Static analysis of cloud elasticity
We propose a static analysis technique that computes upper bounds of virtual machine usages in a concurrent language with explicit acquire and release operations of virtual machines. In our language it is possible to delegate other (ad-hoc or third party) concurrent code to release virtual machines...
Gespeichert in:
| Veröffentlicht in: | Science of computer programming Jg. 147; S. 27 - 53 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Elsevier B.V
01.11.2017
Elsevier |
| Schlagworte: | |
| ISSN: | 0167-6423, 1872-7964 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Zusammenfassung: | We propose a static analysis technique that computes upper bounds of virtual machine usages in a concurrent language with explicit acquire and release operations of virtual machines. In our language it is possible to delegate other (ad-hoc or third party) concurrent code to release virtual machines (by passing them as arguments of invocations). Our technique is modular and consists of (i) a type system associating programs with behavioural types that record relevant information for resource usage (creations, releases, and concurrent operations), (ii) a translation function that takes behavioural types and returns cost equations, and (iii) an automatic off-the-shelf solver for the cost equations.
A soundness proof of the type system establishes the correctness of our technique with respect to the cost equations. We have experimentally evaluated our technique using a cost analysis solver and we report some results.
•A technique for the static analysis of resource utilization is proposed.•The analysis relies on a static type system that records program's resources behaviour.•The proposed approach supports concurrency and explicit release operations.•A proof of soundness of the proposed type system and of the analysis is provided. |
|---|---|
| ISSN: | 0167-6423 1872-7964 |
| DOI: | 10.1016/j.scico.2017.03.008 |