Data Mining Practical Machine Learning Tools and Techniques

It is shown that, particularly for terrestrial cellular telephony, the interference-suppression feature of CDMA (code division multiple access) can result in a many-fold increase in capacity over analog and even over competing digital techniques. A single-cell system, such as a hubbed satellite network, is addressed, and the basic expression for capacity is developed. The corresponding expressions for a multiple-cell system are derived. and the distribution on the number of users supportable per cell is determined. It is concluded that properly augmented and power-controlled multiple-cell CDMA promises a quantum increase in current cellular capacity. >

On the capacity of a cellular CDMA system

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A Break in the Clouds: Towards a Cloud Definition

Machine Learning (ML) has been enjoying an unprecedented surge in applications that solve problems and enable automation in diverse domains. Primarily, this is due to the explosion in the availability of data, significant improvements in ML techniques, and advancement in computing capabilities. Undoubtedly, ML has been applied to various mundane and complex problems arising in network operation and management. There are various surveys on ML for specific areas in networking or for specific network technologies. This survey is original, since it jointly presents the application of diverse ML techniques in various key areas of networking across different network technologies. In this way, readers will benefit from a comprehensive discussion on the different learning paradigms and ML techniques applied to fundamental problems in networking, including traffic prediction, routing and classification, congestion control, resource and fault management, QoS and QoE management, and network security. Furthermore, this survey delineates the limitations, give insights, research challenges and future opportunities to advance ML in networking. Therefore, this is a timely contribution of the implications of ML for networking, that is pushing the barriers of autonomic network operation and management.

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A comprehensive survey on machine learning for networking: evolution, applications and research opportunities

With the growth of data volumes and variety of Internet applications, data centers (DCs) have become an efficient and promising infrastructure for supporting data storage, and providing the platform for the deployment of diversified network services and applications (e.g., video streaming, cloud computing). These applications and services often impose multifarious resource demands (storage, compute power, bandwidth, latency) on the underlying infrastructure. Existing data center architectures lack the flexibility to effectively support these applications, which results in poor support of QoS, deployability, manageability, and defence against security attacks. Data center network virtualization is a promising solution to address these problems. Virtualized data centers are envisioned to provide better management flexibility, lower cost, scalability, better resources utilization, and energy efficiency. In this paper, we present a survey of the current state-of-the-art in data center networks virtualization, and provide a detailed comparison of the surveyed proposals. We discuss the key research challenges for future research and point out some potential directions for tackling the problems related to data center design.

Data Center Network Virtualization: A Survey

Giving users an edge: A flexible Cloud model and its application for multimedia

The IP multimedia subsystem (IMS) defines a generic architecture to support communication services over a Session Initiation Protocol (SIP) infrastructure. In the IMS architecture, application servers host and execute the IMS service logic. These servers can be SIP application servers, open services architecture (OSA) application servers, or a customized applications for mobile networks using enhanced logic (Camel) service environment. Some technologies used in telephony and voice-over-IP (VoIP) application servers are also applicable to IMS application servers, but such servers have some unique requirements that could limit the extent to which these technologies can meet them.

IMS Application Servers: Roles, Requirements, and Implementation Technologies

The success of the Content Delivery Networks (CDN) in the recent years has demonstrated the increased benefits of the deployment of some form of “intelligence” within the network. Cloud computing, on the other hand, has shown the benefits of economies of scale and the use of a generic infrastructure to support a variety of services. Following that trend, we propose to move away from the smart terminal-dumb network dichotomy to a model where some degree of intelligence is put back into the network, specifically at the edge, with the support of Cloud technology. In this paper, we propose the deployment of an Edge Cloud, which integrates a variety of user-side and server-side services. On the user side, surrogate, an application running on top of the Cloud, supports a virtual client. The surrogate hides the underlying network infrastructure from the user, thus allowing for simpler, more easily managed terminals. Network side services supporting delivery of and exploiting content are also deployed on this infrastructure, giving the Internet Service Providers (ISP) many opportunities to become directly involved in content and service delivery.

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Network Edge Intelligence for the Emerging Next-Generation Internet

A rapid increase in wireless communication services has occurred during the last years. Infrastructure-less ad-hoc networks emerge as an interesting option to provide pervasive wireless services, although several challenges must be resolved first. Our paper focuses on issues related to signalling and presence management in mobile wireless ad-hoc networks. We present a framework to use SIP in this kind of networks. The objective of this framework is to allow the users of ad-hoc networks to communicate with each other and exchange instant messages. This framework permits the discovery of participants, the establishment, the publishing and the ending of two-party or multiparty sessions by providing SIP (session initiation protocol) extensions. To cope with the bandwidth limitation problem, it is proposed to unify the network layer routing protocols and the application layer SIP REGISTER methods. Scalability of the framework is improved by introducing a clustering approach that group nodes together into clusters.

Jean-Charles Grégoire

Papers

Giving users an edge: A flexible Cloud model and its application for multimedia

IMS Application Servers: Roles, Requirements, and Implementation Technologies

Network Edge Intelligence for the Emerging Next-Generation Internet

A framework to use SIP in ad-hoc networks

VoIP and NAT/firewalls: issues, traversal techniques, and a real-world solution