The challenge addressed in this paper is how can we specify the global behaviour of distributed reactive systems in a way which eases the comprehension of the system without compromising its specification39;s correc...
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The challenge addressed in this paper is how can we specify the global behaviour of distributed reactive systems in a way which eases the comprehension of the system without compromising its specification's correctness, completeness, modularity and readability. Instead of defining the global behaviour models in a monolithic way, we approach the problem by decomposing the specification into interface functionality and core functionality. The resulting interface-modular method for system specification is presented and discussed in this paper using a TaxiCentral as case study. The novelty of this method lies in the clear separation of interfaces from core functionality in global specification, and the use of activity diagrams in combination with collaborations to express and compose the specifications.
With the rapid growth of mobile networks, the radio access network becomes more and more costly to deploy, operate, maintain and upgrade. The most effective answer to this problem lies in the centralization and virtua...
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With the rapid growth of mobile networks, the radio access network becomes more and more costly to deploy, operate, maintain and upgrade. The most effective answer to this problem lies in the centralization and virtualization of the eNodeBs. This solution is known as Cloud RAN and is one of the key topics in the development of fifth generation networks. Within this context Open Air Interface is a promising emulation tool that can be used for prototyping innovative scheduling algorithms, making the most of the new architecture. In this work we first describe the emulation environment of OpenAirInterface and its scheduling framework and we use it to implement two MAC schedulers. Moreover we validate the above schedulers and we perform a thorough profiling of Open Air Interface, in terms of both memory occupancy and execution time. Our results show that OpenAirInterface can be effectively used for prototyping scheduling algorithms in emulated LTE networks.
Community networks are IP networks constantly being improved that evolve into large-scale computing platforms. This has resulted from the effort to adapt the cloud computing model towards services that can operate and...
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Community networks are IP networks constantly being improved that evolve into large-scale computing platforms. This has resulted from the effort to adapt the cloud computing model towards services that can operate and utilize the resources inside the community network. The network and its infrastructure are contributed by individuals, companies, organizations and are maintained by the community itself. Community cloud devices are often low computing resource devices, such as home gateways, with limited capabilities. Currently, these devices are configured to run community services only. This has become a drawback for further adoption because of contributor's difficulty to also use the donated cloud device for private purposes. We apply container-based virtualization for the problem of resource sharing in low-capacity devices in order to create a multi-purpose execution environment in a single device. Thus, a single device can be configured to deliver to the user and the community a multi-purpose environment, such as personal and public, isolated from one another, while preserving the community cloud services. Our comparative analysis with the current infrastructure in community networks gives evidence that the capability of the devices to run concurrent services is maintained.
Two of the most important drivers of current telecommunication markets are the development of Rich Communication Services (RCS) and cloud computing. The challenges of delivering these new services on a cloud-based arc...
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Two of the most important drivers of current telecommunication markets are the development of Rich Communication Services (RCS) and cloud computing. The challenges of delivering these new services on a cloud-based architecture are not only on the technical side, they also concern the definition of feasible business models for all the involved agents and the definition and negotiation of proper service level agreements at different levels. This work proposes to provide telecommunication operators with cloud-based infrastructures capable of offering customers innovative and reliable rich communication services based on their phone numbers that cannot be replicated by the internet competitors in terms of flexibility, scalability or security. This Obliquity as a Service model (MaaS) allows telecommunication providers to maintain relevance for their clients offering not only the common communication services (instant messaging, group communication and chat, file sharing or enriched calls services) but also a new kind of mobiquiotus services related to mobile marketing, smart places, internet of Things or health care, exploiting all the competitive advantages associated to the development of a vertical cloud in a dynamic and heterogeneous ecosystem. In addition, the infrastructure layer needed to support the new proposed model is defined and a first prototype is deployed and evaluated with two real use cases.
Recent technology advances in wireless mobile communications, sensor networks, machine-to-machine communications, and Cloud computing enable a Cloud-centric internet of Things (IoT) paradigm which may have a significa...
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ISBN:
(纸本)9781467381048
Recent technology advances in wireless mobile communications, sensor networks, machine-to-machine communications, and Cloud computing enable a Cloud-centric internet of Things (IoT) paradigm which may have a significant impact on development, deployment, and utilization of IoT applications. Device-to-Device (D2D) communication is an emerging technology for improving cellular networks, which play a crucial role in realizing such a new IoT paradigm. Resource allocation is a key technical issue for achieving high-performance data transportation in cellular networks with D2D communications. Game theory has been applied as an effective tool for addressing the problem of resource allocation for D2D communications in cellular networks. Our previous work [1] proposed a resource allocation scheme for intercell D2D communication, which introduced location-awareness in D2D resource allocation. In this paper, we extend our previous work by particularly analyzing the situations where the game model for D2D resource allocation does not have a Nash Equilibrium within the resource constraints given by the studied system. We model the resource allocation for such situations as a cooperative game between the base stations of two cells where a pair of D2D users are located, and develop an algorithm for determining the bandwidth allocation at each station for maximizing the total utility of both stations. Such an algorithm, with integrated with the resource allocation protocol developed in [1], enables a context-aware D2D resource allocation in cellular networks that choose different strategies for different system situations.
