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Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions [article]

Shashikant Ilager, Rajkumar Buyya
2021 arXiv   pre-print
A taxonomy on energy and thermal efficient resource management in data centres is proposed based on an in-depth analysis of the literature.  ...  This paper investigates the existing resource management approaches in Cloud Data Centres for energy and thermal efficiency.  ...  As our focus is entirely on data centre solutions, we do not delve into server-level thermal management. Data Centre Level A typical large scale data centre hosts thousands of servers.  ... 
arXiv:2107.02342v1 fatcat:zjmghuyhwbd6nhag4txpvgg5wi

Limiting global warming by improving data-centre software

Damian Fernandez-Cerero, Alejandro Fernandez-Montes, Agnieszka Jakobik
2020 IEEE Access  
INDEX TERMS Energy efficiency, data centres, scheduling.  ...  To this end, this work is focused on the proposal and analysis of a set of energy-efficiency policies which are applied to traditional and hyper-scale data centres, as well as numerous operation environments  ...  The authors propose an energy-aware scheduling policy based on Dynamic Voltage and Frequency Scaling (DVFS) in [32] .  ... 
doi:10.1109/access.2020.2978306 fatcat:clvrc6pnkzfbzj5uyng4kylh5q

Using a vision cognitive algorithm to schedule virtual machines

Jiaqi Zhao, Yousri Mhedheb, Jie Tao, Foued Jrad, Qinghuai Liu, Achim Streit
2014 International Journal of Applied Mathematics and Computer Science  
A large cloud center is normally equipped with several hundred thousand physical machines. The mission of the scheduler is to select the best one to host a virtual machine.  ...  This work studies the Virtual Machine (VM) scheduling problem on the cloud.  ...  It models large scale data centres with an internal broker, sensors, a physical host, as well as virtual machines. CloudSim also provides the functionality to configure datacenter resources.  ... 
doi:10.2478/amcs-2014-0039 fatcat:bhe6eajryfgifcv75c7xgxbv4u

Secure Protected Live Migration for Energy Efficient Techniques

S. Vinay Deep, CMRIT
2020 International Journal of Engineering Research and  
In this paper we propose a secure energy aware provisioning for data centre resources on virtualized platforms.  ...  In cloud data centre the VM scheduling technique is used to realize the energy efficient operation of servers and VM migration techniques provides multiple benefits such as resource distribution and energy  ...  I.INTRODUCTION Cloud computing is rapidly growing technology for large scale distributed and grid computing.  ... 
doi:10.17577/ijertv9is090309 fatcat:2r3kufgxi5anrmskpan6ppm6be

Algorithms and Scheduling Techniques to Manage Resilience and Power Consumption in Distributed Systems (Dagstuhl Seminar 15281)

Henri Casanova, Ewa Deelman, Yves Robert, Uwe Schwiegelshohn, Marc Herbstritt
2016 Dagstuhl Reports  
Large-scale systems face two main challenges: failure management and energy management.  ...  formal models and algorithmic solutions for resilience and energy efficiency problems.  ...  Robust and energy-aware distributed algorithms for resource scheduling and allocation in large distributed systems.  ... 
doi:10.4230/dagrep.5.7.1 dblp:journals/dagstuhl-reports/CasanovaDRS15 fatcat:5vxfdcsca5ecdauw7hkcqup26i

Envirocloud: Lending voice for conservation and management of urban trees

Nishadh KA, Balasubramanian P, Azeez PA
2012 Zenodo  
Large-scale development in mobile communication and computation technology provides immense potential in collecting and curetting environmental observations from sensors as well as citizen scientist in  ...  At large, by doing so the model envisages to create a platform for community involvement for environmental awareness and increase the usability of low ecological foot print transportation system.  ...  Introduction: The ever increasing per capita consumption of key natural resource has considerable pressure on its conservation, management and at largely hampers its sustainability.  ... 
doi:10.5281/zenodo.3594718 fatcat:gcawd76nd5ewpboc6hf2ckrdgm

Review of the quality of service scheduling mechanisms in cloud

K R RemeshBabu, Philip Samuel
2018 International Journal of Engineering & Technology  
In large scale distributed systems, the performance of these scheduling algorithms is crucial for better efficiency.  ...  Cloud computing provides on demand access to a large pool of heterogeneous computational and storage resources to users over the internet.  ...  The data centre cloud is a new cloud computing model that uses multi data centre architectures for large scale massive data processing or computing.  ... 
doi:10.14419/ijet.v7i3.13016 fatcat:6b6bdl6uvvethptsebfhbmxbnq

Delay Aware Link Scheduling for Multi-Hop TDMA Wireless Networks

P. Djukic, S. Valaee
2009 IEEE/ACM Transactions on Networking  
The total scheduling delay can be quite large since it accumulates at every hop on a path. This paper presents a method that finds conflict-free TDMA schedules with minimum scheduling delay.  ...  Index Terms-Scheduling delay, stop-and-go queueing, TDMA scheduling algorithms.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous IEEE IN-FOCOM and IEEE/ACM TRANSACTIONS ON NETWORKING (ToN) reviewers who gave significant suggestions for improving the paper.  ... 
doi:10.1109/tnet.2008.2005219 fatcat:6cssptq7ajd6jfzocnz6ibk2lu

