Policy Management Technique Using Blockchain for Cloud VM Migration

Uchibayashi, Toshihiro; Apduhan, Bernady O.; Shiratori, Norio; Suganuma, Takuo; Hiji, Masahiro

doi:10.1109/dasc/picom/cbdcom/cyberscitech.2019.00073

Cited by 6 publications

(3 citation statements)

References 7 publications

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“…We have proposed and implemented a data-audit mechanism to migrate virtual machines in the cloud [32,33]. Virtual machine migration in the cloud is the physical transfer of virtual machines to another host machine.…”

Section: Data-audit Control Mechanism For Virtual Machinesmentioning

confidence: 99%

Experiments and Evaluation of a Container Migration Data-Auditing System on Edge Computing Environment

et al. 2023

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With the proliferation of IoT sensors and devices, storing collected data in the cloud has become common. A wide variety of data with different purposes and forms are not directly stored in the cloud but are sent to the cloud via edge servers. At the edge server, applications are running in containers and virtual machines to collect data. However, the current deployment and movement mechanisms for containers and virtual machines do not consider any conventions or regulations for the applications and the data it contains. Therefore, it is easy to deploy and migrate containers and virtual machines. However, the problem arises when it is deployed or migrated, which may violate the licensing terms of the contained applications, the rules of the organization, or the laws and regulations of the concerned country. We have already proposed a data-audit control mechanism for the migration of virtual machines. The proposed mechanism successfully controls the unintentional and malicious migration of virtual machines. We expect similar problems with containers to occur as the number of edge servers increases. Therefore, we propose a policy-based data-audit control system for container migration. The proposed system was verified in the implemented edge computing environment and the results showed that adding the proposed data-audit control mechanism had a minimal impact on migration time and that the system was practical enough. In the future, we intend to conduct verification not in a very compact and short-range environment such as this one but on an existing wide-area network.

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Section: Data-audit Control Mechanism For Virtual Machinesmentioning

confidence: 99%

Experiments and Evaluation of a Container Migration Data-Auditing System on Edge Computing Environment

et al. 2023

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“…A policy management technique based on a block chain management host was implemented for speedy and secure policy management, although VM migration consumed more time as compared to conventional algorithms. 67 The aforementioned algorithms achieve their results with the trade-off of energy efficiency.…”

Section: Existing Solutions To Overcome the Mentioned Challengesmentioning

confidence: 99%

Journey from cloud of things to fog of things: Survey, new trends, and research directions

et al. 2022

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With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer satisfactory services for latency-sensitive and real-time applications due to high latency and scalability issues. Hence, an emerging computing paradigm named as fog/edge computing was evolved, to offer services close to the data source and optimize the quality of services (QoS) parameters such as latency, scalability, reliability, energy, privacy, and security of data. This article presents the evolution in the computing paradigm from the client-server model to edge computing along with their objectives and limitations. A state-of-the-art review of Cloud Computing and Cloud of Things (CoT) is presented that addressed the techniques, constraints, limitations, and research challenges. Further, we have discussed the role and mechanism of fog/edge computing and Fog of Things (FoT), along with necessitating amalgamation with CoT. We reviewed the several architecture, features, applications, and existing research challenges of fog/edge computing. The comprehensive survey of these computing paradigms offers the depth knowledge about the various aspects, trends, motivation, vision, and integrated architectures. In the end, experimental tools and future research directions are discussed with the hope that this study will work as a stepping-stone in the field of emerging computing paradigms. K E Y W O R D Scloud computing, internet of things, cloud of things, fog computing, latency INTRODUCTIONDifferent computing paradigms have evolved over the decades as per the needs in various situations. The concept of the Cloud computing paradigm has evolved from distributed systems and it has gained attention by offering a plethora of services to end-users anywhere and anytime on pay per use basis. It has also become the business model in the last decade due to well-known characteristics like scalability, multi-tenant environment, virtualization, and resource pooling. It is observed that a large number of industries, government, as well as private organization, have shifted their applications and data to the cloud platform. Further, the Cloud is also playing a significant role in the advancement of Internet of Things (IoT) applications. As per the transformation and movement in ubiquitous computing, we need the integration

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“…1) Cloud VM Migration: Uchibayashi et al [9] placed policies in blockchain management host to manage cloud VM migration. This arrangement will remove restrictions on the source and destination host and speed up the migration process.…”

Section: Access Control Policies Using Blockchainmentioning

confidence: 99%

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

Babu¹,

Babu²

2021

ISI

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Blockchain technology is getting more and more pertinent to solve most of the digital problems that we face today. Blockchain is notable for its prominent features like immutability, decentralization, consensus, privacy, and security. However, blockchain is still suffering from different barriers like quantum attacks, scalability problems, integration problems, incompetence to face bigdata, storage problems, and so on. The main aim of this study was to find out the scope, various problems raised, and the applicability of blockchain technology when integrated with different computing paradigms like cloud computing, edge computing, fog computing, osmotic computing, big data computing, and quantum computing. To conduct this study, we have surveyed different research articles in the combination of blockchain technology and computing paradigms. Based on this survey, we have mentioned the contemporary research works, challenges, and a list of possible research opportunities and solutions.

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Policy Management Technique Using Blockchain for Cloud VM Migration

Cited by 6 publications

References 7 publications

Experiments and Evaluation of a Container Migration Data-Auditing System on Edge Computing Environment

Experiments and Evaluation of a Container Migration Data-Auditing System on Edge Computing Environment

Journey from cloud of things to fog of things: Survey, new trends, and research directions

The Purview of Blockchain Appositeness in Computing Paradigms: A Survey

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