@conference {19633,
	title = {Configuration Reasoning and Ontology For Web},
	booktitle = {IEEE International Conference on Services Computing, 2007. SCC 2007},
	year = {2007},
	month = {2007/07//},
	pages = {387 - 394},
	abstract = {Configuration plays a central role in the deployment and management of Web infrastructures and applications. A configuration often consists of assigning "values" to a pre-defined set of parameters defined in one or more files. Although the task of assigning values to (configuration) parameters looks simple, configuring infrastructures and applications is a very complex process. In this paper we present a framework for defining and analyzing configuration of an Apache server. We define the notion of "configuration space" of an Apache server as a set of possible values that can be assigned to configuration parameters. We then define the notion of an "obstacle" and "forbidden region" in the configuration space that should be avoided. We model configuration space using a logical framework based on OWL (Web ontology language). The obstacles and forbidden regions in the configuration space are modeled as constraints in the logical framework. These obstacles and forbidden regions are essentially "anti-patterns" that a typical installation should avoid. Given an instance of a configuration (that is, a "point" in the configuration space) we then check if the instance is "obstacle free" using logical reasoning.},
	keywords = {Apache server, Application software, configuration management, configuration reasoning, configuration space, File servers, Information security, Internet, knowledge representation languages, logical framework, logical reasoning, ontologies, ontologies (artificial intelligence), Orbital robotics, OWL, path planning, Robot kinematics, Runtime environment, Taxonomy, Web infrastructures management, Web ontology language, Web server},
	author = {Dana Dachman-Soled and Sreedhar, V.C.}
}
@conference {17887,
	title = {Comparing the Performance of High-Level Middleware Systems in Shared and Distributed Memory Parallel Environments},
	booktitle = {Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International},
	year = {2005},
	month = {2005/04//},
	pages = {30 - 30},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The utilization of toolkits for writing parallel and/or distributed applications has been shown to greatly enhance developer{\textquoteright}s productivity. Such an approach hides many of the complexities associated with writing these applications, rather than relying solely on programming language aids and parallel library support, such as MPI or PVM. In this work, we evaluate three different middleware systems that have been used to implement a computation and I/O-intensive data analysis application from the domain of computer vision. This study shows the benefits and overheads associated with each of the middleware systems, in different homogeneous computational environments and with different workloads. Our results lead the way toward being able to make better decisions for tuning the application environment, for selecting the appropriate middleware, and also for designing more powerful middleware systems to efficiently build and run highly complex applications in both parallel and distributed computing environments.},
	keywords = {Application software, Computer science, Computer vision, Data analysis, Distributed computing, distributed computing environment, distributed memory parallel environment, distributed shared memory systems, Educational institutions, high-level middleware system, I/O-intensive data analysis application, Libraries, Middleware, parallel computing environment, parallel library support, parallel memories, programming language, programming languages, Runtime environment, shared memory parallel environment, Writing},
	isbn = {0-7695-2312-9},
	doi = {10.1109/IPDPS.2005.144},
	author = {Kim,Jik-Soo and Andrade,H. and Sussman, Alan}
}
