Deployment Strategies for Distributed Applications on Cloud Computing Infrastructures

Veen, Jan Sipke van der; Lazovik, Elena; Makkes, Marc X.; Meijer, Robert

doi:10.1109/cloudcom.2013.136

Cited by 3 publications

(2 citation statements)

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“…However, the task offloading to cloud computing also brings a new challenge: using the pay-per-use [6,7] model to adjust the resource size according to different workloads, which may cause an impairment in the quality of service (QoS) and resource utilization [8]. Especially for the delay sensitivity of HCR tasks, the complexity distribution architecture in cloud computing (e.g., Hadoop and Spark) is insufficient.…”

Section: Introductionmentioning

confidence: 99%

HCRCaaS: A Handwritten Character Recognition Container as a Service Based on QoS Guarantee Algorithm

Gao

Jin

2018

Scientific Programming

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Handwritten character recognition (HCR) is a mainstream mobile device input method that has attracted significant research interest. Although previous studies have delivered reasonable recognition accuracy, it remains difficult to directly embed the advanced HCR service into mobile device software and obtain excellent but fast results. Cloud computing is a relatively new online computational resource provider which can satisfy the elastic resource requirements of the advanced HCR service with high-recognition accuracy. However, owing to the delay sensitivity of the character recognition service, the performance loss in the traditional cloud virtualization technology (e.g., kernel-based virtual machine (KVM)) may impair the performance. In addition, the improper computational resource scheduling in cloud computing impairs not only the performance but also the resource utilization. Thus, the HCR online service is required to guarantee the performance and improve the resource utilization of the HCR service in cloud computing. To address these problems, in this paper, we propose an HCR container as a service (HCRCaaS) in cloud computing. We address several key contributions: (1) designing an HCR engine on the basis of deep convolution neutral networks as a demo for an advanced HCR engine with better recognition accuracy, (2) providing an isolated lightweight runtime environment for high performance and easy expansion, and (3) designing a greedy resource scheduling algorithm based on the performance evaluation to optimize the resource utilization under a quality of service (QoS) guaranteeing. Experimental results show that our system not only reduces the performance loss compared with traditional cloud computing under the advanced HCR algorithm but also improves the resource utilization appropriately under the QoS guaranteeing. This study also provides a valuable reference for other related studies.

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Section: Introductionmentioning

confidence: 99%

HCRCaaS: A Handwritten Character Recognition Container as a Service Based on QoS Guarantee Algorithm

Gao

Jin

2018

Scientific Programming

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“…Antonis et al in [72] presented an architecture for evaluating, collecting, modeling and evaluating of distributed application deployment in the multi-clouds. Jan et al in [73] presented four dierent strategies for deploying on the infrastructure of the cloud computing. Stanisªaw et al in [74] presented the method of constructing the real-time applications for the IaaS model of cloud computing.…”

Section: Cloud Computing Applicationsmentioning

confidence: 99%

On Service Level Agreement Assurance in Cloud Computing Data Centers

Zainelabden

Ibrahim

Kliazovich

et al. 2016

2016 IEEE 9th International Conference on Cloud Computing (CLOUD)

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SaaS is providing cloud applications like all the normal classes of applications of normal computing like the web applications, le applications, email applications, real-time applications, highly interactive applications, massive data analysis applications, high performance computing applications and mobile cloud applications. Cloud computing uses the internet data centers to host the applications and data storage and also the processing power in the addition to the virtualization. Clouds are a huge stack of easily and usefully virtualized services and resources (Like software, platform and hardware).These resources are used by people all over the world and dynamically congured to accommodate more and more load and scale to a huge number of users. This stack of resources and services is delivered to the customers by a pay-per-use model which veries that the services provided by the cloud providers are provided by means of service level agreements.In this master thesis, we present an assurance to the service level agreement between the cloud users and the cloud services providers by trying to assess and evaluate the cloud computing data centers services and applications provided to the cloud users. Also we introduce mathematical test models for the web, le, real time and distributed applications. We can use these test models to see the behavior of the applications over a long time.In this master thesis, we classify the cloud applications into 8 dierent classes of applications and then identify the failures and problems which aect these cloud applications.We classify also all failures types which may occur in cloud data centers like network failures, physical server failures, VM unavailability, individual failures racks and individual component failures. We got the important metrics for each class of applications and developed real scenarios for four classes. Then, we introduce dierent failures to these scenarios to see what is the impact in the most important metrics of applications. Then, we simulate these scenarios in Network Simulator 2. Finally, we solved and mitigated the failures in simulation by using two failure mitigation techniques. The rst one is the virtual machine migration and redundancy. The second technique is the forward error correction.Experimental results acquired over the course of this master's thesis give an assessment and verication of the cloud applications services provided by the cloud provider data centers. And also verify that the cloud data center provider gives their users the best services performance and high QoS, we use this verication to assure SLA response times metric and a good quality and performance of services as mentioned inside the SLA document. This verication will be given to the cloud customers.iii iv Acknowledgment "Today don't beg, don't ask, Just thank God in silence; for all the blessings in your life. " Paulo CoelhoThe road to want something is always guided by unseen strong currents of support from people who believe that you will do it what you have set...

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