AutoSeC An Integrated Middleware Framework for Dynamic Service 一个集成的中间件框架AutoSeC动态服务.pptVIP

AutoSeC An Integrated Middleware Framework for Dynamic Service 一个集成的中间件框架AutoSeC动态服务.ppt

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AutoSeC An Integrated Middleware Framework for Dynamic Service 一个集成的中间件框架AutoSeC动态服务

AutoSeC: An Integrated Middleware Framework for Dynamic Service Brokering Qi Han and Nalini Venkatasubramanian Distributed Systems Middleware Group /~dsm Dept. of Information and Computer Science University of California-Irvine Global Information Infrastructure Proliferation of devices System support for multitude of smart devices that attach and detach from a distribution infrastructure produce large volume of information at a high rate limited by communication and power constraints Require a customizable global networking backbone.. Applications (e.g. multimedia) may have QoS requirements should be translated to system level resource requirements Explore effective middleware infrastructures which can be used to support efficient QoS-based resource provisioning algorithms QoS-based Resource Provisioning Issues Degree of network awareness that middleware and applications must have to deal with network conditions Resource provisioning algorithms utilize current system resource availability information to ensure that applications meet their QoS requirements Additional Challenges In highly dynamic (e.g. mobile) environments, system conditions are constantly changing Maintaining accurate and current system information is important to efficient execution of resource provisioning algorithms Automatic Service Composition (AutoSeC) Tools needed to securely and dynamically manage an adaptable network infrastructure while ensuring user QoS a set of network management middleware services is critical to providing these tools AutoSeC: dynamically select an appropriate combination of information collection and resource provisioning policies based on current system status AutoSeC Framework Network and Server Information Collection Policies System Snapshot (SS) information about the residual capacity of network nodes and server nodes is based on an absolute value obtained from a periodic snapshot Static Interval (SI) residual capacity information is maintained using a static

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