The paper addresses the problem of matching and scheduling of DAG-structured application to both minimize the makespan and maximize the robustness in a heterogeneous computing sys...
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
Some applications for real-time scheduling have target demands in addition to the commonly used starttime and deadline constraints: a task should be executed at a target point in ...
Many complex real-time applications involve combined scheduling of hard and soft real-time tasks. In this paper, we propose a combined scheduling algorithm, called Emergency Algori...
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an...
Stephanie Lindsey, Cauligi S. Raghavendra, Krishna...