关键词： Cloud computing   Cloud storage security   Mobile Edge Computing   Multimedia data   ACCESS-CONTROL   MODEL  

摘要： This paper presents a movie recommendation system according to scores that the users provide. In view of the movie evaluation system, the impacts of access control and multimedia security are analyzed, and a secure hybrid cloud storage architecture is presented. Mobile-Edge Computing (MEC) technology is used in the public cloud which guarantees the high efficiency requirements of the transmission of the multimedia content. The processes of the system including registration, user login, role assignment, data encryption and data decryption are also described. At last, the performance of the proposed scheme is analyzed which further shows that the various possible attacks can be mitigated via the proposed system. (C) 2016 Elsevier B.V. All rights reserved.

关键词： IoT   Mobile Cloud Federation   Mobile Edge Computing   Fog Computing   Coalition formation   Game theory   COMPUTING MOTIVATION   RESOURCE-ALLOCATION   COALITIONAL GAMES   TASK ALLOCATION   MANAGEMENT   INTERNET   THINGS  

摘要： In the Internet of Things (IoT) arena, a constant evolution is observed towards the deployment of integrated environments, wherein heterogeneous devices pool their capacities to match wide-ranging user requirements. Solutions for efficient and synergistic cooperation among objects are, therefore, required. This paper suggests a novel paradigm to support dynamic cooperation among private/public local clouds of IoT devices. Differently from device-oriented approaches typical of Mobile Cloud Computing, the proposed paradigm envisages an IoT Cloud Provider (ICP)-oriented cooperation, which allows all devices belonging to the same private/public owner to participate in the federation process. Expected result from dynamic federations among ICPs is a remarkable increase in the amount of service requests being satisfied. Different from the Fog Computing vision, the network edge provides only management support and supervision to the proposed Mobile-IoT-Federation-as-a-Service (MIFaaS), thus reducing the deployment cost of peripheral micro data centers. The paper proposes a coalition formation game to account for the interest of rational cooperative ICPs in their own payoff. A proof-of-concept performance evaluation confirms that obtained coalition structures not only guarantee the satisfaction of the players' requirements according to their utility function, but also these introduce significant benefits for the cooperating ICPs in terms of number of tasks being successfully assigned. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Mobile Network   Network Function Virtualisation   Mobile Communication Technology   Telematics Service   Mobile Edge Computing  

关键词： Internet of Things   Wireless surveillance system   Cloud computing   Mobile edge computing   HEALTH-CARE   VIDEO   SECURITY   SENSOR   THINGS  

摘要： Large-scale video surveillance systems are among the necessities for securing our life these days. The high bandwidth demand and the large storage requirements are the main challenges in such systems. To face these challenges, the system can be deployed as a multi-tier framework that utilizes different technologies. In such a framework, technologies proposed under the umbrella of the Internet of Things (IoT) can play a significant rule in facing the challenges. In video surveillance, the cameras can be considered as "the things" that are streaming videos to a central processing and storage server (the cloud) through the Internet. Wireless technologies can be used to connect wireless cameras to the surveillance system more conveniently than wired cameras. Unfortunately, wireless communication in general tend to have limited bandwidth that needs careful management to achieve scalability. In this paper, we design and evaluate a reliable IoT-based wireless video surveillance system that provides an optimal bandwidth distribution and allocation to minimize the overall surveillance video distortion. We evaluate our system using NS-3 simulation. The results show that the proposed framework fully utilizes the available cloud bandwidth budget and achieves high scalability.

关键词： Task scheduling   mobile edge computing   overhead analysis   potential game   optimal strategy   RESOURCE  

摘要： In this paper, an overhead-optimizing multi-device task scheduling strategy for ad-hoc-based mobile edge computing system is proposed. This task scheduling strategy takes the opportunity consumption, time delay, energy consumption, and monetary cost into account, aiming at minimizing the overhead of each mobile device. First, a system model for ad-hoc-based mobile edge computing is presented and the overhead of mobile device is analyzed. Second, the task scheduling problem is formulated as a distributed multi-device task scheduling game. Then, by constructing a potential function, the task scheduling game is proved to be a potential game, which possesses a property of finite improvement and always owns a Nash equilibrium. Next, an overhead-optimizing multi-device task scheduling algorithm is designed and the computational complexity is analyzed. Finally, simulations are conducted to evaluate the effectiveness of the proposed strategy. The results show that the proposed task scheduling strategy can effectively minimize the overhead of the mobile device and successfully complete the tasks.

