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| 1 | 云计算影响下的图书馆信息服务研究显示文摘云计算是分布式处理、并行处理和网格计算的发展,是一种基于互联网的超级计算模式,其基本原理为多台PC机或服务器连接成'云',终端通过'云计算'的七种服务形式来实现超级存储和超级计算,亚马逊、IBM、微软、谷歌、瑞星、阿里巴巴等已开展了对'云'的研发与服务。'云'具有较高的数据存储能力和安全性,能为图书馆提供一个泛在的能随时更新资源的信息服务平台,降低用户的信息获取成本,提高图书馆信息资源的利用率,延伸图书馆的信息服务。 | 魏志鹏 李慧佳 祖央 | 2010 | 图书馆2010，，2： | 40 |
| 2 | OpenRS-Cloud:A remote sensing image processing platform based on cloud computing environment显示文摘This paper explores the use of cloud computing for remote sensing image processing.The main contribution of our work is to develop a remote sensing image processing platform based on cloud computing technology(OpenRS-Cloud).This paper focuses on enabling methodical investigations into the development pattern,computational model,data management and service model exploring this novel distributed computing model.The experimental INSAR processing flow is implemented to verify the efficiency and feasibility of OpenRS-Cloud platform.The results show that cloud computing is well suited for computationally-intensive and data-intensive remote sensing services. | GUO Wei,GONG JianYa,JIANG WanShou,LIU Yi & SHE Bing State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430074,China | 2010 | Science China(Technological Sciences)2010，53，S1： | 24 |
| 3 | Energy-Efficient Computation Offloading and Resource Allocation in Fog Computing for Internet of Everything显示文摘With the dawning of the Internet of Everything(IoE) era, more and more novel applications are being deployed. However, resource constrained devices cannot fulfill the resource-requirements of these applications. This paper investigates the computation offloading problem of the coexistence and synergy between fog computing and cloud computing in IoE by jointly optimizing the offloading decisions, the allocation of computation resource and transmit power. Specifically, we propose an energy-efficient computation offloading and resource allocation(ECORA) scheme to minimize the system cost. The simulation results verify the proposed scheme can effectively decrease the system cost by up to 50% compared with the existing schemes, especially for the scenario that the computation resource of fog computing is relatively small or the number of devices increases. | Qiuping Li Junhui Zhao Yi Gong Qingmiao Zhang | 2019 | China Communications2019，16，3： | 19 |
| 4 | Energy-efficient Virtual Machine Allocation Technique Using Flower Pollination Algorithm in Cloud Datacenter:A Panacea to Green Computing显示文摘Cloud computing has attracted significant interest due to the increasing service demands from organizations offloading computationally intensive tasks to datacenters.Meanwhile,datacenter infrastructure comprises hardware resources that consume high amount of energy and give out carbon emissions at hazardous levels.In cloud datacenter,Virtual Machines(VMs)need to be allocated on various Physical Machines(PMs)in order to minimize resource wastage and increase energy efficiency.Resource allocation problem is NP-hard.Hence finding an exact solution is complicated especially for large-scale datacenters.In this con text,this paper proposes an Energy-oriented Flower Pollination Algorithm(E-FPA)for VM allocation in cloud datacenter environments.A system framework for the scheme was developed to enable energy-oriented allocation of various VMs on a PM.The allocation uses a strategy called Dynamic Switching Probability(DSP).The framework finds a near optimal solution quickly and balances the exploration of the global search and exploitation of the local search.It considers a processor,storage,and memory constraints of a PM while prioritizing energy-oriented allocation for a set of VMs.Simulations performed on MultiRecCloudSim utilizing planet workload show that the E-FPA outperforms the Genetic Algorithm for Power-Aware(GAPA)by 21.8%,Order of Exchange Migration(OEM)ant colony system by 21.5%,and First Fit Decreasing(FFD)by 24.9%.Therefore,E-FPA significantly improves datacenter performance and thus,enhances environmental sustainability. | Mohammed Joda Usman Abdul Samad Ismail Hassan Chizari Gaddafi Abdul-Salaam Ali Muhammad Usman Abdulsalam Yau Gital Omprakash Kaiwartya Ahmed Aliyu | 2019 | Journal of Bionic Engineering2019，16，2： | 13 |
| 5 | An Effective and Secure Access Control System Scheme in the Cloud显示文摘Cloud computing services have got rapid development in the field of the lightweight terminal, especially wireless communications. The comprehensive access control system framework is proposed for the cloud. A kind of access control scheme based on attribute encryption is designed, in which lightweight devices can safely use cloud computing resources to outsource encrypt/decrypt operations, and not worry for exposing terminal sensitive data.The scheme is verified by performance evaluation about the security, computing, storage, to ensure the legitimate interests of users in the cloud. | NIU Shaozhang TU Shanshan Huang Yongfeng | 2015 | Chinese Journal of Electronics2015，24，3： | 8 |
