As the Internet and World Wide Web grow at a fast pace, it is essential that the Web's performance should keep up with increased demand and expectations. Web Caching technology has been widely accepted as one of t...As the Internet and World Wide Web grow at a fast pace, it is essential that the Web's performance should keep up with increased demand and expectations. Web Caching technology has been widely accepted as one of the effective approaches to alleviating Web traffic and increase the Web Quality of Service (QoS). This paper provides an up-to-date survey of the rapidly expanding Web Caching literature. It discusses the state-of-the-art web caching schemes and techniques, with emphasis on the recent developments in Web Caching technology such as the differentiated Web services, heterogeneous caching network structures, and dynamic content caching.展开更多
Emerging mobile edge computing(MEC)is considered a feasible solution for offloading the computation-intensive request tasks generated from mobile wireless equipment(MWE)with limited computational resources and energy....Emerging mobile edge computing(MEC)is considered a feasible solution for offloading the computation-intensive request tasks generated from mobile wireless equipment(MWE)with limited computational resources and energy.Due to the homogeneity of request tasks from one MWE during a longterm time period,it is vital to predeploy the particular service cachings required by the request tasks at the MEC server.In this paper,we model a service caching-assisted MEC framework that takes into account the constraint on the number of service cachings hosted by each edge server and the migration of request tasks from the current edge server to another edge server with service caching required by tasks.Furthermore,we propose a multiagent deep reinforcement learning-based computation offloading and task migrating decision-making scheme(MBOMS)to minimize the long-term average weighted cost.The proposed MBOMS can learn the near-optimal offloading and migrating decision-making policy by centralized training and decentralized execution.Systematic and comprehensive simulation results reveal that our proposed MBOMS can converge well after training and outperforms the other five baseline algorithms.展开更多
Streaming media data have strict delay and loss requirements, which cannot be adequately supported by the current Internet. Proxy caching technology is introduced to alleviate the effect of the bottleneck bandwidth on...Streaming media data have strict delay and loss requirements, which cannot be adequately supported by the current Internet. Proxy caching technology is introduced to alleviate the effect of the bottleneck bandwidth on the transporting quality. A new architecture of multimedia proxy caching is given to solve the problem of the traditional Web caching technology for the multimedia streaming. The mixed media management module and the (resource) management module are added to this architecture, the prefetching and replacement method is studied considering the characteristics of streaming media data, the concept of weighed popularity is given to enhance the (exactness) of the replacement algorithm.展开更多
Due to the explosion of network data traffic and IoT devices,edge servers are overloaded and slow to respond to the massive volume of online requests.A large number of studies have shown that edge caching can solve th...Due to the explosion of network data traffic and IoT devices,edge servers are overloaded and slow to respond to the massive volume of online requests.A large number of studies have shown that edge caching can solve this problem effectively.This paper proposes a distributed edge collaborative caching mechanism for Internet online request services scenario.It solves the problem of large average access delay caused by unbalanced load of edge servers,meets users’differentiated service demands and improves user experience.In particular,the edge cache node selection algorithm is optimized,and a novel edge cache replacement strategy considering the differentiated user requests is proposed.This mechanism can shorten the response time to a large number of user requests.Experimental results show that,compared with the current advanced online edge caching algorithm,the proposed edge collaborative caching strategy in this paper can reduce the average response delay by 9%.It also increases the user utility by 4.5 times in differentiated service scenarios,and significantly reduces the time complexity of the edge caching algorithm.展开更多
