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

Abstract

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.

Dynamic placement of virtual machines using an improved multi‐objective teaching‐learning based optimization algorithm in cloud

“…Numerous studies have been performed to optimize the VMP problem in CDCs 12‐14 . Various objectives in these studies such as maximizing revenue, reducing service costs, maximizing QoS parameters, minimizing network traffic, reducing energy consumption, reducing delay, maximizing utilization, and non‐violation of SLA have been considered 10 . In this regard, various methods have been proposed to address the VMP problem such as deterministic and meta‐heuristic algorithms 12,13 .…”

“…Here, the objective function is developed for placement based on cost reduction. Also, some works with the purpose of reducing the number of active PSs try to reduce energy consumption and cost, but these methods have poor performance by increasing the number of requests 10 . In recent years, some algorithms have dynamically solved the VMP problem with the purpose of reducing traffic on PSs 11 .…”

“…Most previous VMP‐related methods use some QoS metrics to improve performance 6 . There are other approaches that emphasize non‐violation of SLA 10 . In recent years, with the expansion of services and increasing use of service‐oriented architecture, service provision management as one of the fundamental concepts of this architecture has attracted the attention of many researchers 12 .…”

“…In recent years, with the expansion of services and increasing use of service‐oriented architecture, service provision management as one of the fundamental concepts of this architecture has attracted the attention of many researchers 12 . SLA is a contractual instrument for demonstrating a service agreement between a service consumer and a service provider 10 . Services without SLA can be requested, however, there is no guarantee that the services will be able to provide the requested QoS.…”

“…Also, some works with the purpose of reducing the number of active PSs try to reduce energy consumption and cost, but these methods have poor performance by increasing the number of requests. 10 In recent years, some algorithms have dynamically solved the VMP problem with the purpose of reducing traffic on PSs. 11 These methods provide the best solution for VMP with the least need for migration.…”