@article {161,
	title = {Restricted continuous KNN queries on road networks with caching enhancement},
	journal = {Journal of Digital Information Management},
	volume = {6},
	year = {2008},
	note = {Cited By (since 1996):2Export Date: 10 July 2014},
	month = {2008},
	pages = {38 - 50},
	abstract = {Using a Global Positioning System (GPS) in the car navigation system enables the driver to perform a wide range of queries, from locating the car position, to finding a route from a source to a destination, or dynamically selecting the best route in real time. With spatial network databases (SNDB), objects are restricted to move on pre-defined paths (e.g., roads) that are specified by an underlying network. In our previous work, we proposed a novel approach, termed Progressive incremental Network Expansion (PINE), to efficiently Support several spatial queries. In this work, we utilize our developed PINE system to efficiently support Restricted Continuous K Nearest Neighbors (RCKNNs) queries. RCKNN continously finds the K nearest objects to a query point an a given path that are within a specified distance bound. Our solution addresses a new type of query that is plausible to many applications where the answer to the query not only depends an the distances of the nearest neighbors, but also on the user ar application needs. By distinguishing between two types of split points, we reduce the number of computations required to retreive the RCKNNs of moving object. We futher define a caching model to expedite RCKNN query response time.},
	keywords = {Navigation system, Network databases, Spatial databases},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-56849106703\&partnerID=40\&md5=cc8d24f89ed2e864614cd064ddf33afc},
	author = {Safar, M. and Ebrahimi, D. and Jane, M.M.F. and Nadarajan, R.}
}
@article {67,
	title = {Sensitivity analysis of server placement on enterprise network topology through soft computing},
	journal = {Journal of Digital Information Management},
	volume = {5},
	year = {2007},
	note = {Export Date: 10 July 2014},
	month = {2007},
	pages = {1 - 7},
	abstract = {We analyze the consequences when both the server placement problem and network topology problem are solved concurrently through soft computing. Both problems are formulated as a combined optimization problem, subject to a set of design and performance constraints while minimizing the enterprise network cost. We have coded the combined optimization problem within a soft computing methodology, which is based on a probabilistic genetic program for automatically searching the design space for good network topologies. The experimental results for synthesizing and optimizing 3-level enterprise network (65 user nodes) for an edge-server placement has demonstrated the effectiveness of our methodology in finding good solutions with a static workload in less than five minutes.},
	keywords = {Analysis, Clustering, Edge-server placement, Network topology, Optimization, Soft computing, Web structure analysis},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33947320448\&partnerID=40\&md5=62ced3281abb66c04e4ac8f00c808c7b},
	author = {Safar, M. and Habib, S.}
}
