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共 173 条记录，以下是131-140 订阅

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Latency-aware routing with bandwidth assignment for Software Defined Networks

Latency-aware routing with bandwidth assignment for Software...

引用

IEEE International Conference on Performance, computing and Communications (IPCCC)

作者： Qiongyu Zhang Liehuang Zhu Meng Shen Mingzhong Wang Fan Li Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology P. R. China Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education P. R. China Faculty of Arts and Business University of the Sunshine Coast Queensland Australia

Reducing the flow latency is of great importance in traffic management, which benefits both service providers and end users. Routing design and flow scheduling are typical ways to improve the flow transmission efficiency. However, existing studies usually consider them separately, due to the complexity of joint consideration. Here, we propose a latency-aware routing scheme with bandwidth assignment in the Software Defined Networks, which can efficiently reduce the flow latency with a moderate complexity, to combine the routing and scheduling together.

关键词： Routing Bandwidth Processor scheduling Complexity theory Bismuth Software Mathematical model

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Self-adaptive anonymous communication scheme under SDN architecture

Self-adaptive anonymous communication scheme under SDN archi...

引用

IEEE International Conference on Performance, computing and Communications (IPCCC)

作者： Tingting Zeng Meng Shen Mingzhong Wang Liehuang Zhu Fan Li Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology P. R. China Key Laboratory of Computer Network and Information Integration (Southeast University) Ministry of Education P. R. China Faculty of Arts and Business University of the Sunshine Coast Queensland Australia

Communication privacy and latency perceived by users have become great concerns for delay-sensitive Internet services. Existing anonymous communication systems either provide high anonymity at an expense of prolonged latency (e.g., mix-net), or offer better real-time performance by sacrificing the ability against traffic analysis attacks (e.g., Onion Routing). The emerging Software-Defined Networking (SDN) introduces additional challenges to communication anonymity, due to the existence of a centralized controller that has a global view of the entire network traffic. In this paper, we propose a new anonymous communication scheme for delay-sensitive services under SDN scenarios, which can simultaneously protect communication privacy and reduce the end-to-end latency. A self-adaptive method based on the mix-net framework is designed to dynamically modify the waiting threshold of mix nodes, which helps to reduce the communication latency. In order to preserve the degree of anonymity, the self-adaptive method is incorporated with a random walking strategy for packets forwarding. Both theoretical analysis and experimental results prove that our scheme provides a moderate degree of anonymity and effectively reduces the latency derived from mix-net by up to 50%.

关键词： Real-time systems Relays Entropy Lead Distance measurement Annealing Probabilistic logic

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Threshold-Based Secure and Privacy-Preserving Message Verification in VANETs

Threshold-Based Secure and Privacy-Preserving Message Verifi...

引用

IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Wei Gao Mingzhong Wang Liehuang Zhu Xiaoping Zhang Language Information Processing and Cloud Computing Application Beijing Institute of Technology National Key Lab of Vehicular Transmission China North Vehicle Research Institute

ISBN: (纸本)9781479965144

Messages spreading inside vehicular ad hoc networks (VANETs) generally need to achieve the property of verifiability and content integrity, while preserving user privacy. Otherwise, VANETs will either fall into chaos, or prevent users from embracing it. To achieve this goal, we propose a protocol, which contains a priori and posteriori countermeasures, to guarantee these features. The a priori process firstly verifies that each message is sent by a vehicle only once. Then it collects and checks whether the count of the message exceeds the threshold value to improve the trustworthiness of the message. The posteriori process verifies the integrity of the message, ensuring it is unchanged during transmission between the vehicle and the road side unit. The privacy is preserved by applying group signature. In case of disruptive events, the proposed solution can trace back to the source vehicle which generates the message.

关键词： Vehicles Privacy Authentication Protocols Public key Servers

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SSD lifespan-oriented cache optimization in SSD/HDD hybrid storage system

SSD lifespan-oriented cache optimization in SSD/HDD hybrid s...

