Balancing Risk and Reward in a Market-Based Task Service
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Managing server energy and operational costs in hosting centers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
JouleSort: a balanced energy-efficiency benchmark
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Power capping: a prelude to power shifting
Cluster Computing
Communications of the ACM
Efficient Power Management of Heterogeneous Soft Real-Time Clusters
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
GreenCloud: a new architecture for green data center
ICAC-INDST '09 Proceedings of the 6th international conference industry session on Autonomic computing and communications industry session
Designing and evaluating an energy efficient Cloud
The Journal of Supercomputing
Computer
Managing the cost, energy consumption, and carbon footprint of internet services
Proceedings of the ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Environment-conscious scheduling of HPC applications on distributed Cloud-oriented data centers
Journal of Parallel and Distributed Computing
Evolutionary multiobjective optimization for green clouds
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Energy and carbon-efficient placement of virtual machines in distributed cloud data centers
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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The energy efficiency of ICT has become a major issue with the growing demand of Cloud Computing. More and more companies are investing in building large datacenters to host Cloud services. These datacenters not only consume huge amount of energy but are also very complex in the infrastructure itself. Many studies have been proposed to make these datacenter energy efficient using technologies such as virtualization and consolidation. Still, these solutions are mostly cost driven and thus, do not directly address the critical impact on the environmental sustainability in terms of CO2 emissions. Hence, in this work, we propose a user-oriented Cloud architectural framework, i.e. Carbon Aware Green Cloud Architecture, which addresses this environmental problem from the overall usage of Cloud Computing resources. We also present a case study on IaaS providers. Finally, we present future research directions to enable the wholesome carbon efficiency of Cloud Computing.