- Computing and Information Systems - Research Publications
Computing and Information Systems - Research Publications
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ItemProactive Traffic Merging Strategies for Sensor-Enabled CarsWang, Z ; Kulik, L ; Ramamohanarao, K ; Guo, H (IGI Global, 2009)Congestion is a major challenge in today’s road traffic. The primary cause is bottlenecks such as ramps leading onto highways, or lane blockage due to obstacles. In these situations, the road capacity reduces because several traffic streams merge to fewer streams. Another important factor is the non-coordinated driving behavior resulting from the lack of information or the intention to minimize the travel time of a single car. This chapter surveys traffic control strategies for optimizing traffic flow on highways, with a focus on more adaptive and flexible strategies facilitated by current advancements in sensor-enabled cars and vehicular ad hoc networks (VANETs). The authors investigate proactive merging strategies assuming that sensor-enabled cars can detect the distance to neighboring cars and communicate their velocity and acceleration among each other. Proactive merging strategies can significantly improve traffic flow by increasing it up to 100% and reduce the overall travel delay by 30%.
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ItemWorkflow Scheduling Algorithms for Grid ComputingYu, J ; Buyya, R ; Ramamohanarao, K ; Xhafa, F ; Abraham, A (SPRINGER-VERLAG BERLIN, 2008)
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ItemA taxonomy of data grids for distributed data sharing, management, and processingVenugopal, S ; Buyya, R ; Ramamohanarao, K (Association for Computing Machinery (ACM), 2006)Data Grids have been adopted as the next generation platform by many scientific communities that need to share, access, transport, process, and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this article, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks, and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation, and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration.
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ItemLayered Approach Using Conditional Random Fields for Intrusion DetectionGupta, KK ; Nath, B ; Kotagiri, R (IEEE COMPUTER SOC, 2010-01-01)
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ItemInformation sharing for distributed intrusion detection systemsPeng, T ; Leckie, C ; Ramamohanarao, K (ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD, 2007-08)
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ItemTrust-based robust scheduling and runtime adaptation of scientific workflowWang, M ; Ramamohanarao, K ; Chen, J (WILEY, 2009-11)