Energy efficiency is one of the main challenge hat data centers are facing nowadays. A considerable portion of the consumed energy in these environments is wasted because of idling resources. To avoid wastage, offerin...
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ISBN:
(纸本)9781467328920
Energy efficiency is one of the main challenge hat data centers are facing nowadays. A considerable portion of the consumed energy in these environments is wasted because of idling resources. To avoid wastage, offering services with variety of SLAs (with different prices and priorities) is a common practice. The question we investigate in this research is how the energy consumption of a data center that offers various SLAs can be reduced. To answer this question we propose an adaptive energy management policy that employs virtual machine(VM) preemption to adjust the energy consumption based on user performance requirements. We have implementedour proposed energy management policy in Haize a as a real scheduling platform for virtualized data centers. Experimental results reveal 18% energy conservation (up to 4000 kWh in 30 days) comparing with other baseline policies without any major increase in SLA violation.
cloud data centres (CDCs) are the backbone infrastructures of modern digital society, but they also consume huge amounts of energy and generate heat. To manage CDC resources efficiently, we must consider the complex i...
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ISBN:
(数字)9788396960160
ISBN:
(纸本)9798350359718
cloud data centres (CDCs) are the backbone infrastructures of modern digital society, but they also consume huge amounts of energy and generate heat. To manage CDC resources efficiently, we must consider the complex interactions between diverse workloads and data centre components. However, most existing resource management systems rely on simple and static rules that fail to capture these complex interactions. Therefore, we require new data-driven Machine learning-based resource management approaches that can efficiently capture the interdependencies between parameters and guide resource management systems. This review describes the in-depth analysis of the existing resource management approaches in CDCs for energy and thermal efficiency. It mainly focuses on learning-based resource management systems in data centres and also identifies the need for integrated computing and cooling systems management. A taxonomy on energy and thermal efficient resource management in data centres is proposed. Furthermore, based on this taxonomy, existing resource management approaches from server level, data centre level, and cooling system level are discussed. Finally, key future research directions for sustainable cloudcomputing services are proposed.
Mobile and cloudcomputing are converging as the prominent technologies that are leading the change to the post personal computing (PC) era. Computational offloading and data binding are the core techniques that foste...
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ISBN:
(纸本)9781479944248
Mobile and cloudcomputing are converging as the prominent technologies that are leading the change to the post personal computing (PC) era. Computational offloading and data binding are the core techniques that foster to elastically augment the capabilities of low-power devices, such as smartphones. Mobile applications may be bonded to cloud resources by following a task delegation or code offloading criteria. In a delegation model, a handset can utilize the cloud in a service-oriented manner to delegate asynchronously a resource-intensive mobile task by direct invocation of the service. In contrast, in an offloading model, a mobile application is partitioned and analyzed so that the most computational expensive operations at code level can be identified and offloaded to a remote cloud-based surrogate. We compared in this paper, the mobile cloudcomputing models for offloading and delegation. We utilized our own frameworks for computational offloading and data binding in the analysis. While in principle, offloading and delegation are viable methods to augment the capabilities of the mobile devices with cloud power, they enrich the mobile applications from different perspectives at diverse computational scales.
Role-based access control (RBAC) has significantly simplified the management of users and permissions in computingsystems. In dynamic environments, systems are subject to changes, so that the associated configuration...
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This book features high-quality research papers presented at the 4th International Conference on Advanced computing and Intelligent Engineering (ICACIE 2019), Department of Computer Science, Rama Devi Women’s Univers...
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ISBN:
(数字)9789811565847
ISBN:
(纸本)9789811565830
This book features high-quality research papers presented at the 4th International Conference on Advanced computing and Intelligent Engineering (ICACIE 2019), Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India. It includes sections describing technical advances and contemporary research in the fields of advanced computing and intelligent engineering, which are based on the presented articles. Intended for postgraduate students and researchers working in the discipline of computer science and engineering, the book also appeals to researchers in the domain of electronics as it covers hardware technologies and future communication technologies.
In this paper, we demonstrate six types of metamaterial absorbers (MMAs) by measuring their absorptivities in an X-band (8 12 GHz) rectangular waveguide. Some of the MMAs have been demonstrated previously by using...
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In this paper, we demonstrate six types of metamaterial absorbers (MMAs) by measuring their absorptivities in an X-band (8 12 GHz) rectangular waveguide. Some of the MMAs have been demonstrated previously by using the free space measurement method, and the others are proposed firstly in this paper. The measured results show that all of the six MMAs exhibit high absorptivities above 98%, which have similar absorbing characteristics to those measured in the free space. The numerically obtained surface current densities for each MMA show that the absorbing mechanism is the same as that under the free space conditions. Such a demonstration method is superior to the conventional free space measurement method due to the small-scale test samples required, the simple measure device, and its low cost. Most importantly, the proposed method opens a way to enable MMAs to be used in microwave applications such as matched terminations.
System virtualization, which provides good isolation, is now widely used in server consolidation. Meanwhile, one of the hot topics in this field is to extend virtualization for embedded systems. However, current popul...
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Dynamic taint analysis has been proved to be very effective in solving security problems recently, especially in software vulnerability detection and malicious behavior prevention. Unfortunately, most of current resea...
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The evolution of computer science has exposed us to the growing gravity of security problems and threats. Dynamic taint analysis is a prevalent approach to protect a program from malicious behaviors, but fails to prov...
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Research in ubiquitous learning (U-learning) has gained attention of a large number of researchers and a number of ubiquitous learning systems are now available in the literature. Majority of these systems have been d...
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ISBN:
(纸本)9786028040723
Research in ubiquitous learning (U-learning) has gained attention of a large number of researchers and a number of ubiquitous learning systems are now available in the literature. Majority of these systems have been developed to resolve a specific problem in a given context;their development approaches do not dictate ubiquitous context usage requirements to fill in. U-learning systems developers need to have a clear and a general view of how their intended systems make use of the ubiquitous context. This paper introduces a comprehensive view of context usage through three different view-points inspired from Dowson's work (Dowson, 1993) each one capturing a particular aspect of context handling. Then a set of facets is associated to each given aspect in order to study, understand and appropriately describe it. The findings of this research are aimed to provide context-aware u-learning system developers a clear understanding of the context usage in such systems and help in underlining the requirements of the u-learning environment. This research is also aimed to help in comparing and evaluating context-aware u-learning systems according to the descriptive system views.
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