Resource allocation in cloud virtual machines based on empirical service traces

Lin, Ching-Huang; Lu, Chien-Tung; Chen, Ming-Fong; Li, Jung-Shian

doi:10.1002/dac.2607

Cited by 6 publications

(5 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, virtual nodes can also satisfy the requirements of cloud‐based experiments. We have started the initial research on this issue . In phase 5 of Testbed@TWISC, we have deployed some VMWare and Xen servers to host virtual nodes for supporting user experiments. Better user experience: By observing utilization, we found that node shortage is the most crucial area of concern.…”

Section: Testbed@twiscmentioning

confidence: 86%

See 1 more Smart Citation

Testbed@TWISC: A network security experiment platform

Tsai

Yang

2017

Int J Communication

View full text Add to dashboard Cite

Summary As the internet continues to grow in width and depth, its very architecture brings many challenges in network research. One significant issue is cybersecurity. Owing to the characteristics of network connectivity, malicious actions may cause losses during information exchanges in communication. Therefore, studying suspicious behaviors and covering potential exploits are necessary to protect networked computers. To determine possible threats, researchers need an experimental environment that enables them to explore and practice. A network emulation testbed provides such a platform to fulfill these purposes. This paper introduces Testbed@TWISC, a large‐scale network emulation testbed on Taiwan's research and education network that supported open research and cybersecurity education for almost 10 years. The paper reviews this testbed's origination, development, and operation experiences. Several findings and open issues of the testbed are also discussed. Readers who plan to build network security testbeds may find useful information in this paper for a case study.

show abstract

Section: Testbed@twiscmentioning

confidence: 86%

“…We have started the initial research on this issue. 49,50 In phase 5 of Testbed@TWISC, we have deployed some VMWare and Xen servers to host virtual nodes for supporting user experiments. 3.…”

Section: Planned Improvementmentioning

confidence: 99%

Testbed@TWISC: A network security experiment platform

Tsai

Yang

2017

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Ch.-H. Lin, Ch.-T. Lu, Y.-H. Chen, and J.-Sh. Li explored the behavior of the virtual machine according to their actual service for resource usage optimization in [19]. For the solution of the virtual machine allocation problem, an ideal threshold was introduced according to the probability distribution function so that for every virtual machine the total CPU utilization is reduced and the VM execution SLA is accomplished.…”

Section: B Target Resourcementioning

confidence: 99%

Resource Allocation Techniques in Cloud Computing: A Review and Future Directions

Manzoor

Abid

Farooq

et al. 2020

ELEKTRON ELEKTROTECH

View full text Add to dashboard Cite

Cloud computing has become a very important computing model to process data and execute computationally concentrated applications in pay-per-use method. Resource allocation is a process in which the resources are allocated to consumers by cloud providers based on their flexible requirements. As the data is expanding every day, allocating resources efficiently according to the consumer demand has also become very important, keeping Service Level Agreement (SLA) between service providers and consumers in prospect. This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. In the light of the uniqueness of the models and techniques, the main aim of the resource allocation is to limit the overhead/expenses associated with it. This research aims to present a comprehensive, structured literature review on different aspects of resource allocation in cloud computing, including strategic, target resources, optimization, scheduling and power. More than 50 articles, between year 2007 and 2019, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and they are reviewed under clearly defined objectives. It presents a topical taxonomy of resource allocation dimensions, and articles under each category are discussed and analysed. Lastly, salient future directions in this area are discussed.

show abstract

“…Lin et al [127] focus on the cloud providers to efficiently utilize resources by fixing VM arrangement to the cloud users for IaaS by historical empiric service data traces. The foremost influences are to describe a problem of VM allocation and define the appropriate beta distribution of the CPU component by the use of empirical data collection to resolve the issue.…”

Section: Utilization Aware Resource Allocationmentioning

confidence: 99%

Recent advancements in resource allocation techniques for cloud computing environment: a systematic review

et al. 2016

View full text Add to dashboard Cite

There are two actors in cloud computing environment cloud providers and cloud users. On one hand cloud providers hold enormous computing resources in the cloud large data centers that rent the resources out to the cloud users on a pay-per-use basis to maximize the profit by achieving high resource utilization. On the other hand cloud users who have applications with loads variation and lease the resources from the providers they run their applications within minimum expenses. One of the most critical issues of cloud computing is resource management in infrastructure as a service (IaaS). Resource management related problems include resource allocation, resource adaptation, resource brokering, resource discovery, resource mapping, resource modeling, resource provisioning and resource scheduling. In this review we investigated resource allocation schemes and algorithms used by different researchers and categorized these approaches according to the problems addressed schemes and the parameters used in evaluating different approaches. Based on different studies considered, it is observed that different schemes did not consider some important parameters and enhancement is required to improve the performance of the existing schemes. This review contributes to the existing body of research and will help the researchers to gain more insight into resource allocation techniques for IaaS in cloud computing in the future.

show abstract

Resource allocation in cloud virtual machines based on empirical service traces

Cited by 6 publications

References 22 publications

Testbed@TWISC: A network security experiment platform

Testbed@TWISC: A network security experiment platform

Resource Allocation Techniques in Cloud Computing: A Review and Future Directions

Recent advancements in resource allocation techniques for cloud computing environment: a systematic review

Contact Info

Product

Resources

About