| 6 | Stream-computing of High Accuracy On-board Real-time Cloud Detection for High Resolution Optical Satellite Imagery显示文摘This paper focuses on the time efficiency for machine vision and intelligent photogrammetry, especially high accuracy on-board real-time cloud detection method. With the development of technology, the data acquisition ability is growing continuously and the volume of raw data is increasing explosively. Meanwhile, because of the higher requirement of data accuracy, the computation load is also becoming heavier. This situation makes time efficiency extremely important. Moreover, the cloud cover rate of optical satellite imagery is up to approximately 50%, which is seriously restricting the applications of on-board intelligent photogrammetry services. To meet the on-board cloud detection requirements and offer valid input data to subsequent processing, this paper presents a stream-computing of high accuracy on-board real-time cloud detection solution which follows the “bottom-up” understanding strategy of machine vision and uses multiple embedded GPU with significant potential to be applied on-board. Without external memory, the data parallel pipeline system based on multiple processing modules of this solution could afford the “stream-in, processing, stream-out” real-time stream computing. In experiments, images of GF-2 satellite are used to validate the accuracy and performance of this approach, and the experimental results show that this solution could not only bring up cloud detection accuracy, but also match the on-board real-time processing requirements. | Mi WANG Zhiqi ZHANG Zhipeng DONG Shuying JIN Hongbo SU | 2019 | Journal of Geodesy and Geoinformation Science2019，2，2： | 7 |
| 7 | Three Tier Fog Networks: Enabling IoT/5G for Latency Sensitive Applications显示文摘Following the progression in Internet of Things(IoT) and 5G communication networks, the traditional cloud computing model have shifted to fog computing. Fog computing provides mobile computing, network control and storage to the network edges to assist latency critical and computation-intensive applications. Moreover, security features are improved in fog paradigm by processing critical data on edge devices instead of data centres outside the control plane of users. However, fog network deployment imposes many challenges including resource allocation, privacy of users, non-availability of programming model and testing software and support for the heterogenous networks. This article highlights these challenges and their potential solutions in detail. This article also discusses threetier fog network architecture, its standardization and benefits in detail. The proposed resource allocation mechanism for three tier fog networks based on swap matching is described. Results show that by practicing the proposed resource allocation mechanism, maximum throughput with reduced latency is achieved. | Romana Shahzadi Ambreen Niaz Mudassar Ali Muhammad Naeem Joel J.P.C.Rodrigues Farhan Qamar Syed Muhammad Anwar | 2019 | China Communications2019，16，3： | 6 |
| 8 | Research on Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing显示文摘This paper analyzes the reasons for the formation of security problems in mobile agent systems, and analyzes and compares the security mechanisms and security technologies of existing mobile agent systems from the perspective of blocking attacks. On this basis, the host protection mobile agent protection technology is selected, and a method to enhance the security protection of mobile agents (referred to as IEOP method) is proposed. The method first encrypts the mobile agent code using the encryption function, and then encapsulates the encrypted mobile agent with the improved EOP protocol IEOP, and then traces the suspicious execution result. Experiments show that using this method can block most malicious attacks on mobile agents, and can protect the integrity and confidentiality of mobile agents, but the increment of mobile agent tour time is not large. | Weijin Jiang Yang Wang Yirong Jiang Jiahui Chen Yuhui Xu Lina Tan | 2019 | China Communications2019，16，7： | 5 |
