Migrate or not? Exploring virtual machine migration in roadside cloudlet‐based vehicular cloud

Abstract

SUMMARYVehicle Ad-Hoc Networks (VANET) enable all components in intelligent transportation systems to be connected so as to improve transport safety, relieve traffic congestion, reduce air pollution, and enhance driving comfort. The vision of all vehicles connected poses a significant challenge to the collection, storage, and analysis of big traffic-related data. Vehicular cloud computing, which incorporates cloud computing into vehicular networks, emerges as a promising solution. Different from conventional cloud computing platform, the vehicle mobility poses new challenges to the allocation and management of cloud resources in roadside cloudlet. In this paper, we study a virtual machine (VM) migration problem in roadside cloudletbased vehicular network and unfold that (1) whether a VM shall be migrated or not along with the vehicle moving and (2) where a VM shall be migrated, in order to minimize the overall network cost for both VM migration and normal data traffic. We first treat the problem as a static off-line VM placement problem and formulate it into a mixed-integer quadratic programming problem. A heuristic algorithm with polynomial time is then proposed to tackle the complexity of solving mixed-integer quadratic programming. Extensive simulation results show that it produces near-optimal performance and outperforms other related algorithms significantly.

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

“…The architecture is defined using VuC, VCC, and HVC. The summary and comparative assessment attest that M-EVMVC [30] has more viable architecture than other proposed architectures, when related to the proposed CC-V layered architecture, CC-V elements, better algorithm with complexity analysis, implementation proof with wide range of performance metrics …”

“…In [30], an idea of whether to Migrate or not has been investigated, by Exploring Virtual machine Migration in roadside cloudlet-based Vehicular Cloud (M-EVMVC). The concepts is to address the challenges of sharing resources with high mobile vehicles.…”

“…Architecture Design: Due to the fact that CC-V is still a new area of research, there is no generalized standard architecture for this new idea. Although many initial architectures for CC-V have been suggested, yet standard architectures with implementation details are unavailable [25][26][27][28][29][30][31]. Therefore, the issue need thorough exploration.…”

Big data cloud and the frontier of computer science and technology

“…Yao et al [7] study a VM migration problem with the goal of minimizing the total network cost, by making the decisions on which VM should be migrated and where the VM shall be migrated. They further formulate an optimization for the static off-line VM placement problem and then propose a heuristic algorithm with polynomial time to solve the optimization.…”

Contaminant source identification of water distribution networks using cultural algorithm

“…To prevent major disasters and losses caused by water pollution, using sensor network technology in urban water supply pipe network to real‐time security monitors the water distribution system. In this system, the water quality sensors installed in key gateways can real‐time monitor the pursuit of the goal . However, when pollution event occurs, knowing how to determine the characteristics of pollution sources based on the information collected by the water quality sensors and predict the position of the pollutants, injection time, injection time, and quality of information is a challenging work.…”