Name
Abstract | ||
|---|---|---|
Due to the well-known issues with Remote Procedure Calls (RPC), the rather simple idea of modifying legacy applications---that have low spatial locality to the data they need to process---to execute all of their procedures via RPC is not a feasible option. A more realistic and feasible alternative is to provide a self-management mechanism that can dynamically monitor and alter the execution of an existing application by selectively modifying certain procedures to execute remotely when it is necessary to improve spatial locality. In this paper we describe the motivations behind such a self-management mechanism, and outline an initial design. In addition, we introduce our vision for the required profiling component of these applications. As such, we introduce the Automated Legacy system Remote Procedure Call mechanism (ALRPC). It automatically converts existing monolithic C applications into a distributed system semi-automatically. Thus automation is a key criterion for successfully competing with existing remote procedure tools for legacy applications and with newer solutions such as SOAP and REST [12], [21]. ALRPC is the core component to convert monolithic applications into distributable self-adaptive RPC systems. The empirical results collected from our initial experiments show that our mechanism's level of automation outperforms existing industry strength tools and improves development time. At the same time our mechanism is able to correctly function with a significant code base and shows acceptable performance in initial tests.
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Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SEAMS.2013.6595505 | SEAMS |
Keywords | Field | DocType |
large data,remote proce,existing application,self-management mechanism,core component,self-managing system,initial design,rpc automation,initial experiment,remote procedure call mechanism,initial test,distributable self-adaptive rpc system,cloud computing,automated legacy system,legacy code,remote procedure calls,software maintenance,bandwidth,service oriented architecture,distributed processing,distributed system,automation,measurement,servers | Remote procedure call,Profiling (computer programming),Computer science,DCE/RPC,Server,Automation,Legacy code,Software maintenance,Operating system,Legacy system,Distributed computing | Conference |
ISSN | ISBN | Citations |
2157-2305 | 978-1-4673-4401-2 | 1 |
PageRank | References | Authors |
0.36 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Bergen | 1 | 28 | 3.56 |
| Yağız Onat Yazır | 2 | 4 | 1.76 |
| Yağız Onat Yazır | 3 | 4 | 1.76 |
| Hausi A. Müller | 4 | 2588 | 245.21 |
| Yvonne Coady | 5 | 393 | 46.19 |