关键词： Mobility   mobile edge computing   coded caching   probabilistic caching   throughput   stochastic geometry   trade-off  

摘要： Caching on the edge has been recognized as an effective solution to tackle the backhaul constraint of network densification. However, most related works ignored user mobility in wireless networks, which is unreasonable under the background of network densification. For a more flexible and context-aware caching decision, the concept of caching on the edge can be extended to mobile edge computing (MEC) that enables computation and storage resources at mobile edge networks. With MEC servers deployed on base stations, a huge amount of collected radio access network context data can be analyzed and utilized to render a caching scheme adaptive to user's context-aware information. In this regard, a novel mobility-aware coded probabilistic caching scheme is proposed for MEC-enabled small cell networks (SCNs). Different from previous mobility-aware caching schemes, user mobility and distributed storage are incorporated into a conventional probabilistic caching scheme, with the aim of throughput maximization. Based on stochastic geometry theory and a modified mobility model of discrete random jumps, the explicit expression of throughput is derived. Due to the complexity of the expression, two light-weight heuristic algorithms are provided to numerically obtain the optimal solutions. Moreover, a significant trade-off among the gains of mobility diversity, content diversity, and channel selection diversity is discussed, and we further numerically analyze how such a trade-off is influenced by user mobility, content popularity, and backhaul capacity, with some fundamental insights into the application of the proposed scheme in MEC-enabled SCNs. The superiority of our proposed scheme is demonstrated by the comparisons with the classical M most popular caching scheme and the conventional probabilistic caching scheme. Numerical results show that our proposed caching scheme achieves higher throughput than those of the other two, especially when users of intense mobility request contents, of which the popularity profile is not skew

关键词： Mobile edge computing   fog computing   mobile cloud computing   computation offloading   resource management   green computing   TO-DEVICE COMMUNICATION   SERVICE MIGRATION   CELLULAR NETWORKS   MANAGEMENT   RADIO   ARCHITECTURE   CLOUDLETS   PLACEMENT   RESOURCE   MIMO  

摘要： Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized mobile cloud computing toward mobile edge computing (MEC). The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical applications at the resource-limited mobile devices. MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. The promised gains of MEC have motivated extensive efforts in both academia and industry on developing the technology. A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation offloading to network architectures. This paper provides a comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management. We also discuss a set of issues, challenges, and future research directions for MEC research, including MEC system deployment, cache-enabled MEC, mobility management for MEC, green MEC, as well as privacy-aware MEC. Advancements in these directions will facilitate the transformation of MEC from theory to practice. Finally, we introduce recent standardization efforts on MEC as well as some typical MEC application scenarios.

关键词： Cloud   fog   mobile edge computing   ontology   overlay   Petri net   service composition   workflow net   PETRI NETS   SEMANTICS  

摘要： Content delivery through cloud networks has gained popularity due to the cloud's ability to provide on-demand services. However, composite services, such as customized multimedia content, introduce both delays and resource limitations if traditional cloud solutions are used. With recent advances in mobile edge computing, customized media delivery can be achieved through compositions of service specific overlays (SSOs). This paper presents a work flow-net-based mechanism for mobile edge node cooperation in fog-cloud networks to form guaranteed SSOs. The proposed solution uses a mathematical cooperation operator to turn the SSO composition problem expressed as workflow nets into algebraic representations. In turn, the minimal cost cooperative path from the workflow net is determined such that it guarantees the delivery of the requested composite media services to clients. Experimental results show that the composition process can be adequately established and carried out in a timely manner.

关键词： MEC   Multi-Access Edge Computing   Mobile Edge Computing   5G Mobile Communications   Edge Computing   Application Virtualization   Network Function Virtualization   Software Defined Networking   Network Softwarization   DISTRIBUTED MOBILITY MANAGEMENT   RESOURCE-ALLOCATION   SERVICE   OPTIMIZATION   CHALLENGES   DEPLOYMENT   INTERNET   DELIVERY   RADIO  

摘要： Multi-access edge computing (MEC) is an emerging ecosystem, which aims at converging telecommunication and IT services, providing a cloud computing platform at the edge of the radio access network. MEC offers storage and computational resources at the edge, reducing latency for mobile end users and utilizing more efficiently the mobile backhaul and core networks. This paper introduces a survey on MEC and focuses on the fundamental key enabling technologies. It elaborates MEC orchestration considering both individual services and a network of MEC platforms supporting mobility, bringing light into the different orchestration deployment options. In addition, this paper analyzes the MEC reference architecture and main deployment scenarios, which offer multi-tenancy support for application developers, content providers, and third parties. Finally, this paper overviews the current standardization activities and elaborates further on open research challenges.

关键词： Mobile edge computing   fog computing   medical cyber physical system   cost efficiency   BASE STATION ASSOCIATION  

摘要： With the recent development in information and communication technology, more and more smart devices penetrate into people's daily life to promote the life quality. As a growing healthcare trend, medical cyber-physical systems (MCPSs) enable seamless and intelligent interaction between the computational elements and the medical devices. To support MCPSs, cloud resources are usually explored to process the sensing data from medical devices. However, the high quality-of-service of MCPS challenges the unstable and long-delay links between cloud data center and medical devices. To combat this issue, mobile edge cloud computing, or fog computing, which pushes the computation resources onto the network edge (e.g., cellular base stations), emerges as a promising solution. We are thus motivated to integrate fog computation and MCPS to build fog computing supported MCPS (FC-MCPS). In particular, we jointly investigate base station association, task distribution, and virtual machine placement toward cost-efficient FC-MCPS. We first formulate the problem into a mixed-integer non-linear linear program and then linearize it into a mixed integer linear programming (LP). To address the computation complexity, we further propose an LP-based two-phase heuristic algorithm. Extensive experiment results validate the high-cost efficiency of our algorithm by the fact that it produces near optimal solution and significantly outperforms a greedy algorithm.