Dr Asif Thanedar, Assitant Professor at the Department of Computer Science and Engineering in research titled “An Efficient Resource Orchestration Algorithm for Enhancing Throughput in Fog Computing-enabled Vehicular Networks,” discusses issues faced by fog nodes (FNs) when serving connected vehicles during busy times. The research introduces an Efficient Resource Orchestration (ERO) algorithm designed to improve network performance by optimising resource use within the limits of FNs. The study aims to make a valuable contribution to the fields of vehicular fog computing and resource management.
Abstract :
The intelligent vehicles are connected to the roadside infrastructure, such as high power nodes (HPNs) and roadside units (RSUs), also called fog nodes (FNs), for obtaining on-demand services. These FNs possess finite resources and can provide services to limited vehicles. However, when vehicles reach the network spike in demand, the FNs become impuissant in furnishing services in the existing solutions. As a result, there is a significant reduction in the network throughput. Therefore, we propose an efficient resource orchestration (ERO) algorithm to maximize the throughput by reducing the allocated resource blocks (RBs) of FNs.
Explanation in layperson’s terms:
The throughput is maximized by migrating allotted RBs of vehicles in non-restricted coverage regions such that the allotted RBs of these vehicles are minimized among pairs of FNs.
We formulated the RBs migration problem in FCVNs to an integer linear programming (ILP) by scrutinizing the variables influencing the network throughput and FNs resource constraints.
We propose an ERO algorithm, a polynomial time algorithm, which constructs the minimum priority queue for optimal RBs migration between pairs of FNs to augment the network’s throughput. The ERO algorithm synchronizes the RBs allocation for offloading upstream services such that throughput is maximized by partitioning the coverage of FNs into restricted and non-restricted coverage regions.
Practical implementation:
For practical implementation we consider the FNs are equipped with large batteries and deployed across the highway segments of remote areas (i.e., forests or hill terrain) with no consistent power supply. In this context, we present an efficient resource orchestration (ERO) algorithm for harmonizing RB allocation and offloading upstream services among FNs to maximize the network throughput during battery depletion.
Collaborations:
Dr Sanjaya Kumar Panda, Assistant Professor, Dept. of CSE, National Institute of Technology Warangal.
Future Research Plans:
Resource Provisioning in Fog environment.
Energy Efficiency in vehicular fog computing (VFC).
Multi-objective optimization in fog computing.
