfully applied to knowledge discovery in many fields. The execution of the LP is based on the evaluation of the first order predicate. Usually the information involved in the predicates are local and homogenous, thus the evaluation process is relatively simple. However, the evaluation process become much more complicated when applied to KDD on the Internet where the information involved in the predicates maybe heterogeneous and distributed over many different sits. Therefor, we try to attack the problem in a multi agent system's framework so that the logic program can be written in a site independent style and deal easily with heterogeneous represented information.
文摘基于现代会议管理的需求,设计和实现一种C/S和B/S混合部署的会议管理系统。包括会议管理服务中心和若干个会议现场,会议管理服务中心包括数据服务器、应用服务器、Web服务器、通信网关和出口路由器;会议现场包括若干个便携式电脑、RFID(Radio Frequency Identification)读卡器、二维码阅读器、信息显示发布设备、现场WLAN设备及用户终端。使用RIA(Rich Internet Application)技术优化了B/S界面,应用RFID对会议过程中的细节进行监控,借助SAAS(Software as a Service)模式实现会议管理按需配置和快速部署。该系统显著提高了会议管理效率。
文摘采用先进的Golang网络编程语言,设计和实现了一种新的RUDP(reliable user datagram protocol)传输协议,部署在实际的远距离Internet网络中,对新RUDP协议进行实验验证和性能测试分析。实验结果表明:新RUDP传输协议是可行的,实现了确认、序列号、重传、拥塞控制、滑动窗口、差错检测等可靠通信机制,保证了传输数据的可靠交付;在相同的实验条件下,新RUDP的丢包率与TCP(transmission control protocol)的相同为0%;新RUDP的端到端时延和时延抖动总体上都比TCP的要小,在一些常见的通信链路中,新RUDP的端到端时延、时延抖动与TCP的之间存在显著性差异,新RUDP的带宽占有率比UDP(user datagram protocol)的显著性低;从实测结果来看,新RUDP比TCP、UDP更适合应用于这类低时延高可靠性的网络新应用。最后,对新RUDP的协议参数进行了部分优化,为这类网络新应用提供性能更好的传输服务质量。
