With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Scheduling data processing workflows (dataflows) on the cloud is a very complex and challenging task. It is essentially an optimization problem, very similar to query optimizati...
Herald Kllapi, Eva Sitaridi, Manolis M. Tsangaris,...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
In this overview paper we motivate the need for and research issues arising from a new model of data processing. In this model, data does not take the form of persistent relations...
Brian Babcock, Shivnath Babu, Mayur Datar, Rajeev ...
Many stream processing applications require access to a multitude of streaming as well as stored data sources. Yet there is no clear semantics for correct continuous query executi...
Irina Botan, Peter M. Fischer, Donald Kossmann, Ne...