Server Utilization-Based Smart Temperature Monitoring System for Cloud Data Center

Sahana, Sudipta; Bose, Rajesh; Sarddar, Debabrata

doi:10.1007/978-981-10-3953-9_30

Cited by 8 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At this juncture, therefore, presence of appropriate Cloud Computing monitoring system takes on an increased significance. In research studies [8] [9], the authors discuss and propose methods to streamline power consumption using algorithms that balance server loads in Cloud Computing data centers. Incidentally, the aspect of data retrieval also begins to take on a greater significance when taken in context of many millions of users who rely on Cloud Computing to store data.…”

Section: Related Workmentioning

confidence: 99%

“…As noted and documented in research conducted [11], for Cloud Computing data centers to conserve power at every possible stage, power usage and heat sensitivity issues need to be addressed. Research studies [8] [9] concluded that rationalizing power consumption and, thus, bring in degree of control over heat emissions resulting from peak loads on servers, can be possible using proposed load balancing techniques. In tandem with how server load balancing optimization is approached, considering that Cloud Computing networks has to handle search requests from system applications, software, or direct consumer requests, search engine optimization is considered extremely important.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Advancing Cloud Network Management with Smart Monitoring Technique

Sahana*,

Bose,

Sarddar

2020

IJRTE

Self Cite

View full text Add to dashboard Cite

The proliferation of Cloud Computing has opened new and attractive offerings for consumers. Cloud Service Providers promote and market packages of cloud computing services that cater to diverse opportunities and user applications. While this has obvious advantages, there are certain factors that are a cause for concern. Monitoring the underlying infrastructure that supports the entire fabric of cloud computing is an aspect that requires a great deal of attention. The aspect of monitoring takes on a great deal of significance when performance and robustness of cloud service on offer is taken into consideration. Although research has been conducted into various cloud computing monitoring techniques, there is scope and room yet for an integrated cloud monitoring solution that can fulfill the requirements of cloud administrators to ensure optimal performance of the underlying infrastructure of a cloud computing network. In this paper, we propose a unified monitoring model that is essentially a composite framework involving hardware and network layers. Studies conducted during our experiments suggest that our unified cloud monitoring approach can significantly aid in reducing overall carbon emissions while helping meeting compliance and audit norms by ensuring that the underlying cloud infrastructure is monitored closely

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Advancing Cloud Network Management with Smart Monitoring Technique

Sahana*,

Bose,

Sarddar

2020

IJRTE

Self Cite

View full text Add to dashboard Cite

show abstract

“…Moreover, trace-driven experiments have been conducted on real clouds to test the performance of WAGS technique and experimental results show that the proposed technique performs effectively in terms of energy consumption and latency. Sahana et al [152] proposed a Server Utilization-based Smart Temperature Monitoring (SUSTM) technique, which maintains the cooling of CDC. In this technique, the concept of Mean Utilization Factor is used to find and control the amount of cool air to maintain the operating temperature in and around the servers within a CDC.…”

Section: Related Studiesmentioning

confidence: 99%

“…Based on existing literature [150][151][152][153][154][155], cooling management consists of the following components: i) cooling management techniques and ii) cooling plant as shown in Figure 25. Each of these taxonomy elements are discussed below along with relevant examples.…”

Section: Cooling Management 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

“…There are various methods which help to bring down rise in temperatures of servers in cloud data center infrastructure. Sahana et all, approached the problem in a new lightconcentrating on server utilization to regulate the temperature [9]. They introduced Mean Utilization Factor concept that allows detecting and regulating the amount of cool air that is to be channelled in and around the servers within a cloud data center to bring down the operating temperature…”

Section: Literature Reviewmentioning

confidence: 99%

Cold LOGIK and RDHX Solution for Data Center Energy Optimization

Suresh¹,

Murugan²

2018

IJET

View full text Add to dashboard Cite

In all types of data center, keeping the right temperature with less cost and energy is one of important objective as energy saving is crucial in increased data driven industry. Energy saving is global focus for all industry. In Information technology, more than 60% of energy is utilized in data centers as it needs to be up and running. As per Avocent data center issue study, across globe more than 54% of data centers are in redesigning process to improve their efficiency and reduce operational cost and energy consumption. Data center managers and operators major challenge was how to maintain the temperature of servers with less power and energy. When the densities of data center energy nearing 5 kilowatts (kW) per cabinet, organizations are trying to find a way to manage the heat through latest technologies. Power usage per square can be reduced by incorporating liquid-cooling devices instead of increasing airflow volume. This is especially important in a data center with a typical under-floor cooling system. This research paper uses Rear-Door Heat eXchangers (RDHx) and cool logic solutions to reduce energy consumption. It gives result of implementation of Cold Logik and RDHx solution to Data center and proves that how it saves energy and power. Data center has optimized space, cooling, power and operational cost by implementing RDHx technology. This will enable to add more servers without increasing the space and reduce cooling and power cost. It also saves Data center space from heat dissipation from servers.

show abstract

Server Utilization-Based Smart Temperature Monitoring System for Cloud Data Center

Cited by 8 publications

References 11 publications

Advancing Cloud Network Management with Smart Monitoring Technique

Advancing Cloud Network Management with Smart Monitoring Technique

A Taxonomy and Future Directions for Sustainable Cloud Computing

Cold LOGIK and RDHX Solution for Data Center Energy Optimization

Contact Info

Product

Resources

About