引用

2014 International Conference on Environmental Engineering and Computer application (ICEECA 2014)

作者： X.Wang Q.X.Zhang Y.A.Tan J.Q.Qu Beijing Engineering Research Center of Massive Language Information Processing and Cloud Computing Application School of Computer Science and Technology Beijing Institute of Technology Shanghai Radio Equipment Research Institute

Layered SSD/HDD hybrid storage system has been widely used. However, most traditional designs are performance oriented, and not optimized for SSD lifespan. In this paper, SSD lifespan oriented layered model and cache algorithm are proposed. To decrease SSD wear rate, HDD-RAM switch tunnel is appended to the traditional layered hybrid structure. Cache window size is considered in cache algorithm to filter data, avoiding unnecessary cache cost. Results show optimized designs significantly reduced erase times on SSD, and slightly influenced original performance.

关键词： SSD lifespan-oriented cache optimization in SSD/HDD hybrid storage system HDD RAM cache

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Patent literatures translation system based on hadoop

引用

9th FTRA InternationalConference on Future information Technology, FutureTech 2014

作者： Zhang, Di Huang, Heyan Huang, Yonggang Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Applications Beijing Institute of Technology Beijing 100081 China School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9783642550379

In order to tackle the slow response caused by massive patent literatures, a patent literatures translation system based on Hadoop is proposed in this paper. The paper presents a hybrid storage structure and a parallel translation model for massive patent literatures. The hierarchical storage structure is based on HDFS (Hadoop Distributed File System), which stores the patent documents and HBase where directories of such data are stored. This hybrid structure enables faster retrieval through the distributed file system. In translation, The Hadoop MapReduce framework is utilized. The MapReduce computation model not only can translate the patent literatures in highly parallel, but also can process multiple documents simultaneously. The experimental results show that the proposed machine translation system in this paper has better translation performance than the conventional machine translation approach. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： MapReduce

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Learning automata-based adaptive web services composition

Learning automata-based adaptive web services composition

引用

IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Guoqiang Li Dandan Song Lejian Liao Fuzhen Sun Jianguang Du School of informatics Linyi University Linyi China Language Information Processing & Cloud Computing Applications Beijing Institute of Technology Beijing China Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications School of Computer Science Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479932801

Service-oriented computing is a widely adopted paradigm in real applications. Considering the continuous evolution of services, adaptive service composition has always been a major concern. It is a big challenge to adjust the composition to be optimal in real-time. In this paper, a learning automata-based approach is proposed to attack this problem. It consists of two important components: random environment and a learning automaton. The former can be mapped to the service's execution environment. The latter is responsible for the adaptation achievement using reward and penalty functions, while we take the service composition structures into account to compute the usefulness value of all services. At last, simulation study has shown that our approach is efficient to find the optimal (sub-optimal) composition.

关键词： Learning automata Quality of service Web services Adaptation models Automata Conferences Real-time systems

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Elastic and Efficient Virtual Network Provisioning for cloud-Based Multi-tier applications

Elastic and Efficient Virtual Network Provisioning for Cloud...

引用

International Conference on Parallel processing (ICPP)

作者： Meng Shen Ke Xu Fan Li Kun Yang Liehuang Zhu Lei Guan Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications Beijing Institute of Technology P. R. China Department of Computer Science Tsinghua University P. R. China School of Computer Science & Electronic Engineering University of Essex UK The ISN National Key Lab XiDian University P. R. China School of Management & Economics Beijing Institute of Technology P. R. China

ISBN: (纸本)9781467375887

The multi-tier architecture is prevalently adopted by cloud applications, such as the three-tier web application. It is highly desirable for both tenants and providers to provide virtual networks in an efficient and elastic way, where tenant applications can automatically scale in or out with varying workloads and providers can accommodate as many requests as possible in the underlying network. However, due to potential conflicts between efficiency and elasticity, it is challenging to achieve these two goals simultaneously in abstracting tenant requirements and designing corresponding provisioning algorithms. In this paper, we propose an efficient and elastic virtual network provisioning solution called Easy Alloc, which is comprised of an elasticity-aware abstraction model and a virtual network provisioning algorithm. To accurately capture the tenant requirement and maintain the provisioning simplicity for providers, the elasticity-aware model enables two types of decoupling, i.e., Always-on VMs for normal load and on-demand VMs for dynamic scaling, and the bandwidth requirement of each VM for intra- and inter-tier communications. Then we formulate the virtual network provisioning as an overhead minimization problem, where the objective simultaneously considers the bandwidth and elasticity overhead. Due to the NP-completeness of this problem, we leverage two heuristics, slot reservation and tier iteration, to obtain an efficient algorithm. Extensive simulation results show that compared with a typical elasticity-agnostic method under a heavy load, Easy Alloc enables a 9% increase of request acceptance rate and a 16.8% improvement of the successful extension rate. To the best of our knowledge, this is the first work targeting at the elastic virtual network provisioning.