Scheduling Algorithms in Big Data: A Survey

2016 International Journal Of Engineering And Computer Science  
Performance of scheduling technique can be improved by applying deadline constraints on jobs.  ...  It is not easy to quantify the large amount of data stored electronically. Data is in the unit of zettabytes or exabytes referred as Big Data. Hadoop system is used to process large datasets.  ...  Data has increased in various fields in large scale. Under the explosive increase in large scale, the term big data is used to define huge data sets.  ... 
doi:10.18535/ijecs/v5i8.53 fatcat:x4amgkxolrb6toe6fifofmzgfu

Managing Work-Family Conflict among Entrepreneurs: An Empirical Study

Wendy Ming-Yen Teoh, Chin Wei Chong, Siong Choy Chong, Hishamuddin Ismail
2016 International Journal of Business and Management  
However, role ambiguity and work schedule flexibility indicate insignificant effect on work-family conflict.  ...  Coupled with work schedule flexibility, these role stressors have a bearing on work-family conflict and are the focus of this study.  ...  Variables and Measures To measure work-family conflict, a 5-point scale ranging from 1 (strongly disagree) to 5 (strongly agree) was selected, using the 10 items developed by Netemeyer et al. (1996) .  ... 
doi:10.5539/ijbm.v11n9p179 fatcat:6udry3cd7zapban6ax45jr635u

Context-awareness and the smart grid: Requirements and challenges

Michael Donohoe, Brendan Jennings, Sasitharan Balasubramaniam
2015 Computer Networks  
Parallel developments in autonomic systems, pervasive computing and contextawareness (relating in particular to data fusion, context modelling, and semantic data) could provide key elements in the development  ...  This paper describes: (1) the communications and data management requirements of the emerging smart grid, (2) state-of-the-art techniques and systems for context-awareness and (3) a future direction towards  ...  Acknowledgement This work has been partly funded by Science Foundation Ireland via the ''FAME'' Strategic Research Cluster, Grant No. 08/SRC/I1403 and via the ''A Biologically Inspired Framework Supporting  ... 
doi:10.1016/j.comnet.2015.01.007 fatcat:ijj5xb2rjrds7f5etz7an5xxam

Renewable Energy-aware Data Centre Operations for Smart Cities - The DC4Cities Approach

Sonja Klingert, Florian Niedermeier, Corentin Dupont, Giovanni Giuliani, Thomas Schulze, Hermann de Meer
2015 Proceedings of the 4th International Conference on Smart Cities and Green ICT Systems  
To this end, power management options between the data centre and the smart city together with internal adaptation strategies for data centres are introduced.  ...  Data centres are important players in smart cities both as IT service providers and as energy consumers.  ...  the right side of Figure 5 ) and to the historical database subsystem (left) used to store all monitored data as well as to support predictions using on correlation models based on the collected data  ... 
doi:10.5220/0005430600260034 dblp:conf/smartgreens/KlingertNDGSM15 fatcat:3qufodudwrgpbb5iyxdaye67fa

SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices [article]

Chulhong Min, Akhil Mathur, Utku Gunay Acer, Alessandro Montanari, Fahim Kawsar
2021 arXiv   pre-print
Next, a resource-aware model server executes multiple models in isolation through model abstraction, pipeline automation and feature sharing.  ...  Collectively, these components enable SensiX++ to serve multiple models efficiently with fine-grained control on edge devices while minimising data operation redundancy, managing data and device heterogeneity  ...  These edge devices can now perform cloud-scale, processor-intensive machine learning (ML) inferences locally and eliminate the need to send a large amount of data to remote data centres -thereby offering  ... 
arXiv:2109.03947v1 fatcat:4rkw6km2fvh5lgn4qm23cvf6za

Validation of the PHNs precepting experiential learning causal model for preceptors of novice public health nurses in Japan

Taeko Shimazu
2020 Nursing Open  
"PHN Precepting Experiential Learning Scale," "Professional Development for Public Health Nurses" and "Awareness of Responsibility for Organization" were examined through structural equation modelling.  ...  The government supported PHNs' systematic career development and precepting learners.  ...  These findings confirmed the goodness of fit for this model (Figure 2 ). | D ISCUSS I ON In this study, a nationwide survey provided data to develop the PHN-PEL causal model.  ... 
doi:10.1002/nop2.468 pmid:32587714 pmcid:PMC7308676 fatcat:um6iwyv2yjc33gb66b3tubx4qi

Reducing Cache Coherence Traffic with a NUMA-Aware Runtime Approach

Paul Caheny, Lluc Alvarez, Said Derradji, Mateo Valero, Miquel Moreto, Marc Casas
2018 IEEE Transactions on Parallel and Distributed Systems  
For several benchmarks, we study coherence traffic in detail under the influence of an added hierarchical cache layer in the directory protocol combined with runtime managed NUMA-aware scheduling and data  ...  The effectiveness of this joint approach is demonstrated by speedups of 3.14x to 9.97x and coherence traffic reductions of up to 99% in comparison to NUMA-oblivious scheduling and data allocation.  ...  ACKNOWLEDGMENTS This work has been supported by the Spanish Government (Severo Ochoa grants SEV2015-0493), by the Spanish Ministry of Science and Innovation (contracts TIN2015-  ... 
doi:10.1109/tpds.2017.2787123 fatcat:kz7gsqv5zvawvh7uulewkoiawe
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