Towards a Self-protecting Cloud

Sulistio, Anthony; Reich, Christoph

doi:10.1007/978-3-642-41030-7_28

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…They propose an adaptive resource management solution based on Markov chains and queues, which restores user requirements in case of failure and recovery events. Other solutions include the work of , the work of Sulistio and Reich [2013], and the work of Anisetti et al [2014]. present an advanced solution to the selection of cloud providers on the basis of security and privacy requirements.…”

Section: Service-level Agreement (Sla)mentioning

confidence: 98%

“…Their paper proposes a modeling language and a structured process for security-and privacy-aware selection of cloud providers. Sulistio and Reich [2013] present a solution supporting small-medium enterprises in their migration to the cloud. The service migration approach is based on predefined SLA templates and risk analysis.…”

Section: Service-level Agreement (Sla)mentioning

confidence: 99%

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From Security to Assurance in the Cloud

et al. 2015

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The cloud computing paradigm has become a mainstream solution for the deployment of business processes and applications. In the public cloud vision, infrastructure, platform, and software services are provisioned to tenants (i.e., customers and service providers) on a pay-as-you-go basis. Cloud tenants can use cloud resources at lower prices, and higher performance and flexibility, than traditional on-premises resources, without having to care about infrastructure management. Still, cloud tenants remain concerned with the cloud's level of service and the nonfunctional properties their applications can count on. In the last few years, the research community has been focusing on the nonfunctional aspects of the cloud paradigm, among which cloud security stands out. Several approaches to security have been described and summarized in general surveys on cloud security techniques. The survey in this article focuses on the interface between cloud security and cloud security assurance. First, we provide an overview of the state of the art on cloud security. Then, we introduce the notion of cloud security assurance and analyze its growing impact on cloud security approaches. Finally, we present some recommendations for the development of next-generation cloud security and assurance solutions.

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Section: Service-level Agreement (Sla)mentioning

confidence: 98%

Section: Service-level Agreement (Sla)mentioning

confidence: 99%

From Security to Assurance in the Cloud

et al. 2015

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Autonomic cloud computing based management and security solutions: State‐of‐the‐art, challenges, and opportunities

Agrawal

2021

Trans Emerging Tel Tech

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The advancements and rapid adoption of service oriented architecture, utility computing, virtualization, etc., have emerged in a new computing paradigm called cloud computing, in the last few years. Cloud computing enables on-demand delivery of data, software, and hardware in the form of services over the Internet. But the growing scale of cloud-users and type-of-services urge for an autonomous environment to automate the highly complex cloud environment in a suitable way to improve the overall management of the cloud systems. To counter these automation related issues, autonomic computing (AC) emerges as a potential solution to optimize the performance of cloud computing.The merge of these two prominent technologies gives rise to a new technological domain called autonomic cloud computing (ACC). In this survey article, the existing AC assisted solutions for cloud computing is broadly categorized into two groups, namely features based and parameters based. Features based solutions are further classified into management (of services, workload, and resources) and security aware solutions. Similarly, parameters based solutions are grouped into quality-of-service aware and performance management solutions. Finally, the comparative analysis of state-of-the-art ACC approaches with respect to the approach referred, performance metrics, outcome, and the derived inference is also presented to have an in-depth understanding of the existing literature. Overall, the work excites the research community to design the effective autonomous solutions for ACC resources and services. Additionally, several research gaps and challenges are identified and discussed in this article based on the study with a focus on the future research directions.

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