Published in Journal of Network and Systems Management
Network softwarization has recently been enabled via the software-defined networking (SDN) paradigm, which separates the data plane from control plane allowing for a flexible and centralized control of networks. This separation facilitates implementation of machine learning techniques for network management and optimization. In this work, a machine...
Published in Journal of Network and Systems Management
Ultra Dense Networks with flexible heterogeneous technologies (HetUDN) for the Radio Access Network (RAN) are prospective candidate architectures that promise to bring the required network flexibility and to support the transition to 5G networks. In the same time, Multi-access Edge Computing (MEC) is a recent paradigm shift that pushes the main foc...
Published in Journal of Network and Systems Management
Failures are unavoidable in communication networks, so their detection and identification are vital for the reliable operation of the networks. The existing fault diagnosis techniques are based on many paradigms derived from different areas (e.g., mathematical theories, machine learning, statistical analysis) and with different purposes, such as, o...
Published in Journal of Network and Systems Management
Cloud computing involves a large number of shared virtual servers that are accessible from both public and private networks. It has provided scalable and multitenant computing approaches for Infrastructure as a Service, Software as a Service, and Platform as a Service to cloud users on pay-per-use bases. Over the past decades, researchers from diff...
Published in Journal of Network and Systems Management
Recent years have seen fog and edge computing emerge as new paradigms to provide more responsive software services. While both these concepts have numerous advantages in terms of efficiency and user experience by moving computational tasks closer to where they are needed, effective service scheduling requires a different approach in the geographica...
Published in Journal of Network and Systems Management
In this paper we provide an abstract view of the long-term evolution vehicular ad-hoc network (LTE-V) and propose analytical models to obtain its reliability and survivability metrics. Various stochastic modeling techniques (such as semi-Markov process, reliability block diagrams, and Markov chains) are used to develop these models. Reliability of ...
Published in Journal of Network and Systems Management
The detection and identification of Distributed Denial-of-Service (DDoS) attacks remains a challenge in cloud/edge/fog computing environments. It usually requires network middleboxes, such as deep packet inspectors (DPI), for detection task mostly. But clouds and fogs have native powerful telemetry systems that are not yet fully exploited for DDoS ...
Published in Journal of Network and Systems Management
The integration of cloud computing with Software Defined Networking (SDN) addresses several challenges of a typical cloud infrastructure such as complex inter-networking, data collection, fast response, etc. Though SDN-based cloud opens new opportunities, the SDN controller may itself become vulnerable to several attacks. The unique features of SDN...
Published in Journal of Network and Systems Management
One key component for efficient opportunistic device-to-device (D2D) deployment is cache management. It determines which content to store opportunistic D2D communications. Existing solutions focus on the nature of content or mobility attributes, but most of them neglect their joint influence. Moreover, most solutions rely on a preloading phase, fil...
Published in Journal of Network and Systems Management
Software Defined Networking simplifies design, monitoring and management of next generation networks by segregating a legacy network into a centralized control plane and a remotely programmable data plane. The intelligent centralized SDN control plane controls behavior of forwarding devices in processing the incoming packets and provides a bird-eye...
