Integration of QoS Enabled Distributed Object Computing Middleware for Develovping Next-Generation D.pdfVIP

Integration of QoS Enabled Distributed Object Computing Middleware for Develovping Next-Generation D.pdf

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Integration of QoS Enabled Distributed Object Computing Middleware for Develovping Next-Generation D

Integration of QoS-enabled Distributed Object Computing Middleware for Developing Next-generation Distributed Applications Yamuna Krishnamurthy, Vishal Kachroo David A. Karr, Craig Rodrigues, fyamuna,vishalg@ Joseph P. Loyall and Richard Schantz Department of Computer Science fdkarr,crodrigu,jloyall,schantzg@ Washington University BBN Corporation St. Louis, MO, USA Cambridge, MA, USA Douglas C. Schmidt schmidt@ Electrical Computer Engineering Department University of California Irvine, CA, USA Abstract This paper describes the integration of QoS-enabled dis- tributed object computing (DOC) middleware for developing next-generation distributed applications. QoS-enabled DOC middleware, facilitates ease of development and deployment of applications that can leverage the underlying networking technology or end-system QoS architecture. This paper also describes the development of a demonstration application uti- lizing QoS-enabled middleware to control the dissemination of Unmanned Air Vehicle (UAV) data throughout a ship. Keywords: Distributed object computing, QoS-enabled Middleware, QuO middleware, CORBA-based Multimedia Streaming 1 Introduction DOC middleware has evolved tremendously over the past few years. Initially, it facilitated the seamless inter-operation of various applications over a variety of heterogeneous environ- ments. Its growing acceptance has opened its applicability to a broader variety of applications, whose demands are far beyond inter-operability. This is especially true for next-generation applications such as e-commerce, autonomous process con- trol, and global event notification systems. These advanced applications require a wide range of quality of service (QoS) support, where resources are managed both prior to and during run-time. For example in mission critical telecommunication systems and distributed electronic medical imaging systems, a failure to meet certain deadlines can re- sult in significant loss of property and even life. Theref

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