Smart CloudBench—A framework for evaluating cloud infrastructure performance

Chhetri, Mohan Baruwal; Chichin, Sergei; Vo, Quoc Bao; Kowalczyk, Ryszard

doi:10.1007/s10796-015-9557-2

Cited by 17 publications

(3 citation statements)

References 13 publications

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“…Another tracing approach was used when suggesting a way to construct integration test scenarios by modeling an application as a graph [286] and using this graph to understand the data flow of it [288]. Also the public cloud providers offer tracing services to understand the different paths within a complex application like AWS X-Ray 45 inspired by ray tracing.…”

Section: Distinction To Related Conceptsmentioning

confidence: 99%

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A Simulation Framework for Function as a Service

Manner

2024

Schriften Aus Der Fakultät Wirtschaftsinformatik Und Angewandte Informatik Der Otto-Friedrich-Universität Bamberg

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Serverless Computing is seen as a game changer in operating large-scale applications. While practitioners and researches often use this term, the concept they actually want to refer to is Function as a Service (FaaS). In this new service model, a user deploys only single functions to cloud platforms where the cloud provider deals with all operational concerns – this creates the notion of server-less computing for the user. Nonetheless, a few configurations for the cloud function are necessary for most commercial FaaS platforms as they influence the resource assignments like CPU time and memory. Due to these options, there is still an abstracted perception of servers for the FaaS user. The resource assignment and the different strategies to scale resources for public cloud offerings and on-premise hosted open-source platforms determine the runtime characteristics of cloud functions and are in the focus of this work. Compared to cloud offerings like Platform as a Service, two out of the five cloud computing characteristics improved. These two are rapid elasticity and measured service. FaaS is the first computational cloud model to scale functions only on demand. Due to an independent scaling and a strong isolation via virtualized environments, functions can be considered independent of other cloud functions. Therefore, noisy neighbor problems do not occur. The second characteristic, measured service, targets billing. FaaS platforms measure execution time on a millisecond basis and bill users accordingly based on the function configuration. This leads to new performance and cost trade-offs. Therefore, this thesis proposes a simulation approach to investigate this tradeoff in an early development phase. The alternative would be to deploy functions with varying configurations, analyze the execution data from several FaaS platforms and adjust the configuration. However, this alternative is time-consuming, tedious and costly. To provide a proper simulation, the development and production environment should be as similar as possible. This similarity is also known as dev-prod parity. Based on a new methodology to compare different virtualized environments, users of our simulation framework are able to execute functions on their machines and investigate the runtime characteristics for different function configurations at several cloud platforms without running their functions on the cloud platform at all. A visualization of the local simulations guide the user to choose an appropriate function configuration to resolve the mentioned trade-off dependent on their requirements.

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Section: Distinction To Related Conceptsmentioning

confidence: 99%

“…These black boxes on provider side render an assessment of individual components of a cloud solution based on the used hardware impossible. Tools for a smart comparison of these black boxes are needed [45].…”

Section: Related Workmentioning

confidence: 99%

A Simulation Framework for Function as a Service

Manner

2024

Schriften Aus Der Fakultät Wirtschaftsinformatik Und Angewandte Informatik Der Otto-Friedrich-Universität Bamberg

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“…Cloud computing service providers use heterogeneous hardware resources, offer different server configurations, apply different pricing models and use different virtualization techniques to provision them. In the article BSmart CloudBench -A Framework for Evaluating Cloud Infrastructure Performance,^Baruwal Chhetri et al (2016) proposes a framework called to understand the runtime behavior of cloud infrastructure, helping companies to compare and contrast available offerings during the initial cloud selection phase and monitor performance for service quality assurance during the subsequent cloud consumption phase. This automated, on-demand, and customizable tool has been tested extensively and has the potential to take much of the guesswork out of cloud service acquisition decisions.…”

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confidence: 99%

Emerging service orientations and transformations (SOT)

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Spohrer

2016

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Design of library smart cloud service system based on blockchain technology

Zhen¹

2022

Security and Privacy

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Blockchain is equivalent to a transparent billing, and it eventually becomes a perfect storage or storage technology through many ways. Smart cloud uses internet cloud computing and other computing methods to create a scientific and humanized intelligent service system based on office. This article aims to use blockchain technology to design and study a smart cloud service system suitable for optimizing services and managing libraries. This article proposes that a special algorithm using blockchain technology can effectively improve the performance of all aspects of the smart cloud service system and improve the rating scores of users on the service system. In the experiment, the calculation of different iteration times in different algorithms of the blockchain obtains the experimental comparison chart, and it is obtained that the FUJK3 algorithm is better than the other two algorithms. The algorithm can increase the overall performance of the smart cloud service system by about 10 points, and the user's rating score for the service system by about 15 points.

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Smart CloudBench—A framework for evaluating cloud infrastructure performance

Cited by 17 publications

References 13 publications

A Simulation Framework for Function as a Service

A Simulation Framework for Function as a Service

Emerging service orientations and transformations (SOT)

Design of library smart cloud service system based on blockchain technology

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