The Coign automatic distributed partitioning system
OSDI '99 Proceedings of the third symposium on Operating systems design and implementation
The Jini architecture for network-centric computing
Communications of the ACM
Implementing remote procedure calls
ACM Transactions on Computer Systems (TOCS)
Service Location Protocol: Automatic Discovery of IP Network Services
IEEE Internet Computing
J-Orchestra: Automatic Java Application Partitioning
ECOOP '02 Proceedings of the 16th European Conference on Object-Oriented Programming
MJ: a rational module system for Java and its applications
OOPSLA '03 Proceedings of the 18th annual ACM SIGPLAN conference on Object-oriented programing, systems, languages, and applications
A Note on Distributed Computing
A Note on Distributed Computing
Concierge: a service platform for resource-constrained devices
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Distributed OSGi built over message-oriented middleware
Software—Practice & Experience
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In this paper we take advantage of the concepts developed for centralized module management, such as dynamic loading and unloading of modules, and show how they can be used to support the development and deployment of distributed applications. We do so through R-OSGi, a distributed middleware platform that extends the centralized, industry-standard OSGi specification to support distributed module management. To the developer, R-OSGi looks like a conventional module management tool. However, at deployment time, R-OSGi can be used to turn the application into a distributed application by simply indicating where the different modules should be deployed. At run time, R-OSGi represents distributed failures as module insertion and withdrawal operations so that the logic to deal with failures is the same as that employed to deal with dependencies among software modules. In doing so, R-OSGi greatly simplifies the development of distributed applications with no performance cost. In the paper we describe R-OSGi and several use cases. We also show with extensive experiments that R-OSGi has a performance comparable or better than that of RMI or UPnP, both commonly used distribution mechanisms with far less functionality than R-OSGi.