接入级P2P(Peer-to-Peer)缓存容量设计回答在接入级ISP(Internet Service Provider)出口部署多大容量缓存的问题,目前还没有最优P2P缓存容量设计方法被提出.本文提出一种权衡存储成本和带宽成本的P2P缓存容量设计方法,以最小化ISP出口...接入级P2P(Peer-to-Peer)缓存容量设计回答在接入级ISP(Internet Service Provider)出口部署多大容量缓存的问题,目前还没有最优P2P缓存容量设计方法被提出.本文提出一种权衡存储成本和带宽成本的P2P缓存容量设计方法,以最小化ISP出口流量总花费为目标,将最优缓存容量设计问题描述为整数规划问题,其目标函数形式为单调阶梯函数,通过理论推导得出最优缓存容量计算公式指导接入级ISP进行缓存容量设计.将本文所提方法与Median和"20-80 Rule"等几种ISP常用的容量设计方法进行性能比较,结果表明,本文所提方法明显优于已有方法,与目前ISP最认可的"20-80 Rule"相比,应用本文所提方法的ISP出口流量总花费最多可降低7.5%.展开更多
在当前Web服务动态组合研究的基础上,提出了一种基于Sub Web Service的混合Web服务组合方法。结合静态与动态服务组合方法,将动态生成的服务组合计划描述保存在缓冲池中,当用户使用该组合服务时,系统将会在缓冲池中搜寻此服务组合,并为...在当前Web服务动态组合研究的基础上,提出了一种基于Sub Web Service的混合Web服务组合方法。结合静态与动态服务组合方法,将动态生成的服务组合计划描述保存在缓冲池中,当用户使用该组合服务时,系统将会在缓冲池中搜寻此服务组合,并为请求调用它。在组合算法中提出了基于Sub Web Service的组合算法,将多输入多输出的Web服务分解为多输入单输出的Sub Web服务执行服务组合。在避免重复动态组合服务的基础上,减轻了Web服务在组合过程中对多输出接口的依赖性,提高了系统服务效率。展开更多
发现服务(discovery service,DS)通过提供一种查询服务,为用户提供物品射频识别(radio frequency identification,RFID)标志与供应链中存储该物品信息的多个信息服务器地址之间的映射服务,以帮助用户获取物品在整个供应链中的信息。但是...发现服务(discovery service,DS)通过提供一种查询服务,为用户提供物品射频识别(radio frequency identification,RFID)标志与供应链中存储该物品信息的多个信息服务器地址之间的映射服务,以帮助用户获取物品在整个供应链中的信息。但是,当前已有的DS设计方案不能满足兼容不同的RFID编码标准、高效的系统性能和强大的抵御拒绝服务(denial of service,Do S)攻击能力等需求。因此,针对已有DS研究的不足,基于结构化对等(peer-to-peer,P2P)网络和PCache主动缓存算法提出一种称为PCache DS的DS设计方案。仿真实验的结果表明,与已有的DS研究相比,PCache DS不仅能够兼容不同的RFID编码标准,而且具有更低的平均查询时延、更强的系统处理性能和抵御Do S攻击能力,能够更好地满足DS的应用需求。展开更多
文摘As the Internet and World Wide Web grow at a fast pace, it is essential that the Web's performance should keep up with increased demand and expectations. Web Caching technology has been widely accepted as one of the effective approaches to alleviating Web traffic and increase the Web Quality of Service (QoS). This paper provides an up-to-date survey of the rapidly expanding Web Caching literature. It discusses the state-of-the-art web caching schemes and techniques, with emphasis on the recent developments in Web Caching technology such as the differentiated Web services, heterogeneous caching network structures, and dynamic content caching.
基金supported by Jilin Provincial Science and Technology Department Natural Science Foundation of China(20210101415JC)Jilin Provincial Science and Technology Department Free exploration research project of China(YDZJ202201ZYTS642).
文摘Emerging mobile edge computing(MEC)is considered a feasible solution for offloading the computation-intensive request tasks generated from mobile wireless equipment(MWE)with limited computational resources and energy.Due to the homogeneity of request tasks from one MWE during a longterm time period,it is vital to predeploy the particular service cachings required by the request tasks at the MEC server.In this paper,we model a service caching-assisted MEC framework that takes into account the constraint on the number of service cachings hosted by each edge server and the migration of request tasks from the current edge server to another edge server with service caching required by tasks.Furthermore,we propose a multiagent deep reinforcement learning-based computation offloading and task migrating decision-making scheme(MBOMS)to minimize the long-term average weighted cost.The proposed MBOMS can learn the near-optimal offloading and migrating decision-making policy by centralized training and decentralized execution.Systematic and comprehensive simulation results reveal that our proposed MBOMS can converge well after training and outperforms the other five baseline algorithms.
