Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
TLDR
An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).About:
This article is published in Future Generation Computer Systems.The article was published on 2012-05-01 and is currently open access. It has received 2511 citations till now. The article focuses on the topics: Cloud computing & Utility computing.read more
Figures
Fig. 10. The network optimization. 
Fig. 11. The temperature optimization. 
Fig. 9. The optimization over multiple resources. 
Fig. 3. The mean energy consumption by the MM policy for different values of the utilization thresholds. 
Fig. 2. The energy consumption and SLA violations by the ST policy. 
Fig. 8. The distribution of the time until a host is switched to the sleep mode.
Citations
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Proceedings ArticleDOI
Cost-Aware Resource Management for Federated Clouds Using Resource Sharing Contracts
Jinlai Xu,Balaji Palanisamy +1 more
TL;DR: A new contracts-based resource sharing model for federated geo-distributed clouds is proposed that allows cloud service providers to establish resource sharing contracts with individual datacenters apriori for defined time intervals during a 24 hour time period.
Proceedings ArticleDOI
Thermal aware workload consolidation in cloud data centers
Antal Marcel,Pintea Cristian,Pintea Eugen,Pop Claudia,Tudor Cioara,Ionut Anghel,Salomie Ioan +6 more
TL;DR: A thermo-electrical DC model is presented that defines the relation between the server utilization due to VM deployment, the server room ambient temperature and the cooling system load needed to dissipate the corresponding heat and improves the DC energy consumption with 5% up to 20% compared to the well-known First-Fit algorithm.
Journal ArticleDOI
RGCA: A Reliable GPU Cluster Architecture for Large-Scale Internet of Things Computing Based on Effective Performance-Energy Optimization.
TL;DR: This paper proposes a Two-level Parallel Optimization Model (TLPOM) which exploits reasonable resource planning and common compiler optimization techniques to obtain the best blocks and threads configuration considering the resource constraints of each node and uses the Reliable GPU Cluster Architecture (RGCA) to obtain a high-reliability computing system.
Proceedings ArticleDOI
A Predictive Anti-Correlated Virtual Machine Placement Algorithm for Green Cloud Computing
TL;DR: This work presents a comparative study of the most widely used prediction models and introduces a novel predictive anti-correlated VM placement approach, demonstrating how the proposed approach reduces energy by 18% while also reducing service violations by over 47% compared to some of theMost commonly used placement policies.
Book ChapterDOI
Energy-Aware Capacity Provisioning and Resource Allocation in Edge Computing Systems.
TL;DR: A heuristic algorithm is developed to solve the problem of energy-aware optimization of capacity provisioning and resource allocation in edge computing systems such that the net profit of the service provider is maximized.
References
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A view of cloud computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
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Paul Barham,Boris Dragovic,Keir Fraser,Steven Hand,Tim Harris,Alex Ho,Rolf Neugebauer,Ian Pratt,Andrew Warfield +8 more
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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
TL;DR: This paper defines Cloud computing and provides the architecture for creating Clouds with market-oriented resource allocation by leveraging technologies such as Virtual Machines (VMs), and provides insights on market-based resource management strategies that encompass both customer-driven service management and computational risk management to sustain Service Level Agreement (SLA) oriented resource allocation.
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CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
TL;DR: The result of this case study proves that the federated Cloud computing model significantly improves the application QoS requirements under fluctuating resource and service demand patterns.
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Live migration of virtual machines
Christopher Clark,Keir Fraser,Steven Hand,Jacob Gorm Hansen,Eric Jul,Christian Limpach,Ian Pratt,Andrew Warfield +7 more
TL;DR: The design options for migrating OSes running services with liveness constraints are considered, the concept of writable working set is introduced, and the design, implementation and evaluation of high-performance OS migration built on top of the Xen VMM are presented.
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