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Asif Mehmood,Afaq Muhammad,Javier Jose Diaz Rivera,Wang-Cheol Song 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
With the need of multi-access edge computing (MEC) for real-time processing and compatibility between multi-domain edge applications, cellular vehicle-to-everything (C-V2X) is gaining attention. MEC applications responsible to provide information to other applications play a key role in performance. Specifically, the latency involved in the process of provisioning the information of virtual on-board units (vOBU) is crucial for the support of MEC use cases. To overcome this, before exposing the location information of a vehicle at edge, the proposed system applies kalman filter prediction on it. Performance results of the prediction module are shown to be accurate and ahead of time, which acts as a basis to support the idea of exposing vehicle information at the edge to support real-time MEC use cases.
Autoscaling Mechanism based on Execution-times for VNFM in NFV Platforms
Asif Mehmood,Javier Diaz Rivera,Talha Ahmed Khan,송왕철 한국통신학회 2019 KNOM Review Vol.22 No.1
The process to determine the required number of resources depends on the factors being considered. Autoscaling is one such mechanism that uses a wide range of factors to decide and is a critical process in NFV. As the networks are being shifted onto the cloud after the invention of SDN, we require better resource managers in the future. To solve this problem, we propose a solution that allows the VNFMs to autoscale the system resources depending on the factors such as overhead of hyperthreading, number of requests, execution-times for the virtual network functions. It is a known fact that the hyperthreaded virtual-cores are not fully capable of performing like the physical cores. Also, as there are different types of core having different frequencies so the process to calculate the number of cores needs to be measured accurately and precisely. The platform independency is achieved by proposing another solution in the form of a monitoring microservice, which communicates through APIs. Hence, by the use of our autoscaling application and a monitoring microservice, we enhance the resource provisioning process to meet the criteria of future networks.
Distributed SDN Based Network State Aware Architecture for Flying Ad-hoc Network
Muhammad Saqib,Asif Mehmood,Adeel Rafiq,Afaq Muhammad,Wang-Cheol SONG 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
Flying networks are resource constraints while the nature of nodes’ mobility is very dynamic and unpredicted. Therefore, these networks are very prone to link failure and performance degradation. By considering the existing limitations, this work proposes a new approach consists of proactive and reactive network failure mitigation techniques that have been named as a hybrid approach. In the proposed architecture, the SDN controllers are distributed where each one controls its local domain nodes. The controller node continuously monitors the network state information and proactively adjusts the near-future changes to the topology. Each local domain also contains a sink node that directly connects to the controller. The sink node is used to forward the network state information to the controller and keep the controller defined flow rules for local domain nodes. The sink node can also request a new path in case of any link failure or any topology updates cause by nodes’ movement. Besides, a distributed routing protocol also runs on domain nodes to establish connectivity toward the sink node.
IBNSlicing: Intent-Based Network Slicing Framework for 5G Networks using Deep Learning
Khizar Abbas,Muhammad Afaq,Talha Ahmed Khan,Asif Mehmood,Wang-Cheol Song 한국통신학회 2020 한국통신학회 APNOMS Vol.2020 No.09
Network slicing is an important pillar of 5G networks that empowers the network operators to provide the different quality of services (QoS) to the users. It enables network operators to split the physical network into multiple logical networks to meet different QoS requirements. In this research paper, we have designed an intent-based network slicing framework that can slice and manage the core network and radio access network (RAN) resources efficiently. It is an automated system, where users just needs to provide higher-level information in the form of intents/contracts for a network slice, and in return our system deploys and configures the requested resources. Moreover, a deep learning model Generative Adversarial Neural Network (GAN) has been used for the management of network resources. Several tests have been performed by creating three slices with our system, which shows better performance in terms of bandwidth and latency.
Network Slice Selection Function on M-CORD
Javier Diaz Rivera,Talha Ahmed Khan,Mehmood Asif,송왕철 한국통신학회 2018 KNOM Review Vol.21 No.2
As Network Slicing functionality gets applied to mobile networking, a mechanism that enables the selection of network slices becomes indispensable. Following the 3GPP Technical Specification for the 5G Architecture, the inclusion of the Network Slice Selection Function (NSSF) in order to leverage the process of slice selection is apparent. However, actual implementation of this network function needs to deal with the dynamic changes of network instances, due to this, a platform that supports the orchestration of Virtual Network Functions (VNF) is required. Our proposed solution include the use of the Central Office Rearchitected as a Data Center (CORD) platform, with the specified profile for mobile networks (M-CORD) that integrates a service orchestrator (XOS) alongside solutions oriented to Software Defined Networking (SDN), Network Function Virtualization (VNF) and virtual machine management through OpenStack, in order to provide the right ecosystem where our implementation of NSSF can obtain slice information dynamically by relying on synchronization between back-end services and network function instances.
Entropy generation in hydrodynamic slip flow over a vertical plate with convective boundary
Adnan Saeed Butt,Sufian Munawar,Asif Ali,Ahmer Mehmood 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.9
The present article aims to report the effects of hydrodynamic slip on entropy generation in the boundary layer flow over a vertical surface with convective boundary condition. Suitable similarity transformations are used to transform the fundamental equations of hydrodynamic and thermal boundary layer flow into ordinary differential equations. The governing equations are then solved numerically using the shooting method and the velocity and the temperature profiles are obtained for various values of parameters involved in the governing equations. The expressions for the entropy generation number and the Bejan number are presented and the results are discussed graphically and quantitatively for the slip parameter, the local Grashof number, the Prandtl number, the local convective heat transfer parameter, the group parameter and the local Reynolds number. It is observed that due to the presence of slip, entropy production in a thermal system can be controlled and reduced.