Autonomic management framework for cloud-based virtual networks

Choi, Taesang; Kodirov, Nodir; Lee, Tae‐Ho; Kim, Doyeon; Lee, Jaegi

doi:10.1109/apnoms.2011.6077011

Cited by 7 publications

(5 citation statements)

References 1 publication

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“…All physical components, from processing and storage devices to network equipment, should be monitored. Most studies in the area agree in considering the percentage of CPU utilization, RAM, storage memory, and statistics of physical network interfaces as the most relevant metrics [2], [3], [5], [6], [7]. As mentioned, network devices must also be monitored, as problems in switches, routers or communication links may affect the cloud topological connectivity.…”

Section: Infrastructurementioning

confidence: 99%

“…Statistics on the network interfaces of VMs are equally relevant. Operations related to creation and migration of VMs or number of active instances are also useful information [2], [3], [5], [6], [7].…”

Section: Infrastructurementioning

confidence: 99%

“…This information can also be useful at network layer in addition to physical and virtual infrastructure layer, as mentioned previously. Performance metrics related to the network level include traditional QoS metrics such as packet duplication, packet loss (OWPL -One-way packet loss, OWLP -One-way loss pattern, IPLR -IP packet loss ratio), delay (OWD -one way delay, RTT -round-trip time, IPTD -IP packet transfer delay, IPDV -IP packet delay variation), IP packet error ratio (IPER) and Spurious IP packet ratio (SPR) [7].…”

Section: Networkmentioning

confidence: 99%

“…For example, in [5], a metric for average SLA violations is obtained based on the average of CPU usage that was not allocated to an application when requested. Monitoring cloud services usage is also relevant due to the elastic nature of cloud environments, associated with the business model "pay-as-you-go", therefore, measuring use and cost become vital aspects [7], [13]. The accounting of services and corresponding revenue allows service providers to adapt pricing and business strategies according to market needs.…”

Section: Customer/providermentioning

confidence: 99%

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A Multidimensional Model for Monitoring Cloud Services

Palhares

Lima

Carvalho

2013

Advances in Intelligent Systems and Computing

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The complexity of monitoring cloud environments and the lack of standards so far urge for a careful analysis, systematizing and understanding of key points involved when assessing the services provided. In this context, this paper proposes a layered model for Cloud Services monitoring, identifying the multiple dimensions of monitoring, while combining the perspectives of service providers and customers. This process involves the identification of relevant parameters and metrics for each monitoring dimension, focusing on monitoring of resources, quality of service, security and service contracts. Taking a stratified view of the problem, this study contributes to achieve a clearer and more efficient approach to cloud services monitoring.

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Section: Infrastructurementioning

confidence: 99%

Section: Infrastructurementioning

confidence: 99%

Section: Networkmentioning

confidence: 99%

Section: Customer/providermentioning

confidence: 99%

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A Multidimensional Model for Monitoring Cloud Services

Palhares

Lima

Carvalho

2013

Advances in Intelligent Systems and Computing

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“…. More number of Cloud Virtual Networks (CVNs) are clustered together [6][9] to form the bigger cloud. Users can manage their own CVN in the cloud.…”

Section: Securing Threatsmentioning

confidence: 99%

Securing Authentication and Trusted Migration of Weblets in the Cloud with Reduced Traffic

Panneerselvam

Sotiriadis

Bessis

et al. 2012

2012 Third International Conference on Emerging Intelligent Data and Web Technologies

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-Cloud computing is making a new revolution in the computing world. Elasticity is one of the key features of the cloud which makes cloud computing further fashionable. Cloud is still in its infant stages and it faces a wide range of security threats. The security downtime of cloud is relatively slowing down the spreading up of cloud computing. This paper focuses on the security threats faced by the weblets during their migration between the cloud and the mobile devices. Weblet migration is an important task during the implementation of elasticity in the cloud. As a primary step, a secure communication channel is designed for the weblet migration by deploying secure shell protocol. Herein, the vulnerabilities in some authentication mechanisms are highlighted and a better way of authenticating the weblets with SFTP (Secure File Transfer Protocol) is suggested. Finally, managing the traffic effectively in the designed channel with the aid of back pressure technique is also covered in this paper.

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