Conference paper Open Access

Striver: Stream Runtime Verification for Real-Time Event-Streams

Felipe Gorostiaga; César Sánchez


Citation Style Language JSON Export

{
  "publisher": "Springer", 
  "DOI": "10.1007/978-3-030-03769-7_16", 
  "container_title": "Proceedings of the The 18th International Conference on Runtime Verification", 
  "title": "Striver: Stream Runtime Verification for Real-Time Event-Streams", 
  "issued": {
    "date-parts": [
      [
        2018, 
        11, 
        10
      ]
    ]
  }, 
  "abstract": "<p>We study the problem of monitoring rich properties of real-time event streams, and propose a solution based on Stream Runtime Verification (SRV), where observations are described as output streams of data computed from input streams of data. SRV allows a clean separation between the temporal dependencies among incoming events, and the concrete operations that are performed during the monitoring.</p>\n\n<p>SRV specification languages typically assume that all streams share a global synchronous clock and input events arrive in a synchronous manner. In this paper we generalize the time assumption to cover real-time event streams, but keep the essential explicit time dependencies present in synchronous SRV languages. We introduce&nbsp;Striver, which shares with SRV the simplicity, and the separation between the timing reasoning and the data domain.&nbsp;Striver&nbsp;is a general language that allows to express other real-time monitoring languages. We show in this paper translations from other formalisms for (piece-wise constant) signals and timed event streams. Finally, we report an empirical evaluation of an implementation of&nbsp;Striver.</p>", 
  "author": [
    {
      "family": "Felipe Gorostiaga"
    }, 
    {
      "family": "C\u00e9sar S\u00e1nchez"
    }
  ], 
  "id": "3385673", 
  "type": "paper-conference", 
  "event": "International Conference on Runtime Verification (RV2018)", 
  "page": "282-298"
}
68
112
views
downloads
Views 68
Downloads 112
Data volume 73.5 MB
Unique views 51
Unique downloads 98

Share

Cite as