文摘Streaming media data have strict delay and loss requirements, which cannot be adequately supported by the current Internet. Proxy caching technology is introduced to alleviate the effect of the bottleneck bandwidth on the transporting quality. A new architecture of multimedia proxy caching is given to solve the problem of the traditional Web caching technology for the multimedia streaming. The mixed media management module and the (resource) management module are added to this architecture, the prefetching and replacement method is studied considering the characteristics of streaming media data, the concept of weighed popularity is given to enhance the (exactness) of the replacement algorithm.
基金This work is supported by the National Natural Science Foundation of China(62072465)the Key-Area Research and Development Program of Guang Dong Province(2019B010107001).
文摘Due to the explosion of network data traffic and IoT devices,edge servers are overloaded and slow to respond to the massive volume of online requests.A large number of studies have shown that edge caching can solve this problem effectively.This paper proposes a distributed edge collaborative caching mechanism for Internet online request services scenario.It solves the problem of large average access delay caused by unbalanced load of edge servers,meets users’differentiated service demands and improves user experience.In particular,the edge cache node selection algorithm is optimized,and a novel edge cache replacement strategy considering the differentiated user requests is proposed.This mechanism can shorten the response time to a large number of user requests.Experimental results show that,compared with the current advanced online edge caching algorithm,the proposed edge collaborative caching strategy in this paper can reduce the average response delay by 9%.It also increases the user utility by 4.5 times in differentiated service scenarios,and significantly reduces the time complexity of the edge caching algorithm.
文摘接入级P2P(Peer-to-Peer)缓存容量设计回答在接入级ISP(Internet Service Provider)出口部署多大容量缓存的问题,目前还没有最优P2P缓存容量设计方法被提出.本文提出一种权衡存储成本和带宽成本的P2P缓存容量设计方法,以最小化ISP出口流量总花费为目标,将最优缓存容量设计问题描述为整数规划问题,其目标函数形式为单调阶梯函数,通过理论推导得出最优缓存容量计算公式指导接入级ISP进行缓存容量设计.将本文所提方法与Median和"20-80 Rule"等几种ISP常用的容量设计方法进行性能比较,结果表明,本文所提方法明显优于已有方法,与目前ISP最认可的"20-80 Rule"相比,应用本文所提方法的ISP出口流量总花费最多可降低7.5%.
文摘在当前Web服务动态组合研究的基础上,提出了一种基于Sub Web Service的混合Web服务组合方法。结合静态与动态服务组合方法,将动态生成的服务组合计划描述保存在缓冲池中,当用户使用该组合服务时,系统将会在缓冲池中搜寻此服务组合,并为请求调用它。在组合算法中提出了基于Sub Web Service的组合算法,将多输入多输出的Web服务分解为多输入单输出的Sub Web服务执行服务组合。在避免重复动态组合服务的基础上,减轻了Web服务在组合过程中对多输出接口的依赖性,提高了系统服务效率。
文摘发现服务(discovery service,DS)通过提供一种查询服务,为用户提供物品射频识别(radio frequency identification,RFID)标志与供应链中存储该物品信息的多个信息服务器地址之间的映射服务,以帮助用户获取物品在整个供应链中的信息。但是,当前已有的DS设计方案不能满足兼容不同的RFID编码标准、高效的系统性能和强大的抵御拒绝服务(denial of service,Do S)攻击能力等需求。因此,针对已有DS研究的不足,基于结构化对等(peer-to-peer,P2P)网络和PCache主动缓存算法提出一种称为PCache DS的DS设计方案。仿真实验的结果表明,与已有的DS研究相比,PCache DS不仅能够兼容不同的RFID编码标准,而且具有更低的平均查询时延、更强的系统处理性能和抵御Do S攻击能力,能够更好地满足DS的应用需求。
