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The deployment and operation of Fifth Generation (5G) network is expected in 2020. The 5G aim to provide high throughput, reduced latency, increased capacity and a shift from service-orientation to user-orientation in requirements and innovations. The users require an efficient resource allocation and management. The closed infrastructure and ossified services of existing networks lead to complex, inefficient resource allocation and underutilized network resources especially in wireless networks. Different allocation techniques are proposed based on the utility gain of a service provider and user satisfaction. Software Defined Network (SDN) and Network Function Virtualization (NFV) are a hot topic in the wired and wireless network for the network management. SDN based 5G network is another stepping research domain for resource allocation and connectivity in 5G network. In this paper, a survey on state of the art on the 5G integration with the SDN is presented. A comprehensive survey is presented for different integrated architectures of 5G cellular network based on SDN and NFV form part of the paper. Different architectural integration of other wireless technologies such as 3G/4G, LTE, WiMAX etc. are highlighted in term of SDN and network virtualization. Furthermore, the paper focuses on the methods and techniques adopted for resource allocation for SDN based cellular network and elaborate requirements for futuristic 5G networks. It also highlights the role of virtualization and provides an analysis of abstraction for resource allocation in SDN based cellular network. In the end, the potential problems and issues are also comprehended in this article.

In this paper, a new orchestration of Fog-2-Cloud based framework is presented for efficiently managing the resources in the residential buildings. It is a three layered framework having: cloud layer, fog layer and consumer layer. Cloud layer is responsible for the on-demand delivery of the resources. Effective resource management is done through the fog layer because it minimizes the latency and enhances the reliability of cloud facilities. Consumer layer is based on the residential users who fulfill their daily electricity demands through fog and cloud layers. Six regions are considered in the study, where, each region has a cluster of buildings varying between 80 to 150 and each building has 80 to 100 homes. Load requests of the consumers are considered fixed during every hour in the complete day. Two control parameters are considered: clusters of buildings and load requests, whereas, three performance parameters: request per hour, response time and processing time are also included. These parameters are optimized by the round robin algorithm, equally spread current execution algorithm and our proposed algorithm shortest job first. The simulation results show that our proposed technique has outperformed the previous techniques in terms of the aforementioned parameters. Tradeoff occurs in the processing time of the algorithms as compared to response time and request per hour.

Internet of Things (IoT) and Software Defined Network (SDN) are two emerging technologies. The IoT aims to connect objects over the Internet and the SDN provides orchestration for network management by decoupling the control plane and the data plane. The number of connected objects is in billions, and its management and control is a complex task for a large distributed network. The SDN provides flexibility and programmability in the IoT network without troubling underlying architecture of existing implementations. In this paper, we study different IoT application and domains, and the generalized IoT-SDN solutions over the period of 2012-2016. Furthermore, this paper provides a critical view of the IoT and the SDN technologies, current trends in research and the futuristic contributing factors. A comparative analysis of the existing solutions of SDN-based IoT implementations provides an easy and concise view of the emerging trends.

The Internet of Things (IoT) is imminent technology grabbing industries and research attention with a fast stride. Currently, more than 15 billion devices are connected to the Internet and this number is expected to reach up to 50 billion by 2020. The data generated by these IoT devices are immensely high, creating resource allocation, flow management and security jeopardises in the IoT network. Programmability and centralised control are considered an alternative solution to address IoT issues. On the other hand, a Software Define Network (SDN) provides a centralised and programmable control and management for the underlying network without changing existing network architecture. This paper surveys the state of the art on the IoT integration with the SDN. A comprehensive review and the generalised solutions over the period 2010-2016 is presented for the different communication domains. Furthermore, a critical review of the IoT and the SDN technologies, current trends in research and the futuristic contributing factors form part of the paper. The comparative analysis of the existing solutions of SDN based IoT implementation provides an easy and concise view of the emerging trends. Lastly, the paper predicts the future and presents a qualitative view of the world in 2020.