Name
Abstract | ||
|---|---|---|
Parallel design patterns can be fruitfully combined to develop parallel software applications. Different combinations of patterns can feature different QoS while being functionally equivalent. To support application developers in selecting the best combinations of patterns to develop their applications, we hereby propose a probabilistic approach that permits analysing, at design time, multiple QoS attributes of parallel design patterns-based application. We also present a proof-of-concept implementation of our approach, together with some experimental results. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10766-016-0476-8 | International Journal of Parallel Programming |
Keywords | Field | DocType |
Parallel design patterns, QoS, Probabilistic analysis, Design time | Information system,Data mining,Computer science,Structural pattern,Software design pattern,Quality of service,Theoretical computer science,Probabilistic analysis of algorithms,Software,Parallel software,Probabilistic logic,Distributed computing | Journal |
Volume | Issue | ISSN |
46 | 1 | 1573-7640 |
Citations | PageRank | References |
0 | 0.34 | 12 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Brogi | 1 | 1708 | 146.54 |
| Marco Danelutto | 2 | 1181 | 127.77 |
| Daniele De Sensi | 3 | 60 | 9.87 |
| Ahmad Ibrahim | 4 | 44 | 6.66 |
| Jacopo Soldani | 5 | 190 | 27.66 |
| Massimo Torquati | 6 | 433 | 46.72 |