Static Scheduling of Periodic Hardware Tasks with Precedence and Deadline Constraints on Reconfigurable Hardware Devices

Task graph scheduling for reconfigurable hardware devices can be defined as finding a schedule for a set of periodic tasks with precedence, dependence, and deadline constraints as well as their optimal allocations on the available heterogeneous hardware resources. This paper proposes a new methodology comprising three main stages. Using these three main stages, dynamic partial reconfiguration and mixed integer programming, pipelined scheduling and efficient placement are achieved and enable parallel computing of the task graph on the reconfigurable devices by optimizing placement/scheduling quality. Experiments on an application of heterogeneous hardware tasks demonstrate an improvement of resource utilization of 12.45% of the available reconfigurable resources corresponding to a resource gain of 17.3% compared to a static design. The configuration overhead is reduced to 2% of the total running time. Due to pipelined scheduling, the task graph spanning is minimized by 4% compared to sequential execution of the graph

Vehicular cloud networks: Challenges, architectures, and future directions

International audienceVehicular Cloud Computing is a promising solution to exploit the underutilized vehicular resources and to meet the requirements of VANET applications and services. Although modern vehicles have important capacities of computation and storage, there is an increasing need for resources, in particular, for safety applications which require the cooperation between vehicles. The vehicular cloud offers to users the opportunity to rent resources on-demand or to share them freely to run their applications or to carry out some tasks. Even though this paradigm is feasible, its implementation still faces problems. Many researchers have focused on the architectural design in order to overcome different challenges and consequently meet user requirements to provide him/her with reliable services. In this work, we survey the vehicular cloud paradigm. We focus on its features and architectures. We first present a brief overview of the motivation of vehicular cloud. Then, we explore challenges related to its design. Furthermore, we highlight the features of existing vehicular cloud architectures: we provide a taxonomy of vehicular cloud followed by our classification criteria. Finally, we discuss issues that can be considered as open research directions

Off-line Placement of Hardware Tasks On FPGA

National audienc

In this paper, we propose a multi-access edge based vehicular fog architecture. It is based on the integration of fog computing (FC) and multi-access edge computing (MEC) with the vehicular cloud. The aim of this architecture is the exploitation of the unused vehicular resources and infrastructure equipment to bring the cloud at the proximity of users. The vehicular cloud serves as fog nodes that receive and process the users' requests. The control of the vehicular cloud and further processing are ensured by a MEC server. We describe the modules of the proposed architecture and the interaction between them in both cases static and mobile vehicular cloud. In order to optimize the access to the MEC server and to the conventional cloud, we suggest a fuzzy-based gateways' selection approach. It allows the selection of a set of vehicles that act as relays between the fog nodes (i.e. vehicles).

International audienc

Dynamic and On-line Design Space Exploration for Reconfigurable Architecture

International audienc