Capping the brown energy consumption of Internet services at low cost

By Kien Le, Ricardo Bianchini, Thu D. Nguyen, Ozlem Bilgir, Margaret Martonosi. 2010

181 citations recorded by the source corpus.

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

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Fanxin Kong
2. Xue Liu
3. Adam Wierman
4. Melike Erol-Kantarci
5. Bernard Wong
6. Md. E. Haque
7. Jordi Guitart
8. Jordi Torres

In Electrical and Electronic Engineering

1. Fanxin Kong
2. Xue Liu
3. Melike Erol-Kantarci
4. Hussein T. Mouftah
5. Srinivasan Keshav
6. Adam Wierman
7. Ricardo Bianchini
8. Steven H. Low

In Information Systems

1. Xue Liu
2. Fanxin Kong
3. Adam Wierman
4. Melike Erol-Kantarci
5. Thu D. Nguyen
6. Hussein T. Mouftah
7. Kien Le
8. Srinivasan Keshav

In ML Systems & Hardware

1. Xue Liu
2. Steven H. Low

Citations in the corpus

• Energy-Efficient Information and Communication Infrastructures in the Smart Grid: A Survey on Interactions and Open Issues (2015, background): “In [168], the authors device a request distribu-”
• Renewable and cooling aware workload management for sustainable data centers (2012, background): “Categories and Subject Descriptors C.0 [Computer Systems Organization]: General Keywords sustainable data center, renewable energy, demand shaping, scheduling, cooling optimization 1.”
• GreenSlot: Scheduling energy consumption in green datacenters (2011, background): “Some previous works have addressed these issues [13, 14, 19, 29].”
• Carbon-Aware Computing for Datacenters (2021, unknown): “that co-optimizes datacenter portfolio cost and environmental objectives [14]–[22].”
• GreenHadoop: leveraging green energy in data-processing frameworks (2012, background): “Similarly, [17, 19, 22] focused on these services.”
• Greening geographical load balancing (2011, background): “For example, which demand response market should Internet-scale systems participate in to minimize costs? How can policy decisions such as cap-and-trade be used to provide the proper incentives for Internet-scale systems, such as [23]? Can Internet-scale systems use energy storage at data centers in”
• Integrating Renewable Energy Resources into the Smart Grid: Recent Developments in Information and Communication Technologies (2018, unknown): “The study [42] proposed an optimization framework to reduce the brown energy (a.”
• A Survey on Green-Energy-Aware Power Management for Datacenters (2014, background): “In contrast to this approach, Liu et al. [2011b] propose two distributed algorithms to minimize the cost of geo-distributed datacenters.”
• It's not easy being green (2012, background): “These inherent complexities have not been addressed in recent work, which focus essentially only on either the electricity cost [30] [35] [37] or the carbon footprint of datacenters [9] [26] [29].”