A Framework with Proactive Nodes for Scheduling and Optimizing Distributed Embedded Systems

Abstract

Abstract.A new generation of distributed embedded systems (DES) is coming up in which several heterogeneous networked devices execute distributed applications. Such heterogeneity may apply to size, physical boundaries as well as functional and non-functional requirements. Typically, these systems are immersed in changing environments that produce dynamic requirements to which they must adapt. In this scenario, many complex issues that must be solved arise, such as remote task preemptions, keeping task precedence dependencies, etc. This paper presents a framework aimed at DES in which a central node, the Global Scheduler (GS), orchestrates the execution of all tasks in a DES. The distributed nodes take a proactive role by notifying the GS when they are capable of executing new tasks. The proposed approach requires from the underlying technology support for task migrations and local preemption at the distributed nodes level.

A Formal and Enriched Framework for Testing Distributed Embedded Systems

“…Sasi et al, [18] has presented a gaming system which used for testing an embedded system Many frameworks have been presented in literature for the development of either stand-alone embedded systems or distributed embedded systems. The frameworks presented in the literature includes Component Frame work [18], Rapid Application development [19], Scalable analysis and design of system-wide graceful degradation of distributed embedded systems [20], scheduling and optimising distributed embedded systems [21], and development of Hard Real time distributed embedded systems A framework has been presented that can be used for diagnosing the faults occurring in distributed embedded systems. Model based diagnosis architecture is presented by Gregory Provan et al [22] which considers distributed subsystems connected through a Graph.…”

A DDS-Based Scalable and Reconfigurable Framework for Cyber-Physical Systems

“…Typically, one reconfiguration criterion is based on the resource availability in order to determine which nodes are best suited to carry out a task. Therefore, it is necessary to model the available resources Examples of potential resources are CPU, memory or battery [16].…”