Coordinating Vertical Elasticity of both Containers and Virtual Machines

Al-Dhuraibi, Yahya; Zalila, Faiez; Djarallah, Nabil Bachir; Merle, Philippe

doi:10.5220/0006652403220329

Cited by 15 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Al-Dhuraibi et al [16] have presented to coordinate the container as well as virtual machine for vertical elasticity. Authors have performed an auto-scaling mechanism for containerized applications so that their computing resources can be adjusted at both the container and VM levels with an elastic controller's help according to the workload.…”

Section: Related Workmentioning

confidence: 99%

Horizontal Scaling for Containerized Application Using Hybrid Approach

Yadav¹,

Raj²,

Akarte³

et al. 2020

ISI

View full text Add to dashboard Cite

Cloud computing is a paradigm to provide services to end-users through the Internet. The availability of services to end-users is dependent on various factors such as the availability of computing resources as well as the number of users to access those services. To manage the real-time fluctuating workload cloud providers use elasticity mechanisms. Elasticity is one of the important characteristics of cloud computing that dynamically allocates computing resources to manage the fluctuating workload. The failure of allocation/de-allocation of computing resources at the right moment leads to SLA violation, degradation of services performance, maximum power consumption, minimum throughput, and maximum response time. To address these challenges, we have proposed a hybrid approach to perform horizontal elasticity. The proposed approach uses both reactive and proactive approaches for provisioning/de-provisioning of computing resources. The simulation results of the proposed model show that performance of system has improved in terms of CPU utilization, response time, and throughput.

show abstract

Section: Related Workmentioning

confidence: 99%

Horizontal Scaling for Containerized Application Using Hybrid Approach

Yadav¹,

Raj²,

Akarte³

et al. 2020

ISI

View full text Add to dashboard Cite

show abstract

“…VM migration is a process of relocation of a running VM from one physical machine to another without affecting the execution of user application. Based on literature [101] [102] [106] [164], VM migration consists of the following components: i) technique, ii) VM technology, iii) optimization criteria, iv) network technology and v) storage migration as shown in Figure 16.…”

Section: Vm Migration Based Taxonomymentioning

confidence: 99%

A Taxonomy and Future Directions for Sustainable Cloud Computing

2018

View full text Add to dashboard Cite

The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing exponentially. The next generation of cloud computing must be energy-efficient and sustainable to fulfil the end-user requirements which are changing dynamically. Presently, cloud providers are facing challenges to ensure the energy efficiency and sustainability of their services. The usage of large number of cloud datacenters increases cost as well as carbon footprints, which further effects the sustainability of cloud services. In this paper, we propose a comprehensive taxonomy of sustainable cloud computing. The taxonomy is used to investigate the existing techniques for sustainability that need careful attention and investigation as proposed by several academic and industry groups. Further, the current research on sustainable cloud computing is organized into several categories: application design, sustainability metrics, capacity planning, energy management, virtualization, thermal-aware scheduling, cooling management, renewable energy and waste heat utilization. The existing techniques have been compared and categorized based on the common characteristics and properties. A conceptual model for sustainable cloud computing has been proposed along with discussion on future research directions.

show abstract

“…Table 1 and Table 2 presents a comparison of the collected papers, presenting some of their main characteristics, and pointing out some of their gaps. Based on the selected papers, we can identify that despite the elasticity being proposed for cloud computing, and being employed in reactive [37] and proactive [20,38] approaches, the same can also be employed in other areas such as energy [12], IoT [21] and C-RAN [19]. In this way, we can see the potential of elasticity to be extended to other contexts, such as human resources.…”

Section: Related Workmentioning

confidence: 99%

Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals

Fischer

Righi

Costa

et al. 2019

Sensors

View full text Add to dashboard Cite

Hospitals play an important role on ensuring a proper treatment of human health. One of the problems to be faced is the increasingly overcrowded patients care queues, who end up waiting for longer times without proper treatment to their health problems. The allocation of health professionals in hospital environments is not able to adapt to the demands of patients. There are times when underused rooms have idle professionals, and overused rooms have fewer professionals than necessary. Previous works have not solved this problem since they focus on understanding the evolution of doctor supply and patient demand, as to better adjust one to the other. However, they have not proposed concrete solutions for that regarding techniques for better allocating available human resources. Moreover, elasticity is one of the most important features of cloud computing, referring to the ability to add or remove resources according to the needs of the application or service. Based on this background, we introduce Elastic allocation of human resources in Healthcare environments (ElHealth) an IoT-focused model able to monitor patient usage of hospital rooms and adapt these rooms for patients demand. Using reactive and proactive elasticity approaches, ElHealth identifies when a room will have a demand that exceeds the capacity of care, and proposes actions to move human resources to adapt to patient demand. Our main contribution is the definition of Human Resources IoT-based Elasticity (i.e., an extension of the concept of resource elasticity in Cloud Computing to manage the use of human resources in a healthcare environment, where health professionals are allocated and deallocated according to patient demand). Another contribution is a cost–benefit analysis for the use of reactive and predictive strategies on human resources reorganization. ElHealth was simulated on a hospital environment using data from a Brazilian polyclinic, and obtained promising results, decreasing the waiting time by up to 96.4% and 96.73% in reactive and proactive approaches, respectively.

show abstract

Coordinating Vertical Elasticity of both Containers and Virtual Machines

Cited by 15 publications

References 13 publications

Horizontal Scaling for Containerized Application Using Hybrid Approach

Horizontal Scaling for Containerized Application Using Hybrid Approach

A Taxonomy and Future Directions for Sustainable Cloud Computing

Towards Evaluating Proactive and Reactive Approaches on Reorganizing Human Resources in IoT-Based Smart Hospitals

Contact Info

Product

Resources

About