| 9 | Adaptive Service Provisioning for Mobile Edge Cloud显示文摘A mobile edge cloud provides a platform to accommodate the offloaded traffic workload generated by mobile devices.It can significantly reduce the access delay for mobile application users.However,the high user mobility brings significant challenges to the service provisioning for mobile users,especially to delay-sensitive mobile applications.With the objective to maximize a profit,which positively associates with the overall admitted traffic served by the local edge cloud,and negatively associates with the access delay as well as virtual machine migration delay,we study a fundamental problem in this paper:how to update the service provisioning solution for a given group of mobile users.Such a profit-maximization problem is formulated as a nonlinear integer linear programming and linearized by absolute value manipulation techniques.Then,we propose a framework of heuristic algorithms to solve this Nondeterministic Polynomial(NP)-hard problem.The numerical simulation results demonstrate the efficiency of the devised algorithms.Some useful summaries are concluded via the analysis of evaluation results. | HUANG Huawei GUO Song | 2017 | ZTE Communications2017，15，2： | 5 |
| 10 | A Privacy-Based SLA Violation Detection Model for the Security of Cloud Computing显示文摘A Service Level Agreement(SLA) is a legal contract between any two parties to ensure an adequate Quality of Service(Qo S). Most research on SLAs has concentrated on protecting the user data through encryption. However, these methods can not supervise a cloud service provider(CSP) directly. In order to address this problem, we propose a privacy-based SLA violation detection model for cloud computing based on Markov decision process theory. This model can recognize and regulate CSP's actions based on specific requirements of various users. Additionally, the model could make effective evaluation to the credibility of CSP, and can monitor events that user privacy is violated. Experiments and analysis indicate that the violation detection model can achieve good results in both the algorithm's convergence and prediction effect. | Shengli Zhou Lifa Wu Canghong Jin | 2017 | China Communications2017，14，9： | 4 |
| 11 | RFID原理及标准显示文摘ITS是交通和信息技术融合的产物。近年来,交通和信息技术都发生了很大的变化,信息大集中模式的云计算中心的建设也成为了必然的趋势。在计算机网络技术方面,'云计算'模式的出现,为云计算中心的建设提供了新的思路。本文通过某市智能交通项目实践将两者的最新发展结合,提出'智能交通云'的概念。用之为以后实际工程规划、设计提供全方位的参考。 | 靳超 | 2014 | 无线互联科技2014，11，8： | 4 |
| 12 | Enabling Efficient Batch Updating Verification for Multi-versioned Data in Cloud Storage显示文摘Existing dynamic data possession verification schemes not only suffer from low efficiency of rebalancing its Merkle Hash tree(MHT) when executing data updating, but also lack effective mechanism to verify multi-version files. Aiming at these problems, this paper propose a new data structure called Rank-based multi-version Merkle AVL tree(RBMV-MAT) to achieve efficient batch updating verification for multi-version data.RBMV-MAT uses a special lock and relaxed balance to decrease the frequency of rebalacing operations. The experimental results show that our efficient scheme has better efficiency than those of existing methods. | QI Yining TANG Xin HUANG Yongfeng | 2019 | Chinese Journal of Electronics2019，28，2： | 3 |
| 13 | Edge Computing Based Applications in Vehicular Environments:Comparative Study and Main Issues显示文摘Despite the expanded efforts,the vehicular ad-hoc networks(VANETs)are still facing many challenges such as network performances,network scalability and context-awareness.Many solutions have been proposed to overcome these obstacles,and the edge computing,an extension of the cloud computing,is one of them.With edge computing,communication,storage and computational capabilities are brought closer to end users.This could offer many benefits to the global vehicular network including,for example,lower latency,network off-loading and context-awareness(location,environment factors,etc.).Different approaches of edge computing have been developed:mobile edge computing(MEC),fog computing(FC)and cloudlet are the main ones.After introducing the vehicular environment background,this paper aims to study and compare these different technologies.For that purpose their main features are compared and the state-of-the-art applications in VANETs are analyzed.In addition,MEC,FC,and cloudlet are classified and their suitability level is debated for different types of vehicular applications.Finally,some challenges and future research directions in the fields of edge computing and VANETs are discussed. | Leo Mendiboure Mohamed-Aymen Chalouf Francine Krief | 2019 | Journal of Computer Science & Technology2019，34，4： | 3 |
