CloudsStorm: An Application-Driven Framework to Enhance the Programmability and Controllability of Cloud Virtual Infrastructures

Zhou, Huan; Su, Jinshu; Laat, Cees de; Zhao, Zhiming

doi:10.1007/978-3-319-94295-7_18

Cited by 12 publications

(9 citation statements)

References 15 publications

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“…Consequently, taking into account that agricultural environments generate enormous amounts of diverse information which correspond to massive context spaces, while on the other hand the development of novel smart infrastructures is constantly increasing the demand for more complex intelligent services, the performance of such operations into local middleware components, could result into unscalable and deficient systems. Given the fact that cloud computing is a trend of information technology which offers centralized storage and processing power along with on demand availability of services [48][49][50], it is thought as deliberate to transpose context-aware middleware operations from local servers or smart devices to a distributed cloud environment for facilitating the management of such voluminous amounts of agricultural data, improving the processing time of context generation and expanding the capability to provide complex specialized services.…”

mentioning

confidence: 99%

A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0

2020

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The adoption of Precision Farming (PF) practices involving ubiquitous computing advancements and conceptual innovations of “smart” agricultural production toward Agriculture 4.0 is a significant factor for the benefit of sustainable growth. In this context, the dynamic integration of PF facility systems into the Internet of Things (IoT) represents an excessive challenge considering the large amount of heterogeneous raw data acquired in agricultural environments by Wireless Sensor and Actuator Networks (WSANs). This paper focuses on the issue of facilitating the management, process, and exchange of the numerous and diverse data points generated in multiple PF environments by introducing a framework of a cloud-based context-aware middleware solution as part of a responsive, adaptive, and service-oriented IoT integrated system. More particularly, the paper presents in detail a layered hierarchical structure according to which all functional elements of the system cope with context, while the context awareness operation is accomplished into a cloud-based distributed middleware component that is the core of the entire system acting as a Decision Support System (DSS). Furthermore, as proof of concept, the functionality of the proposed system is studied in real conditions where some evaluation results regarding its performance are quoted.

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confidence: 99%

A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0

2020

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“…For the off-chain part of work, user-friendly tools are going to be developed for each role in the system to monitor the state on the chain and perform their corresponding interactions. On the other hand, it can also be combined with our cloud application DevOps framework, CloudsStorm 7 [21], to construct the witness ecosystem. The vision is to insure the cloud performance and reduce the risks for applications through automated SLA.…”

Section: Discussionmentioning

confidence: 99%

A Blockchain based Witness Model for Trustworthy Cloud Service Level Agreement Enforcement

Zhou

Ouyang

Ren

et al. 2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

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Traditional cloud Service Level Agreement (SLA) suffers from lacking a trustworthy platform for automatic enforcement. The emerging blockchain technique brings in an immutable solution for tracking transactions among business partners. However, it is still very challenging to prove the credibility of possible violations in the SLA before recording them onto the blockchain. To tackle this challenge, we propose a witness model using game theory and the smart contract techniques. The proposed model extends the existing service model with a new role called "witness" for detecting and reporting service violations. Witnesses gain revenue as an incentive for performing these duties, and the payoff function is carefully designed in a way that trustworthiness is guaranteed: in order to get the maximum profit, the witness has to always tell the truth. This is analyzed and proved through game theory using the Nash equilibrium principle. In addition, an unbiased sortition algorithm is proposed to ensure the randomness of the independent witnesses selection from the decentralized witness pool, to avoid possible unfairness or collusion. An auditing mechanism is also introduced in the paper to detect potential irrational or malicious witnesses. We have prototyped the system leveraging the smart contracts of Ethereum blockchain. Experimental results demonstrate the feasibility of the proposed model and indicate good performance in accordance with the design expectations.

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“…We also believe our witness model based on blockchain can be applied in other scenarios, where originally only two roles are involved in a contract. For the future work, we are going to implement the whole system and combined with our cloud Application DevOps framework, CloudsStorm 3 [15], to construct the witness ecosystem. The vision is to insure the cloud performance for applications through automated and trustworthy SLA.…”

Section: Discussionmentioning

confidence: 99%

Trustworthy Cloud Service Level Agreement Enforcement with Blockchain Based Smart Contract

Zhou

Laat

Zhao

2018

2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)

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Cloud Service Level Agreement (SLA) is challengeable due to lacking a trustworthy platform. This paper presents a witness model to credibly enforce the cloud service level agreement. Through introducing the witness role and using the blockchain based smart contract, we solve the trust issues about who can detect the service violation, how the violation is confirmed and the compensation is guaranteed. In this model, a verifiable consensus sortition algorithm proposed by us is firstly leveraged to select independent witnesses to form a witness committee. They are responsible for a specific service level agreement and get paid by monitoring and detecting service violation. Through carefully designing the witness' payoff function in the agreement, we further leverage game theory to analyze and prove that it is not the witness itself is trustworthy. Instead, the witness has to tell the truth because of its greedy nature, which is the desire to maximize its own revenue. As long as the service violation is confirmed by the witness committee, the compensation is automatically transferred to the customer by the smart contract. Finally, we implement a proof-of-concept prototype with the smart contract of Ethereum blockchain. It demonstrates the feasibility of our model.

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CloudsStorm: An Application-Driven Framework to Enhance the Programmability and Controllability of Cloud Virtual Infrastructures

Cited by 12 publications

References 15 publications

A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0

A Context-Aware Middleware Cloud Approach for Integrating Precision Farming Facilities into the IoT toward Agriculture 4.0

A Blockchain based Witness Model for Trustworthy Cloud Service Level Agreement Enforcement

Trustworthy Cloud Service Level Agreement Enforcement with Blockchain Based Smart Contract

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