Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
—Workload characterisation and generation is becoming an increasingly important area as hardware and application complexities continue to advance. In this paper, we introduce a c...
Abstract—Many application domains require adaptive realtime embedded systems that can change their functionality over time. In such systems it is not only necessary to guarantee ...
Nikolay Stoimenov, Simon Perathoner, Lothar Thiele
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...