Computing and Information Systems - Research Publications

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    Business Process Model Abstraction
    Polyvyanyy, A ; Smirnov, S ; Weske, M ; Vom Brocke, J ; Rosemann, M (Springer-Verlag, 2010-01-01)
    In order to execute, study, or improve operating procedures companies document them as business process models. Often business process analysts capture every single exception handling or alternative task handling scenario within a model. Such a tendency results in large process specifications. The core process logic becomes hidden in numerous modeling constructs. To fulfill different tasks companies develop several model variants of the same business process at different abstraction levels. Afterwards, maintenance of such model groups involves a lot of synchronization effort and is erroneous. We propose an abstraction technique that allows generalization of process models. Business process model abstraction assumes a detailed model of a process to be available and derives coarse grained models from it. The task of abstraction is to tell significant model elements from insignificant ones and to reduce the latter. We propose to learn insignificant process elements from supplementary model information, e.g., task execution time or frequency of task occurrence. Finally, we discuss a mechanism for user control of the model abstraction level - an abstraction slider.
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    Measuring Success
    CULLEN, S ; Willocks, L (Caspian Publishing, 2007)
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    GridEmail: Economically Regulated Internet-based Interpersonal Communications
    Soysa, ; BUYYA, R ; NATH, G ; Dai, YS ; Pan, Y ; Raje, R (Nova Science Publishers, 2006)
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    Proactive Traffic Merging Strategies for Sensor-Enabled Cars
    Wang, 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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    A Taxonomy of CDNs
    Pathan, M ; Buyya, R ; Buyya, R ; Pathan, M ; Vakali, A (SPRINGER, 2008)
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    Efficient data collection and selective queries in sensor networks
    Kulik, L ; Tanin, E ; Umer, M ; Nittel, S ; Labrinidis, A ; Stefanidis, A (SPRINGER-VERLAG BERLIN, 2008)
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    Sensor web: Integration of sensor networks with web and cyber infrastructure
    Kobialka, T ; Buyya, R ; Deng, P ; Kulik, L ; Palaniswami, M (IGI Global, 2010-12-01)
    As sensor network deployments grow and mature there emerge a common set of operations and transformations. These can be grouped into a conceptual framework called Sensor Web. Sensor Web combines cyber infrastructure with a Service Oriented Architecture (SOA) and sensor networks to provide access to heterogeneous sensor resources in a deployment independent manner. In this chapter we present the Open Sensor Web Architecture (OSWA), a platform independent middleware for developing sensor applications. OSWA is built upon a uniform set of operations and standard data representations as defined in the Sensor Web Enablement Method (SWE) by the Open Geospatial Consortium (OGC). OSWA uses open source and grid technologies to meet the challenging needs of collecting and analyzing observational data and making it accessible for aggregation, archiving and decision making.
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    Decentralized overlay for federation of enterprise clouds
    Ranjan, R ; Buyya, R (IGI Global, 2009-12-01)
    This chapter describes Aneka-Federation, a decentralized and distributed system that combines enterprise Clouds, overlay networking, and structured peer-to-peer techniques to create scalable wide-area networking of compute nodes for high-throughput computing. The Aneka-Federation integrates numerous small scale Aneka Enterprise Cloud services and nodes that are distributed over multiple control and enterprise domains as parts of a single coordinated resource leasing abstraction. The system is designed with the aim of making distributed enterprise Cloud resource integration and application programming flexible, efficient, and scalable. The system is engineered such that it: enables seamless integration of existing Aneka Enterprise Clouds as part of single wide-area resource leasing federation; self-organizes the system components based on a structured peer-to-peer routing methodology; and presents end-users with a distributed application composition environment that can support variety of programming and execution models. This chapter describes the design and implementation of a novel, extensible and decentralized peer-to-peer technique that helps to discover, connect and provision the services of Aneka Enterprise Clouds among the users who can use different programming models to compose their applications. Evaluations of the system with applications that are programmed using the Task and Thread execution models on top of an overlay of Aneka Enterprise Clouds have been described here.
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    DISTRIBUTIONAL SIMILARITY AND PREPOSITION SEMANTICS
    Baldwin, T ; SaintDizier, P (SPRINGER, 2006)
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    Phatic Interactions: Being Aware and Feeling Connected
    Vetere, F ; Smith, J ; Gibbs, M ; Markopoulos, P ; DeRuyter, B ; Mackay, W (SPRINGER, 2009)