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Many carpool and ride-sharing solutions have been proposed and even developed in the previous decades, but rarely have they been able to attain a global user base, at least not up until recently. That was mostly because many of them were not initially designed as scalable, leaving their users with a sub-par user experiences as their user base grew, and(More)
The emerging computational grid infrastructure consists of heterogeneous resources in widely distributed autonomous domains, which makes job scheduling very challenging. Although there is much work on static scheduling approaches for workflow applications in parallel environments, little work has been done on a real-world Grid environment for industrial(More)
This paper focuses on grid performance optimization in large scale workflow applications with an intelligent workflow scheduling mechanism. Utility Management Systems (UMS) are managing very large numbers of workflows with very high resource requirements. This paper proposes a UMS scheduling architecture which dynamically executes a scheduling algorithm(More)
Setting out to build a real-time carpool and ride-sharing solution, which would be able to attain a global user base and is initially designed as highly-scalable, this paper describes some of the selected designed concepts, distribution and cloud computing strategies needed to do so. Our selections were based on experiences of others with same or(More)
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