Mobile Edge Computing Empowers Internet of Things

In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework. The MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. Specifically, the IoT devices (belonging to the same user) are associated to a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy VM stores and analyzes the IoT data (generated by its IoT devices) in real-time. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access control problem in the IoT system. In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets, respectively. Performance of the proposed methods are validated via extensive simulations

Edge analytics in the internet of things

High-data-rate sensors are becoming ubiquitous in the Internet of Things. GigaSight is an Internet-scale repository of crowd-sourced video content that enforces privacy preferences and access controls. The architecture is a federated system of VM-based cloudlets that perform video analytics at the edge of the Internet

Cloudlet Deployment to Balance Energy Consumption in Wireless Networks: A Survey, Issues and Challenges

Cloud computing and wireless networks, both are two different important components in information technology (IT) world. These both wide network components are unlike from each other and their characteristics are providing huge services. By using these services, users getting several computing services at low cost while providing the security and privacy. According to the one survey till end of the 2016, gross payments from the e-commerce business management was spent $4 billion for maintenance of datacenters. Energy consumption is the key component in the information technology world, because due to the wastage usage of computing hardware components like servers, datacenters and network bandwidth etc., business profits will be go down. So, by integration of these two areas, online business management will get more revenues while providing the QoS. The proposed mechanism, deploying the cloudlets for executing the actions, which are belongs to the wireless networks such as Local Area Network (LAN), Metropolitan Area Network (MAN) and Wide Area Network (WAN) etc. The proposed idea addressed better solution to avoid Service Level Agreement�s (SLA) violations and poor QoS

Next Generation Cloud Computing: New Trends and Research Directions

The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving. In this paper, we firstly discuss the changing cloud infrastructure and consider the use of infrastructure from multiple providers and the benefit of decentralising computing away from data centers. These trends have resulted in the need for a variety of new computing architectures that will be offered by future cloud infrastructure. These architectures are anticipated to impact areas, such as connecting people and devices, data-intensive computing, the service space and self-learning systems. Finally, we lay out a roadmap of challenges that will need to be addressed for realising the potential of next generation cloud systems.Comment: Accepted to Future Generation Computer Systems, 07 September 201