Response time for cloud computing providers

Alhamad, Mohammed; Dillon, Tharam S.; Wu, Chen; Chang, Elizabeth

doi:10.1145/1967486.1967579

Cited by 26 publications

(16 citation statements)

References 16 publications

(12 reference statements)

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“…Generally, the service response time to users in a cloud environment should be shorter than 0.77 s, as indicated in [17]. Additionally, it is known that the cluster size must be increased when CPU usage reaches 80%, and decreased once again when usage falls below 50% [15].…”

Section: Cluster Managementmentioning

confidence: 99%

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Optimal Cluster Expansion-Based Intrusion Tolerant System to Prevent Denial of Service Attacks

et al. 2017

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Abstract:In this study, we propose an optimal cluster expansion-based intrusion-tolerant system (ITS) that can maintain quality of service (QoS) under a massive denial of service (DoS) attack. Our proposed scheme conserves resources while maintaining good QoS by optimally increasing and decreasing cluster size. To evaluate the performance of the proposed scheme, we use a CloudSim simulator and compare our proposed scheme with an existing conventional adaptive cluster transformation (ACT) scheme. Our simulation results show that the proposed scheme outperforms the conventional ACT scheme in terms of better QoS and lower resource consumption.

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Section: Cluster Managementmentioning

confidence: 99%

“…VM processing element capacity (PE) 512 MIPS Maximum number of VMs in system 10,000 Highest acceptable response time [17] 0.77 s Initial number of VMs 14 VM cleansing time [7] 146 s VM exposure time 900 s VM attack follows a Poisson distribution with µ 0.000485…”

Section: Parameters and Descriptions Valuesmentioning

confidence: 99%

Optimal Cluster Expansion-Based Intrusion Tolerant System to Prevent Denial of Service Attacks

et al. 2017

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“…Alhamad et al [7] develops a performance metrics for the measurement and comparison of the scalability of the resources of virtualization on the cloud data centers. Author carried out a number of experiments on Amazon EC2 cloud at different times.…”

Section: Related Workmentioning

confidence: 99%

A Scheme to Reduce Response Time in Cloud Computing Environment

Zia¹,

Khan²

2013

IJMECS

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Abstract-The area of cloud computing has become popular from the last decade due to its enormous benefits such as lower cost, faster development and access to highly available resources. Apart from these core benefits some challenges are also associated with it such as QoS, security, trust and better resource management. These challenges are caused by the infrastructure services provided by various cloud vendors on need basis. Empirical studies on cloud computing report that existing quality of services solutions are not enough as well as there are still many gaps which need to be filled. Also, there is a dire need to develop appropriate frameworks to improve response time of the clouds. In this paper, we have made an attempt to fill this gap by proposing a framework that focuses on improving the response time factor of the QoS i n t h e c l o u d e n v i r o n m e n t such as reliability and scalability. We believe that if the response time are communicating effectively and have awareness of the nearest and best possible resource available then the remaining issues pertaining to QoS can be reduced to a greater extent.

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“…By varying the characteristics of the generated workload, we analyse usage patterns of physical resources, maximum achievable throughput, and the response time [6]. Physical resource usage patterns are observed to identify resources that act as bottlenecks leading to system saturation.…”

Section: A Httperf : a Case Studymentioning

confidence: 99%

Resource Usage Monitoring in Clouds

Dhingra

Lakshmi

Nandy

2012

2012 ACM/IEEE 13th International Conference on Grid Computing

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Abstract-Monitoring of infrastructural resources in clouds plays a crucial role in providing application guarantees like performance, availability, and security. Monitoring is crucial from two perspectives -the cloud-user and the service provider. The cloud user's interest is in doing an analysis to arrive at appropriate Service-level agreement (SLA) demands and the cloud provider's interest is to assess if the demand can be met. To support this, a monitoring framework is necessary particularly since cloud hosts are subject to varying load conditions. To illustrate the importance of such a framework, we choose the example of performance being the Quality of Service (QoS) requirement and show how inappropriate provisioning of resources may lead to unexpected performance bottlenecks. We evaluate existing monitoring frameworks to bring out the motivation for building much more powerful monitoring frameworks. We then propose a distributed monitoring framework, which enables fine grained monitoring for applications and demonstrate with a prototype system implementation for typical use cases.

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Response time for cloud computing providers

Cited by 26 publications

References 16 publications

Optimal Cluster Expansion-Based Intrusion Tolerant System to Prevent Denial of Service Attacks

Optimal Cluster Expansion-Based Intrusion Tolerant System to Prevent Denial of Service Attacks

A Scheme to Reduce Response Time in Cloud Computing Environment

Resource Usage Monitoring in Clouds

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