Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport

By Jayant Baliga, Robert W. A. Ayre, Kerry Hinton, Rodney S. Tucker. Proceedings of the IEEE, 2011

926 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/20cca03bbdbd83d321a3939694ae9b41f6b8e66d

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Citations in the corpus

Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, methodology): “…one hand, it should satisfy the user’s QoS and optimize the objectives such as the task makespan the cloud provider wishes to schedule the cloud resource efﬁciently to maximize the provision or to save the carbon cost or energy consumed by the cloud center [Buyya et al. 2009; Baliga et al. 2011 ].”
Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing (2016, background): “…service representation approach that does not bring much technical innovations, even though VM has been broadly applied in deploying green Information Technology (IT) industry, such as green data processing, storage, and transmissions (Baliga et al., 2011; Lee and Zomaya, 2012; Xiao et al., 2013).”
Energy efficiency in cloud computing data centers: a survey on software technologies (2022, background): “The authors of [11] presented an analysis on cloud computing energy usage.”
A Survey of Green Mobile Networks: Opportunities and Challenges (2011, background): “However, practical analysis in [115] indicates that cloud services at current stage are mainly targeting the performance of storage, processing and transportation, and are taking less care of the energy-efficiency.”
On Global Electricity Usage of Communication Technology: Trends to 2030 (2015, background): “At the same time, strong improvement in electricity efficiency have been made both from processing [9,17,18] and storage standpoints [19,20].”
Cloud Load Balancing Techniques : A Step Towards Green Computing (2012, background): “Green Computing [6], or Green IT, is the practice of implementing policies and procedures that improve the efﬁciency of computing resources in such a way as to reduce the energy consumption and environmental impact of their utilization [10] [12].”
Opportunities and Challenges of Cloud Computing to Improve Health Care Services (2011, background): “This reduces the emission of dangerous materials into the environment [56].”
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (2010, background): “Another problem is that Cloud applications require movements of large data sets between the infrastructure and consumers; thus it is essential to consider both compute and network aspects of the energy efficiency [67].”
Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey (2023, background): “Beyond the mere augmentation of their commercial pursuits, IoT emerges as the wellspring of a groundbreaking financial paradigm, founded upon the monetization of supplementary services [18,62,79,83].”
Energy Usage Reports: Environmental awareness as part of algorithmic accountability (2019, background): “…computing (Strubell et al. (2019); Muhammad Arif (2015); Posani (2018); Ensmenger (2018, 2015); Coroama et al. (2015)), with special attention paid to energy-intensive operations such as Bitcoin mining and cloud computing (de Vries (2018); Baliga et al. (2011); Muhammad Arif (2015); Posani (2018)).”
Energy Consumption Comparison of Interactive Cloud-Based and Local Applications (2015, methodology): “The work in this paper extends our earlier work in [11] by constructing a measurement based power consumption model for interactive cloud-based applications.”
Trends in big data analytics (2014, background): “[14] consider optimizing energy consumption in global cloud systems by first analyzing the energy consumption profiles for transport, storage, and servers in a variety of scenarios drawn from storage as a service, software as a service, and processing as a service facets of cloud computing.”
Fog Computing May Help to Save Energy in Cloud Computing (2016, background): “The content passes through an access network which might be an Ethernet, WiFi, PON, 3G or 4G connection, or a combination of these to reach the end-user terminal [8]–[11].”