Formal verification requires high performance data processing software for extracting knowledge from the unprecedented amount of data coming from analyzed systems. Since cloud based computing resources have became easily accessible, there is an opportunity for verification techniques and tools to undergo a deep technological transition to exploit the new available architectures. This has created an increasing interest in parallelizing and distributing verification techniques. In this paper we introduce a distributed approach which exploits techniques typically used by the bigdata community to enable verification of very complex systems using bigdata approaches and cloud computing facilities
Distributed verification uses the resources of several computers to speed up the verification and, e...
Cloud computing act as a significantpart for big data dispensation by providing statisticscalculatin...
Most existing data integrity auditing protocols in cloud storage rely on proof of probabilistic data...
Abstract—The recent extensive availability of “big data” platforms calls for a more widespread adopt...
Formal verification of dynamic, concurrent and real-time systems has been the focus of several decad...
The recent extensive availability of 'cloud' computing platforms is very appealing for the formal ve...
The recent extensive availability of 'big data' platforms calls for a widespread adoption by the for...
Software Engineering is trying to adapt its tools, mechanisms and techniques to cope with the challe...
International audienceAs the usage of cloud becomes pervasive in our lives, it is needed to ensure t...
International audienceAs the usage of cloud becomes pervasive in our lives, it is needed to ensure t...
Data parallel, multi-stage computations occurring on a massive scale are difficult to verify. With t...
© 2018 Elsevier Ltd With the explosive growth of data and the rapid development of science technolog...
Formal methods are system design techniques based on rigorous mathematical models to build software ...
AbstractDistributed verification uses the resources of several computers to speed up the verificatio...
International audienceDistributed verification uses the resources of several computers to speed up t...
Distributed verification uses the resources of several computers to speed up the verification and, e...
Cloud computing act as a significantpart for big data dispensation by providing statisticscalculatin...
Most existing data integrity auditing protocols in cloud storage rely on proof of probabilistic data...
Abstract—The recent extensive availability of “big data” platforms calls for a more widespread adopt...
Formal verification of dynamic, concurrent and real-time systems has been the focus of several decad...
The recent extensive availability of 'cloud' computing platforms is very appealing for the formal ve...
The recent extensive availability of 'big data' platforms calls for a widespread adoption by the for...
Software Engineering is trying to adapt its tools, mechanisms and techniques to cope with the challe...
International audienceAs the usage of cloud becomes pervasive in our lives, it is needed to ensure t...
International audienceAs the usage of cloud becomes pervasive in our lives, it is needed to ensure t...
Data parallel, multi-stage computations occurring on a massive scale are difficult to verify. With t...
© 2018 Elsevier Ltd With the explosive growth of data and the rapid development of science technolog...
Formal methods are system design techniques based on rigorous mathematical models to build software ...
AbstractDistributed verification uses the resources of several computers to speed up the verificatio...
International audienceDistributed verification uses the resources of several computers to speed up t...
Distributed verification uses the resources of several computers to speed up the verification and, e...
Cloud computing act as a significantpart for big data dispensation by providing statisticscalculatin...
Most existing data integrity auditing protocols in cloud storage rely on proof of probabilistic data...