关键词： Bandwidth Elasticity cloud computing Algorithm design and analysis Load modeling Resource management

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Availability-Aware Virtual Network Embedding for Multi-tier applications in cloud Networks

Availability-Aware Virtual Network Embedding for Multi-tier ...

引用

IEEE International Conference on High Performance computing and Communications (HPCC)

作者： Meng Shen Xu Ke Fuliang Li Fan Li Liehuang Zhu Lei Guan Ministry of Education Key Laboratory of Computer Network and Information Integration (Southeast University) P. R. China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications School of Computer Science Beijing Institute of Technology P. R. China Tsinghua University Beijing Beijing CN College of Information Science and Engineering Northeastern University P. R. China DNSLAB China Internet Network Iniormation Center Beijing P. R. China School of Management & Economics Beijing Institute of Technology P. R. China

ISBN: (纸本)9781479989386

There is a growing trend for service providers (SPs) to migrate their multi-tier applications from local clusters to public cloud networks. In the cloud environment, it is a great concern of SPs to improve the availability of their virtual networks, in addition to guarantees of their virtual resource requirements, such as VMs and bandwidth. However, meeting these requirements results in an inefficient utilization of physical resources, which goes against the operational goal of cloud providers. To address this challenge, in this paper, we propose an availability-aware virtual network embedding framework that simultaneously improves the availability of virtual networks and the resource efficiency. We first propose a new metric to quantify the availability cost of a multi-tier virtual network, and then formulate the embedding problem as a joint optimization of the aggregated bandwidth and availability costs. Due to the NP-hardness of the embedding problem, we devise a heuristic algorithm that can solve the problem in polynomial time. Extensive simulation results show that the proposed algorithm enables CP to achieve various trade-offs between resource efficiency and availability, and to gain more revenue (e.g., 16.1% under a datacenter load of 80%) than the availability-agonistic algorithm.

关键词： Bandwidth cloud computing Topology Network topology Servers Optimization Algorithm design and analysis

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Learning Automata-based Adaptive Web Services Composition

Learning Automata-based Adaptive Web Services Composition

引用

2014 IEEE 5th International Conference on Software Engineering and Service Science

作者： Guoqiang Li Dandan Song Lejian Liao Fuzhen Sun Jianguang Du Beijing Engineering Research Centre of High Volume Language Information Processing & Cloud Computing Applications School of Computer Science Beijing Institute of Technology

Service-oriented computing is a widely adopted paradigm in real *** the continuous evolution of services,adaptive service composition has always been a major *** is a big challenge to adjust the composition to be optimal in *** this paper,a learning automata-based approach is proposed to attack this *** consists of two important components: random environment and a learning *** former can be mapped to the service’s execution *** latter is responsible for the adaptation achievement using reward and penalty functions,while we take the service composition structures into account to compute the usefulness value of all *** last,simulation study has shown that our approach is efficient to find the optimal（sub-optimal） composition.

关键词： web service learning automata self-adaptive web service composition

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Microblog Keyphrase Extraction Based on Similarity Features

Microblog Keyphrase Extraction Based on Similarity Features

引用

2013 International Conference on Advanced Computer Science and Electronics information(ICACSEI 2013)

作者： Lizi Liao Heyan Huang Beijing Engineering Applications Research Center of High Volume Language Information Processing and Cloud Computing (BIT) School of Computer Science and Technology Beijing Institute of Technology

This paper proposes to extract keyphrases from microblog based on similarity features. We analyze a large number of microblogs and find an interesting phenomenon that people use various nugget phrases to express the same factoid while many of these nugget phrases show similarity relationships. We propose a similarity features based context-sensitive topical PageRank method for keyphrase ranking. We evaluate our proposed methods on a large microblog dataset. Experiments show that our system is very effective for keyphrase extraction.

关键词： Keyphrase extraction, Similarity features, Graph- based model

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