Abstract
Sensor web systems, cyber-physical systems, and the so-called Internet of Things are concepts that share a set of common characteristics. The nature of such systems is highly dynamic and very heterogeneous and issues such as interoperability, energy consumption, or resource management must be properly managed to ensure the operation of the applications within the required quality of service level. In this context, base technologies such as component based software engineering or Service Oriented Architecture can play a central role. Model driven development and middleware technologies also aid in the design, development, and operation of such systems. This paper presents a middleware solution that provides runtime support for the complete lifecycle management of a system consisting of several concurrent applications running over a set of distributed infrastructure nodes. The middleware builds up on top of a general purpose component model and is driven by a quality of service aware self-configuration algorithm that provides stateful reconfiguration capabilities in face of both internal (application triggered) and external (application unaware) reconfiguration events. The platform has been deployed over an automated warehouse supervision system that serves as a case study.
Highlights
Several paradigms have emerged over the last decade with similar characteristics and challenges
The middleware support that is proposed in this paper extends the DAMP (Distributed Applications Management Platform) platform introduced in [16], which provided basic lifecycle management support for component based distributed applications, as well as node level quality of service (QoS) enforcement in face of components self-QoS reconfiguration requests
WCETwk,kjj,ii where Rtk,j,i is the response time of pck,j,i monitored online and wkji is the number of possible values for the WCET of the physical component ck,j,i running in node ni, each one representing a different level of QoS demand [8]
Summary
Several paradigms have emerged over the last decade with similar characteristics and challenges. This work is focused on systems formed by heterogeneous infrastructure nodes (in terms of hardware and operating system) that dynamically allocate component based stateful applications which are as well diverse in terms of implementation language, communication protocols, and QoS requirements An example of such kind of systems is detailed, where an automated warehouse composed of tens of heterogeneous hardware nodes and hundreds of software components needs to be supervised in real time in order to avoid downtime due to new application deployment or to unexpected component faults which would be otherwise difficult to diagnose. The QoS aware reconfiguration algorithm allocates the available infrastructure resources to the demanding applications, taking into account their QoS related requirements This set of functionalities enables the runtime support for the complete lifecycle management of distributed and dynamically reconfigurable component based stateful applications.
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