| 14 | Components and Development in Big Data System: A Survey显示文摘With the growth of distributed computing systems, the modern Big Data analysis platform products often have diversified characteristics. It is hard for users to make decisions when they are in early contact with Big Data platforms. In this paper, we discussed the design principles and research directions of modern Big Data platforms by presenting research in modern Big Data products. We provided a detailed review and comparison of several state-ofthe-art frameworks and concluded into a typical structure with five horizontal and one vertical. According to this structure, this paper presents the components and modern optimization technologies developed for Big Data, which helps to choose the most suitable components and architecture from various Big Data technologies based on requirements. | Jing-Huan Yu Zi-Meng Zhou | 2019 | Journal of Electronic Science and Technology2019，17，1： | 3 |
| 15 | Public cloud computing for seismological research:Calculating large-scale noise cross-correlations using ALIYUN显示文摘The amount of seismological data is rapidly increasing with accumulating observational time and increasing number of stations, requiring modern technique to provide adequate computing power. In present study, we proposed a framework to calculate large-scale noise crosscorrelation functions(NCFs) using public cloud service from ALIYUN. The entire computation is factorized into small pieces which are performed parallelly on specified number of virtual servers provided by the cloud. Using data from most seismic stations in China, five NCF databases are built. The results show that, comparing to the time cost using a single server, the entire time can be reduced over two orders of magnitude depending number of evoked virtual servers. This could reduce computation time from months to less than 12 hours. Based on obtained massive NCFs, the global body waves are retrieved through array interferometry and agree well with those from earthquakes. This leads to a solution to process massive seismic dataset within an affordable time and is applicable to other large-scale computing in seismological researches. | Weitao Wang Baoshan Wang Xiufen Zheng | 2018 | Earthquake Science2018，31，5： | 3 |
| 16 | Scheme on Cross-Domain Identity Authentication Based on Group Signature for Cloud Computing显示文摘In the cloud computing, different cloud service providers are often in different trust domains. As the traditional identity authentication mode cannot be applied to the cloud computing, the cross-domain identity authentication mechanism is needed to solve the identity authentication problem in the cloud computing. In view of the security problems in cloud computing, a cross-domain identity authentication scheme based on group signature is proposed. This scheme introduces a group of cloud service providers and users who are located in different trust domains. Any member of the group can generate the signature on behalf of the whole group, making the user access the cloud service provider in the case of privacy security. At the same time, with traceability it can track illegal operation of illegal users. In addition, the scheme uses the Chinese Remainder Theorem to integrate the message, and it can control the length of the data in the calculation process, simplifying the calculation process. It also realizes the join and revocation of group members without changing the key of other legitimate group members, and the maintenance cost of authentication schemes is low. The results show that the scheme has the advantages of anonymity, anti-counterfeit, traceability, anti-joint attack and so on. It can not only realize tracking function under the condition of guaranteeing user's privacy, but can also simplify the authentication calculation process to improve the efficiency of the cross domain identity authentication, and its performance is more suitable for large-scale cloud computing environment. | YANG Yanyan HU Mingsheng KONG Shan GONG Bei LIU Xinxin | 2019 | Wuhan University Journal of Natural Sciences2019，24，2： | 3 |
| 17 | On Cost Aware Cloudlet Placement for Mobile Edge Computing显示文摘As accessing computing resources from the remote cloud inherently incurs high end-to-end(E2E)delay for mobile users,cloudlets,which are deployed at the edge of a network,can potentially mitigate this problem.Although some research works focus on allocating workloads among cloudlets,the cloudlet placement aiming to minimize the deployment cost(i.e.,consisting of both the cloudlet cost and average E2E delay cost)has not been addressed effectively so far.The locations and number of cloudlets have a crucial impact on both the cloudlet cost in the network and average E2E delay of users.Therefore,in this paper,we propose the Cost Aware cloudlet PlAcement in moBiLe Edge computing(CAPABLE)strategy,where both the cloudlet cost and average E2E delay are considered in the cloudlet placement.To solve this problem,a Lagrangian heuristic algorithm is developed to achieve the suboptimal solution.After cloudlets are placed in the network,we also design a workload allocation scheme to minimize the E2E delay between users and their cloudlets by considering the user mobility.The performance of CAPABLE has been validated by extensive simulations. | Qiang Fan Nirwan Ansari | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，4： | 3 |
