Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems

Xu, Minxian; Buyya, Rajkumar

doi:10.1145/3234151

Cited by 53 publications

(35 citation statements)

References 48 publications

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“…Cloud computing has the potential to transform a large part of the IT industry and to make the software even more attractive as a service as well as to shape the way IT hardware is designed, utilized, and purchased [1]. The success of any cloud management software critically depends on the flexibility, scale, and efficiency with which it can utilize the underlying hardware resources while providing necessary performance isolation [2].…”

Section: Introductionmentioning

confidence: 99%

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

et al. 2019

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Cloud computing is a paradigm that ensures the flexible, convenient and on-demand provisioning of a shared pool of configurable network and computing resources. Its services can be offered by either private or public infrastructures, depending on who owns the operational infrastructure. Much research has been conducted to improve a cloud’s resource provisioning techniques. Unfortunately, sometimes an abrupt increase in the demand for cloud services results in resource shortages affecting both providers and consumers. This uncertainty of resource demands by users can lead to catastrophic failures of cloud systems, thus reducing the number of accepted service requests. In this paper, we present Bouncer—a workload admission control scheme for cloud services. Bouncer works by ensuring that cloud services do not exceed the cloud infrastructure’s threshold capacity. By adopting an application-aware approach, we implemented Bouncer on software-defined network (SDN) infrastructure. Furthermore, we conduct an extensive study to evaluate our framework’s performance. Our evaluation shows that Bouncer significantly outperforms the conventional service admission control schemes, which are still state of the art.

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Section: Introductionmentioning

confidence: 99%

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

et al. 2019

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“…Various algorithms and controllers have been employed to extend the brownout-concept as originally envisioned, including how it can be used to optimize both service delivery [9], [10], [11], [12], [13] and cloud infrastructure power consumption [14], [15], [16]. These results validate the claim that great utility and efficiency increases can be made using a qualityreduction approach.…”

Section: Related Workmentioning

confidence: 72%

Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions

Larsson

Tärneberg

Klein

et al. 2019

2019 IEEE International Conference on Autonomic Computing (ICAC)

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This work addresses two related problems for online services, namely poor resource utilization during regular operating conditions, and low throughput, long response times, or poor performance under periods of high system load. To address these problems, we introduce our notion of qualityelasticity as a manner of dynamically adapting response qualities from software services along a fine-grained spectrum. When resources are abundant, response quality can be increased, and when resources are scarce, responses are delivered at a lower quality to prioritize throughput and response times. We present an example of how a complex online shopping site can be made quality-elastic. Experiments show that, compared to state of the art, improvements in throughput (57% more served queries), lowered response times (8 time reduction for 95 th percentile responses), and an estimated 40% profitability increase can be made using our quality-elastic approach. When resources are abundant, our approach may achieve upwards of twice as high resource utilization as prior work in this field.

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“…With the unlimited extension of resource sharing and a better user experience, cloud computing has become one of the hottest IT research issues in recent years and its huge commercial value is gradually emerging [1,2]. However, cloud computing systems have encountered serious trust and security problems.…”

Section: Introductionmentioning

confidence: 99%

Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

Wu²,

Cao

et al. 2021

J Cloud Comp

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Through virtualization and resource integration, cloud computing has expanded its service area and offers a better user experience than the traditional platforms, along with its business operation model bringing huge economic and social benefits. However, a large amount of evidence shows that cloud computing is facing with serious security and trust crisis, and building a trust-enabled transaction environment has become its key factor. The traditional cloud trust model usually adopts a centralized architecture, which causes large management overhead, network congestion and even single point of failure. Furthermore, due to a lack of transparency and traceability, trust evaluation results cannot be fully recognized by all participants. Blockchain is a new and promising decentralized framework and distributed computing paradigm. Its unique features in operating rules and traceability of records ensure the integrity, undeniability and security of the transaction data. Therefore, blockchain is very suitable for constructing a distributed and decentralized trust architecture. This paper carries out a comprehensive survey on blockchain-based trust approaches in cloud computing systems. Based on a novel cloud-edge trust management framework and a double-blockchain structure based cloud transaction model, it identifies the open challenges and gives directions for future research in this field.

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Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems

Cited by 53 publications

References 48 publications

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions

Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

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