Formal process algebraic modeling, verification, and analysis of an abstract Fuzzy Inference Cloud Service

Rezaee, Ali; Rahmani, Amir Masoud; Movaghar, Ali; Teshnehlab, Mohammad

doi:10.1007/s11227-013-1005-9

Cited by 16 publications

(8 citation statements)

References 53 publications

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“…If process is recursive and composition of many such processes, it may take a long time and some time even system verification may fail due to state space explosion problem. 30,31 Through the property verification, we mostly check three types of properties:…”

Section: Sr No Ctl Formula -Calculus Translationmentioning

confidence: 99%

A formal approach for Docker container deployment

Yadav

Pal

Yadav

2021

Concurrency and Computation

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Container-based virtualization is becoming increasingly popular in the cloud industry, as it provides services to the client as per their requirements. Requirements of the user can be described in a configuration file. Cloud provider offers the services to the client using "pay-as-you go" model. Docker provides support to a cloud provider for the creation of a container, deployment of the container, and monitoring of services running inside a container on the host and guest system both. The creation and deployment of the container by Docker efficiently is a big challenge. In this paper, we capture the behavior of the container life cycle through process algebra (CCS) and properties of it as a formula using -calculus. Further we capture the behavior of deployment of the container on the host machine through CCS and its properties through the modelcalculus. We used model checking tool Concurrency Workbench of the New Century to verify the creation of the Docker container as well as deployment of it.

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Section: Sr No Ctl Formula -Calculus Translationmentioning

confidence: 99%

A formal approach for Docker container deployment

Yadav

Pal

Yadav

2021

Concurrency and Computation

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“…Klai and Ochi [18] used Symbolic Observation Graphs (SOG) to abstract cloud services and check the correction of their composition with respect to event-and state-based LTL formulae (Hybrid LTL). Rezaee et al [19] proposed the Fuzzy Inference Cloud Service (FICS) modeled using the CSP process algebra and introduced four formal verification tests to allow strict analysis of certain behavioral disciplines in the FICS. The above work provides good solutions for modeling, design and verification of cloud services.…”

Section: Related Workmentioning

confidence: 99%

Toward Formal Modeling and Verification of Resource Provisioning as a Service in Cloud

et al. 2019

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Cloud service provides a convenient pattern of delivery and management for the Internet-based resource sharing. Reliable resource provisioning is very important to the stability of cloud service systems. In order to guarantee the consistency of resource delivery in cloud service, we propose a method for modeling and verification of resource provisioning as a service in the cloud. First, the framework of resource provisioning as a service and the behaviors of its participants are presented. Then, client, service manager (including allocator, finish monitor, and time monitor), and resource service are modeled based on UPPAAL, respectively. Finally, we define some consistency properties that a service scenario needs to satisfy and formally verify whether our model satisfies these properties using the UPPAAL model checker. The results show that our model satisfies all the proposed properties, which demonstrates the rationality and trustworthiness of our model. INDEX TERMS Clouds, resource provisioning, Web services, UPPAAL, formal verification.

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“…Behavioral modeling of a system with label transition system (LTS) codes has been presented and verified. 11 The system's behavior model rules are introduced with linear temporal logic (LTL) formulas. 12 The LTS and LTL simultaneously input into the PAT tool to verify whether satisfies the temporal properties in the system.…”

Section: Introductionmentioning

confidence: 99%