| 18 | Recent Near-surface Temperature Trends in the Antarctic Peninsula from Observed,Reanalysis and Regional Climate Model Data显示文摘This study investigates the recent near-surface temperature trends over the Antarctic Peninsula.We make use of available surface observations,ECMWF’s ERA5 and its predecessor ERA-Interim,as well as numerical simulations,allowing us to contrast different data sources.We use hindcast simulations performed with Polar-WRF over the Antarctic Peninsula on a nested domain configuration at 45 km(PWRF-45)and 15 km(PWRF-15)spatial resolutions for the period 1991?2015.In addition,we include hindcast simulations of KNMI-RACMO21P obtained from the CORDEX-Antarctica domain(~50 km)for further comparisons.Results show that there is a marked windward warming trend except during summer.This windward warming trend is particularly notable in the autumn season and likely to be associated with the recent deepening of the Amundsen/Bellingshausen Sea low and warm advection towards the Antarctic Peninsula.On the other hand,an overall summer cooling is characterized by the strengthening of the Weddell Sea low as well as an anticyclonic trend over the Amundsen Sea accompanied by northward winds.The persistent cooling trend observed at the Larsen Ice Shelf station is not captured by ERA-Interim,whereas hindcast simulations indicate that there is a clear pattern of windward warming and leeward cooling.Furthermore,larger temporal correlations and lower differences exhibited by PWRF-15 illustrate the existence of the added value in the higher spatial resolution simulation. | Deniz BOZKURT David HBROMWICH Jorge CARRASCO Keith MHINES Juan Carlos MAUREIRA and Roberto RONDANELLI | 2020 | Advances in Atmospheric Sciences2020，37，5： | 3 |
| 19 | Key Technologies and Application of Edge Computing显示文摘Cloud computing faces a series of challenges,such as insufficient bandwidth,unsatisfactory real-time,privacy protection,and energy consumption.To overcome the challenges,edge computing emerges.Edge computing refers to a process where the open platform that converges the core capabilities of networks,computing,storage,and applications provides intelligent services at the network edge near the source of the objects or data to meet the critical requirements for agile connection,real-time services,data optimization,application intelligence,security and privacy protection of industry digitization.Edge computing consists of three elements:edge,computing,and intelligence.Edge computing and the Internet of Things(IoT)mutually create,and edge computing and cloud computing complement each other.In the architecture of edge computing,resources are distributed to the edge nodes,and therefore the storage system is near users while the computation function is near data.In this way,the stress on the backbone network can be lessened.With this architecture,the existing key technologies for computation,networks,and storage will change significantly.ZTE’s edge computing solutions can ensure the service quality of operators and greatly enhance the experience of mobile users. | TU Yaofeng DONG Zhenjiang YANG Hongzhang | 2017 | ZTE Communications2017，15，2： | 3 |
| 20 | Energy-efficient virtual machine consolidation algorithm in cloud data centers显示文摘Cloud data centers consume a multitude of power leading to the problem of high energy consumption. In order to solve this problem, an energy-efficient virtual machine(VM) consolidation algorithm named PVDE(prediction-based VM deployment algorithm for energy efficiency) is presented. The proposed algorithm uses linear weighted method to predict the load of a host and classifies the hosts in the data center, based on the predicted host load, into four classes for the purpose of VMs migration. We also propose four types of VM selection algorithms for the purpose of determining potential VMs to be migrated. We performed extensive performance analysis of the proposed algorithms. Experimental results show that, in contrast to other energy-saving algorithms, the algorithm proposed in this work significantly reduces the energy consumption and maintains low service level agreement(SLA) violations. | 周舟 胡志刚 于俊洋 Jemal Abawajy Morshed Chowdhury | 2017 | Journal of Central South University2017，24，10： | 2 |
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