Owing to the factors of cost and time limit, the number of samples is usually small in the early stages of manufacturing systems. When the number of available data is small, traditional statistic techniques have diffi...
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ISBN:
(纸本)9781467396431
Owing to the factors of cost and time limit, the number of samples is usually small in the early stages of manufacturing systems. When the number of available data is small, traditional statistic techniques have difficulty to obtain robust analyses. Therefore, based on a uni-modality distribution assumption, many researchers have proposed virtual sample generation methods to expand the training sample size to enhance the performance of small data set learning. In practice, small data may be following a multi-modality distribution. Therefore, in order to solve multi-modal small data sets, this study proposes a new approach to create multi-modality Weibull virtual samples, where we use the maximal p-value to estimate parameters of the Weibull distribution. In addition, the soft DBSCAN method is used to identify a suitable number of modalities. One data set is employed to check the performance of the proposed method, and comparisons are made by the prediction on root mean square error. The results using a paired t-test show that the proposed method has a superior prediction performance than that of the mega-trend-diffusion method using a uni-modality triangular membership function.
Raw sensed data lacks semantics. This poses a challenge to apply analytics directly to raw IoT sensor data. Such operational data requires an intensive enrichment processes to drive value. Pragmatic use of naming conv...
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Raw sensed data lacks semantics. This poses a challenge to apply analytics directly to raw IoT sensor data. Such operational data requires an intensive enrichment processes to drive value. Pragmatic use of naming conventions and taxonomies can increase the quality of data and make it more interpretable. In this paper, we incorporate semantic and linked data technologies and offer a middleware called Gatica, to dynamically inject semantics to make the raw streaming data of an IoT gateway "Rich" on the device layer. Gatica collects the real-time sensor data, enriches them using annotations then transforms and exposes them in rdF triples, and finally streams rdF objects to the analytic endpoint for querying the linked sensor streaming data. Various analytic applications can utilize our middleware by sending SPARQL requests over the sensor network to our query interface and retrieving the results. Our middleware offers the ability to discover hidden patterns of mutually correlated variables and uncover actionable information within raw data for more utility. This paper details Gatica's architecture together with its implementation.
The solution of multidomain/multiphysics problems is a computationally and memory demanding process, especially for large-scale differential equations. In this paper, we propose a cloud application that provides users...
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The solution of multidomain/multiphysics problems is a computationally and memory demanding process, especially for large-scale differential equations. In this paper, we propose a cloud application that provides users a solution environment for multiphysics/multidomain problems utilizing cloud technologies that manage pre-existing hardware, network, operating system and applications. Particularly, according to the problem and its computational demands, the user can have the results from any place and any device without any other concern. The user sets the problem's parameters, chooses the solution method that fits better to the specific problem and finally gets the problem solution. The application dynamically allocates the minimum possible resources automatically in the background without the user's interference.
With the fast development of today39;s scientific technologies,and especially that of the network information technology,the internet is being applied in an increasingly wider range in people39;s economic life,and...
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With the fast development of today's scientific technologies,and especially that of the network information technology,the internet is being applied in an increasingly wider range in people's economic life,and the appearance of the network financial management proposes a higher and more serious challenge for the traditional financial management *** the application of the scientific network management format,the dynamic and real-time financial management information that can be provided by the financial management format in the era of the network economy is what the tradition financial management cannot be compared to.
As cloud markets get mature, CSPs (Cloud Service Providers) will strive to maintain their market shares by ensuring high customer satisfaction which is severely affected by each SLA (Service level agreement) breach. A...
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As cloud markets get mature, CSPs (Cloud Service Providers) will strive to maintain their market shares by ensuring high customer satisfaction which is severely affected by each SLA (Service level agreement) breach. A CSP has to compromise between long-term (maintaining quality of service and SLAs) and short-term (decreasing the rejection of incoming jobs) profitability. In this paper we propose an admission control mechanism for cloud networks that increases the long-term profits without affecting the CSP's short-term targets and its profits enhancements ranges between 80% and 400%.
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