Energy Savings in Cloud Computing: Conventional Versus Cloud Energy Use

2016 ◽  
Author(s):  
Daniel Comperchio
Keyword(s):  
Cloud Computing ◽  
Energy Use ◽  
Data Centers ◽  
Energy Savings ◽  
Cloud Services ◽  
Cloud Provider ◽  
Cooling Systems ◽  
And Storage

With the explosive growth of demand for cloud services in the last few years, providers are building more and larger data centers almost continuously. As the scale of the facilities increases, more emphasis is placed on homogenizing equipment, streamlining operations, and focusing intensely on driving higher levels of efficiency in both the compute infrastructure and physical power and cooling systems. For customers, this translates to lower costs for the services provided, but looking deeper uncovers a larger set of benefits. Beyond the savings associated with licensing, maintaining, and refreshing servers and storage equipment, companies looking at migrating to a cloud provider will see a tremendous operating savings by significantly reducing the energy use of their workloads.

Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

2021 ◽  
Vol 12 (1) ◽  
pp. 74-83
Author(s):  
Manjunatha S. ◽  
Suresh L.
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Service Providers ◽  
Cost Effective ◽  
Cooling Systems ◽  
Operational Costs ◽  
Cloud Computing Service ◽  
And Migration

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

Energy-Efficiency in a Cloud Computing Backbone

2013 ◽  
pp. 283-305
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
High Performance ◽  
Data Centers ◽  
High Capacity ◽  
Power Saving ◽  
Cloud Services ◽  
Mixed Integer ◽  
Ip Over Wdm ◽  
Challenges And Opportunities

Cloud computing combines the advantages of several computing paradigms and introduces ubiquity in the provisioning of services such as software, platform, and infrastructure. Data centers, as the main hosts of cloud computing services, accommodate thousands of high performance servers and high capacity storage units. Offloading the local resources increases the energy consumption of the transport network and the data centers although it is advantageous in terms of energy consumption of the end hosts. This chapter presents a detailed survey of the existing mechanisms that aim at designing the Internet backbone with data centers and the objective of energy-efficient delivery of the cloud services. The survey is followed by a case study where Mixed Integer Linear Programming (MILP)-based provisioning models and heuristics are used to guarantee either minimum delayed or maximum power saving cloud services where high performance data centers are assumed to be located at the core nodes of an IP-over-WDM network. The chapter is concluded by summarizing the surveyed schemes with a taxonomy including the cons and pros. The summary is followed by a discussion focusing on the research challenges and opportunities.

Survey of State-of-Art in Green Cloud Computing

2019 ◽  
pp. 1360-1369
Author(s):  
Sanjay P. Ahuja ◽  
Karthika Muthiah
Keyword(s):  
Cloud Computing ◽  
High Performance ◽  
Energy Use ◽  
Data Centers ◽  
Green Cloud Computing ◽  
Cloud Data ◽  
Cloud Framework ◽  
Services Outsourcing ◽  
Green Cloud ◽  
Recycle And Reuse

Cloud computing is witnessing tremendous growth at one time when climate change and reducing emissions from energy use is gaining attention. With the growth of the cloud, however, comes an increase in demand for energy. There is growing global awareness about reducing greenhouse gas emissions and healthy environments. Green computing in general aims to reduce the consumption of energy and carbon emission and also to recycle and reuse the energy usage in a beneficial and efficient way. Energy consumption is a bottleneck in internet computing technology. Green cloud computing related technology arose as an improvement to cloud computing. Cloud data centers consume inordinate amounts of energy and have significant CO2 emissions as they have a huge network of servers. Furthermore, these data centers are tightly linked to provide high performance services, outsourcing and sharing resources to multiple users through the internet. This paper gives an overview about green cloud computing and its evolution, surveys related work, discusses associated integrated green cloud architecture – Green Cloud Framework, innovations, and technologies, and highlights future work and challenges that need to be addressed to sustain an eco-friendly cloud computing environment that is poised for significant growth.

Examining IoT's Applications Using Cloud Services

2018 ◽  
pp. 147-163 ◽  
Author(s):  
Saravanan K ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Distributed Computing ◽  
Knowledge Sharing ◽  
Effective Communication ◽  
Cloud Services ◽  
On Demand ◽  
Computing Paradigm ◽  
Iot Devices ◽  
And Storage

Cloud IoT has evolved from the convergence of Cloud computing with Internet of Things (IoT). The networked devices in the IoT world grow exponentially in the distributed computing paradigm and thus require the power of the Cloud to access and share computing and storage for these devices. Cloud offers scalable on-demand services to the IoT devices for effective communication and knowledge sharing. It alleviates the computational load of IoT, which makes the devices smarter. This chapter explores the different IoT services offered by the Cloud as well as application domains that are benefited by the Cloud IoT. The challenges on offloading the IoT computation into the Cloud are also discussed.

scholarly journals Cloud services as the ultimate gate(keeper)

2019 ◽  
Vol 7 (2) ◽  
pp. 220-248
Author(s):  
Björn Lundqvist
Keyword(s):  
Service Providers ◽  
Cloud Services ◽  
Business Strategies ◽  
Cloud Provider ◽  
Goods And Services ◽  
Use Of Data ◽  
Cloud Providers ◽  
And Storage ◽  
The Internet Of Things ◽  
Gain Access

