Cloud Accountability Method: Towards Accountable Cloud Service-Level Agreements

Adjepon-Yamoah, David Ebo

doi:10.1007/978-981-16-1781-2_40

Cited by 2 publications

(3 citation statements)

References 25 publications

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“…All these issues might be addressed by adding accountability to Cloud services [4], [5], [6], [7], [8]. Indeed, an accountable Cloud would be capable of attributing actions and transactions to specific entities, thus adding responsibility to the functionalities and behavior of all actors involved in the Cloud service applications.…”

Section: B Scenariomentioning

confidence: 99%

Accountable Clouds Through Blockchain

et al. 2023

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We present a solution for accountability in Cloud infrastructures based on blockchain. We show that, through smart contracts, it is possible to create an unforgeable log that can be used for auditing and automatic Service Level Agreement (SLA) verification. As a practical case study, we consider Cloud storage services and define interaction protocols for registering the outcome of each file operation in the blockchain. We developed a prototype implementation that runs on the GoQuorum, Hyperledger Besu, and Polygon blockchains, using different consensus protocols. Using a dedicated testbed, we discuss the performance of our implementation in terms of latencies, error rates and gas usage. Results demonstrate the viability of our approach over permissioned blockchains, with better performance for the Polygon and GoQuorum Raft decentralized systems. Our implementation enables interoperability, given that it is supported by the Ethereum Virtual Machine which currently is underlying several blockchain platforms. Blockchain, smart contracts, cloud computing. INDEX TERMS

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Section: B Scenariomentioning

confidence: 99%

Accountable Clouds Through Blockchain

et al. 2023

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“…The analyzed references considering Markov modelling for assessing the availability and cybersecurity of cloud and IoT systems can be divided into three groups: the references related to assessing availability and reliability [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27], the references related to assessing cybersecurity [28][29][30][31][32][33][34][35][36][37][38][39], and references related to assessing both availability and cybersecurity as attributes of dependability of cloud and IoT systems [40][41][42][43].…”

Section: State Of the Artmentioning

confidence: 99%

“…The study [24] presented Markov models for the cloud, fog, and edge systems, which allowed defining a range of system metrics to study the performance of workflow scheduling and offloading of service-based applications. An evidence-based stochastic (Markov chains) analysis of the Reactive Architecture with a Cloud accountability System was conducted in [25]. The analysis results were utilized for facilitating a method to provide dependability assurance evidence for the Reactive Architecture.…”

Section: State Of the Artmentioning

confidence: 99%

Combining Markov and Semi-Markov Modelling for Assessing Availability and Cybersecurity of Cloud and IoT Systems

et al. 2022

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This paper suggests a strategy (C5) for assessing cloud and IoT system (CIS) dependability, availability, and cybersecurity based on the continuous collection, comparison, choice, and combination of Markov and semi-Markov models (MMs and SMMs). It proposes the systematic building of an adequate and accurate model to evaluate CISs considering (1) continuous evolution of the model(s) together with systems induced by changes in the CIS or physical and cyber environment parameters; (2) the necessity of collecting data on faults, failures, vulnerabilities, cyber-attacks, privacy violations, and patches to obtain actual data for assessment; (3) renewing the model set based on analysis of CIS operation; (4) the possibility of choice and utilizing “off-the-shelf” models with understandable techniques for their development to assure improved accuracy of assessment; (5) renewing the models during application of CIS by time, component or mixed combining, taking into consideration different operation and maintenance events. The results obtained were algorithms for data collection and analysis, choice, and combining appropriate MM and SMMs and their different types, such as multi-fragmental and multiphase models, considering changing failure rates, cyber-attack parameters, periodical maintenance, etc. To provide and verify the approach, several private and public clouds and IoT systems were researched and discussed in the context of C5 and proposed algorithms.

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Cloud Accountability Method: Towards Accountable Cloud Service-Level Agreements

Cited by 2 publications

References 25 publications

Accountable Clouds Through Blockchain

Accountable Clouds Through Blockchain

Combining Markov and Semi-Markov Modelling for Assessing Availability and Cybersecurity of Cloud and IoT Systems

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