Enhancing M2M Communication with Cloud-Based Context Management

Chihani, Bachir; Bertin, Emmanuel; Crespi, Noël

doi:10.1109/ngmast.2012.17

Cited by 10 publications

(4 citation statements)

References 11 publications

(12 reference statements)

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“…A next step in our research will be to design a simulation model based on the M2M service context, in order to evaluate model performance. We plan to utilize one of the existing M2M context management platforms (e.g., [6]) in the standard M2M architecture [1], and compare the performance of our approach with the related work [15,18].…”

Section: Resultsmentioning

confidence: 99%

Online Charging Based on Machine Context for M2M Communication in LTE

Marić

Grgic

Matijašević

et al. 2015

Lecture Notes in Computer Science

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Abstract. Efficient management of scarce access network resources for growing volume of Machine-to-Machine (M2M) communications play an important role in a Long Term Evolution (LTE) network. Understanding the communication requirements of machine-to-machine (M2M) services, and linking them to technical, as well as economic aspects, is a crucial step towards "smarter" charging of such services. We discuss the capabilities of M2M services to postpone their communication in LTE's core network, called the Evolved Packet Core (EPC), to avoid times when usage of network resources would be expensive (e.g., while the network is congested). We introduce a context of a group of machines, which describes the postponement capabilities of M2M communication, which is used as an input to the online charging process. We illustrate the proposed approach and its benefits using a smart home M2M service as an example.

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Section: Resultsmentioning

confidence: 99%

Online Charging Based on Machine Context for M2M Communication in LTE

Marić

Grgic

Matijašević

et al. 2015

Lecture Notes in Computer Science

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“…This section sums up findings from current research and discusses problems and future perspectives for MEC studies. According to Chihani et al [15], contextual information is used to characterize the conditions of entities (end-users and systems) and their responses. Apps require such data to make adjustments in their processing approach as a response to make change in the context of the end-users.…”

Section: Review Of the Literaturementioning

confidence: 99%

Sixth-Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High-Performance Computing Implementation

Gundu¹,

Charanarur

Chandelkar

et al. 2022

Wireless Communications and Mobile Computing

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The exchange of information from one person to another is called communication. Telecommunication makes it possible with electronic devices and their tools. The scientist Alexander Graham Bell has invented the basic telephone in 1876 in the USA. Telephones now have the new format in the form of mobile phones, which are the primary media for communicating and transmitting data. We are using 5th-generation mobile network standards. Still, there are some requirements for the users that are believed to be solved in the 6th-generation mobile network standards. By 2030, all of the people would be using 6G. The computing model in the cloud is not dependent on either the location or any specific device that would provide the service. It is an on-demand computational service-oriented mechanism. Combining these two technologies as mobile cloud computing provides customized options with more flexible implementations. Artificial intelligence is being used in devices in many fields. AI can be used in mobile network services (MNS) to provide more reliable and customized services to the users, such as network operation monitoring, network operation management, fraud detection, and reduction in mobile transactions and security to the cyber devices. Combining cloud with AI in mobile network services in the 6th generation would improve human beings’ lives, such as zero road accidents, advanced level special health care, and zero crime rates in society. However, the most vital needs for sixth-generation standards are the capability to manage large volumes of records and excessive-statistics-fee connectivity in step with gadgets. The sixth-generation mobile network is under development. This generation has many exciting features. Security is the central issue that needs to be sorted out using appropriate forensic mechanisms. There is a need to approach high-performance computing for improved services to the end-user. Considering three-dimensional research methodologies (technical dimension, organizational dimension, and applications hosted on the cloud) in a high-performance computing environment leads to two different cases such as real-time stream processing and remote desktop connection and performance test. By ‘narrowing the targeted worldwide audience with a wide range of experiential opportunities,’ this paper is aimed at delivering dynamic and varied resource allocation for reliable and justified on-demand services.

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“…This approach is monolithic using a single server to handle all user requests. In [20], authors propose a context management platform in cloud environments. This platform is based on concept of reasoning as service (RaaS) that allows offering context processing functionalities as service.…”

Section: Related Workmentioning

confidence: 99%

A New Business Model and Architecture for Context-Aware Applications Provisioning in the Cloud

Kara

Barachi

Bardai³

et al. 2014

2014 6th International Conference on New Technologies, Mobility and Security (NTMS)

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Context-aware applications are seen as one of the "killer" application categories of the future, due to their ability to offer personalized services by adapting their behavior according to the users' needs and changing situation. Context-aware applications rely in their operation on a complex set of functionalities (i.e. context-awareness substrates). In order to facilitate the development of novel context-aware applications and achieve efficiency in terms of resource utilization, there is a need for a unified, openly-accessible, scalable context management platform that enables the dynamic discovery, composition, and reuse of context-awareness substrates by various context-aware applications. The lack of such platform is a major impediment to the fast and resource efficient development of context aware applications. In this paper, we propose a novel virtualized context management platform in the cloud, in which a shared pool of virtualized context-awareness substrates can be offered by different providers, and leased on demand. Those substrates can be dynamically discovered and composed to enable fast and cost-effective development of a variety of context-aware applications. The proposed platform relies on a new business model which introduces the sensors substrate provider and the broker as new roles in the traditional cloud business model. A detailed software architecture and preliminary prototype implementation are also presented.I.

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Enhancing M2M Communication with Cloud-Based Context Management

Cited by 10 publications

References 11 publications

Online Charging Based on Machine Context for M2M Communication in LTE

Online Charging Based on Machine Context for M2M Communication in LTE

Sixth-Generation (6G) Mobile Cloud Security and Privacy Risks for AI System Using High-Performance Computing Implementation

A New Business Model and Architecture for Context-Aware Applications Provisioning in the Cloud

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