Home // ICAS 2013, The Ninth International Conference on Autonomic and Autonomous Systems // View article
Authors:
Rafael Vasconcelos
Markus Endler
Berto Gomes
Francisco Silva
Keywords: Load balancing; Data Stream Processing; Autonomic computing; DDS; mobile communication middleware
Abstract:
Intelligent Transportation Systems, Fleet Management and Logistics, and integrated Industrial Process Automation share the requirement of remote monitoring and high performance processing of huge data streams produced by large sets of mobile nodes. The deployment and operation of infra-structures enabling such mobile communication and data stream processing have two key requirements: they must be capable of (a) handling large and variable numbers of wireless connections to the monitored mobile nodes regardless of their current use or locations, and (b) automatically adapt to variations in the volume of the mobile data streams. This article describes a mechanism for load balancing of mobile data streams based on the autonomic reference model MAPE-K. The autonomic capability has been incorporated into a scalable middleware system based on the OMG DDS standard and aimed at real-time and adaptive handling of mobile connectivity and data stream processing for great sets of mobile nodes. Besides explaining the autonomic extension of this middleware (MAPE-SDDL) and the generic load balancing approach implemented, we also present results of initial tests and discuss the potential benefits of using this model for general dynamic adaptivity in distributed middleware.
Pages: 7 to 13
Copyright: Copyright (c) IARIA, 2013
Publication date: March 24, 2013
Published in: conference
ISSN: 2308-3913
ISBN: 978-1-61208-257-8
Location: Lisbon, Portugal
Dates: from March 24, 2013 to March 29, 2013