Abstract In the Internet of Things (IoT), the amount and smart use of data will determine whether or not a firm can compete successfully. Manufacturing firms will collect data through sensors in their devices and, at least in the cases of SMEs, likely store the collected data in the cloud, purchasing cloud services and storage from the large e-platform providers doubling as cloud providers. The e-platform providers will also collect data from users of their other services. These data are often generated by the same firms that purchase cloud services when they use the e-platforms to sell goods and services. Access to the data and to data analytics on fair business terms, and the possibility to switch cloud and service providers are vital for the SMEs and, in general, to create a competitive and vibrant IoT. However, cloud and e-platform customers seem to be facing difficulties. According to the EU Commission, SMEs are finding it particularly hard to engage cloud and e-platform providers, and to gain access to cloud services on reasonable, transparent terms. The contracts are skewed in favour of the cloud providers. The customers get locked in and may be obliged to agree not to assert any of their intellectual property rights vis-à-vis the cloud provider or the cloud provider’s network. Moreover, the cloud and e-platform providers may under certain circumstances access and make use of the users’ data, and that may give them a competitive advantage vis-à-vis the users, since the providers may have access to much more data, even data originating from the users’ competitors, suppliers, customers, etc. They can thus use all the data available to them to obtain a fuller picture of whole industries, and they may use that advantage in data to leverage and enter users’ markets. Indeed, they may use the data in the cloud for data-driven business strategies to enter the core market of the firms that have provided them with data in the first place. This article discusses whether competition law can address the conduct of the cloud and e-platform providers, so that firms may access and make use of all the possibilities that the IoT harbours.

Solar space heating with air and liquid systems

1980 ◽  
Vol 295 (1414) ◽  
pp. 349-359
Keyword(s):  
Energy Savings ◽  
Solar Heating ◽  
Performance Data ◽  
Space Heating ◽  
Cooling Systems ◽  
Heating Systems ◽  
Fuel Prices ◽  
Heating And Cooling ◽  
Liquid Systems ◽  
And Storage

Seasonal and annual performance data are available on only a limited number of the several thousand solar space heating systems now in operation. The emerging information indicates that most of the heat required in buildings can be supplied by solar energy delivered from flat-plate collectors and stored overnight in tanks of water and bins of rock pebbles. Numerous mechanical and operational problems, mainly in liquid collection and storage systems, demand attention. Annual costs of solar heating equipment and its installation usually exceed current values of energy savings, but fuel prices are expected to escalate at rates which often favour solar purchase today. Detailed performance data on several types of solar heating and cooling systems in buildings of identical design are presented, compared and interpreted. Maintenance and repair requirements are noted and contrasted, and forecasts of use in various applications are presented.

scholarly journals Cloud-based services for electronic civil registration and vital statistics systems

2019 ◽  
Vol 38 (S1) ◽  
Author(s):  
Brett McDowall ◽  
Samuel Mills
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Vital Statistics ◽  
Information And Communications Technology ◽  
Cloud Provider ◽  
Civil Registration ◽  
Continuous Innovation ◽  
Use Of Data ◽  
Virtual Data Center ◽  
And Storage

Abstract This paper examines the hosting options for electronic civil registration and vital statistics (CRVS) systems, particularly the use of data centers versus cloud-based solutions. A data center is a facility that houses computer systems and associated hardware and software components, such as network and storage systems, power supplies, environment controls, and security devices. An alternative to using a data center is cloud-based hosting, which is a virtual data center hosted by a public cloud provider. The cloud is used on a pay-as-you-go basis and does not require purchasing and maintaining of hardware for data centers. It also provides more flexibility for continuous innovation in line with evolving information and communications technology.

Cloud Load Balancing Algorithms: A Comparative Assessment

2019 ◽  
Vol 16 (9) ◽  
pp. 3989-3994
Author(s):  
Jaspreet Singh ◽  
Deepali Gupta ◽  
Neha Sharma
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Centers ◽  
Research Area ◽  
Comparative Assessment ◽  
Cloud Services ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Cloud Users

Nowadays, Cloud computing is developing quickly and customers are requesting more administrations and superior outcomes. In the cloud domain, load balancing has turned into an extremely intriguing and crucial research area. Numbers of algorithms were recommended to give proficient mechanism for distributing the cloud user’s requests for accessing pool cloud resources. Also load balancing in cloud should provide notable functional benefits to cloud users and at the same time should prove out to be eminent for cloud services providers. In this paper, the pre-existing load balancing techniques are explored. The paper intends to provide landscape for classification of distinct load balancing algorithms based upon the several parameters and also address performance assessment bound to various load balancing algorithms. The comparative assessment of various load balancing algorithms will helps in proposing a competent load balancing technique for intensify the performance of cloud data centers.

scholarly journals Reducing Industrial Energy Use and CO2 Emissions: The Role of Materials Science

MRS Bulletin ◽  
2008 ◽  
Vol 33 (4) ◽  
pp. 471-477 ◽  
Author(s):  
Dolf Gielen ◽  
John Newman ◽  
Martin K. Patel
Keyword(s):  
Energy Use ◽  
Energy Savings ◽  
Materials Science ◽  
Substantial Impact ◽  
Fuel Switching ◽  
Advanced Technologies ◽  
Industrial Energy ◽  
Industrial Energy Use ◽  
And Storage

AbstractNearly one-third of the world's energy consumption and 36% of its carbon dioxide (CO2) emissions are attributable to manufacturing industries. However, the adoption of advanced technologies already in commercial use could provide technical energy savings in industry of 27–41 exajoules (EJ), along with a reduction in CO2 emissions of 2.2–3.2 gigatonnes (Gt) per year, about 7–12% of today's global CO2 emissions. Even more significant savings can be attained on the supply side if fuel switching and CO2 capture and storage are considered. However, such changes must start in the coming decade to have a substantial impact by 2050.

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