Combining Renewable Solar and Open Air Cooling for Greening Internet-Scale Distributed Networks

The widespread adoption and popularity of Internet-scale Distributed Networks (IDNs) has led to an explosive growth in the infrastructure of these networks. Unfortunately, this growth has also led to a rapid increase in energy consumption with its accompanying environmental impact. Therefore, energy efficiency is a key consideration in operating and designing these power-hungry networks. In this paper, we study the greening potential of combining two contrasting sources of renewable energy, namely solar energy and Open Air Cooling (OAC). OAC involves the use of outside air to cool data centers if the weather outside is cold and dry enough. Therefore OAC is likely to be abundant in colder weather and at night-time. In contrast, solar energy is correlated with sunny weather and day-time. Given their contrasting natures, we study whether synthesizing these two renewable sources of energy can yield complementary benefits. Given the intermittent nature of renewable energy, we use batteries and load shifting to facilitate the use of green energy and study trade-offs in brown energy reduction based on key parameters like battery size, number of solar panels, and radius of load movement. We do a detailed cost analysis, including amortized cost savings as well as a break-even analysis for different energy prices. Our results look encouraging and we find that we can significantly reduce brown energy consumption by about 55% to 59% just by combining the two technologies. We can increase our savings further to between 60% to 65% by adding load movement within a radius of 5000kms, and to between 73% to 89% by adding batteries.

[1]  Blake Lundstrom,et al.  Life prediction model for grid-connected Li-ion battery energy storage system , 2017, 2017 American Control Conference (ACC).

[2]  Rajkumar Buyya,et al.  Content Delivery Networks , 2008 .

[3]  Aron P. Dobos,et al.  PVWatts Version 5 Manual , 2014 .

[4]  Prashant J. Shenoy,et al.  Efficient solar provisioning for net-zero Internet-scale distributed networks , 2018, 2018 10th International Conference on Communication Systems & Networks (COMSNETS).

[5]  Chao Li,et al.  iSwitch: Coordinating and optimizing renewable energy powered server clusters , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).

[6]  Christopher Stewart,et al.  Some Joules Are More Precious Than Others: Managing Renewable Energy in the Datacenter∗ , 2009 .

[7]  Aaron P. Wemhoff,et al.  Energy and Exergy Analysis of Modular Data Centers , 2017, IEEE Transactions on Components, Packaging and Manufacturing Technology.

[8]  Xin Wang,et al.  Cooling-Aware Energy and Workload Management in Data Centers via Stochastic Optimization , 2016, IEEE Journal of Selected Topics in Signal Processing.

[9]  Luiz André Barroso,et al.  The Case for Energy-Proportional Computing , 2007, Computer.

[10]  Anand Sivasubramaniam,et al.  Managing server energy and operational costs in hosting centers , 2005, SIGMETRICS '05.

[11]  Prashant J. Shenoy,et al.  How to cool internet-scale distributed networks on the cheap , 2016, e-Energy.

[12]  Lachlan L. H. Andrew,et al.  Geographical load balancing with renewables , 2011, PERV.

[13]  Tajana Rosing,et al.  Utilizing green energy prediction to schedule mixed batch and service jobs in data centers , 2011, OPSR.

[14]  Lachlan L. H. Andrew,et al.  Dynamic Right-Sizing for Power-Proportional Data Centers , 2011, IEEE/ACM Transactions on Networking.

[15]  Jordi Torres,et al.  GreenHadoop: leveraging green energy in data-processing frameworks , 2012, EuroSys '12.

[16]  John V. Guttag,et al.  Power-demand routing in massive geo-distributed systems , 2010 .

[17]  Prashant J. Shenoy,et al.  Blink: managing server clusters on intermittent power , 2011, ASPLOS XVI.

[18]  Jordi Torres,et al.  Building Green Cloud Services at Low Cost , 2014, 2014 IEEE 34th International Conference on Distributed Computing Systems.

[19]  Ramesh K. Sitaraman,et al.  The Akamai network: a platform for high-performance internet applications , 2010, OPSR.

[20]  Donald Chung,et al.  On the Path to SunShot. The Role of Advancements in Solar Photovoltaic Efficiency, Reliability, and Costs , 2016 .

[21]  Srinivasan Keshav,et al.  It's not easy being green , 2012, CCRV.

[22]  Zhenhua Liu,et al.  Towards the design and operation of net-zero energy data centers , 2012, 13th InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.

[23]  Lachlan L. H. Andrew,et al.  Greening Geographical Load Balancing , 2015, IEEE/ACM Transactions on Networking.

[24]  Max Wei,et al.  Electricity End Uses, Energy Efficiency, and Distributed Energy Resources Baseline , 2017 .

[25]  Jose Renau,et al.  ReRack: power simulation for data centers with renewable energy generation , 2011, PERV.

[26]  Thu D. Nguyen,et al.  Parasol and GreenSwitch: managing datacenters powered by renewable energy , 2013, ASPLOS '13.

[27]  Yefu Wang,et al.  GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy , 2011, Middleware.

[28]  Venkatesh Pallipadi,et al.  The Ondemand Governor Past, Present, and Future , 2010 .

[29]  Amin Vahdat,et al.  ECOSystem: managing energy as a first class operating system resource , 2002, ASPLOS X.

[30]  Anand Sivasubramaniam,et al.  Carbon-Aware Energy Capacity Planning for Datacenters , 2012, 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[31]  Prashant J. Shenoy,et al.  Energy-efficient content delivery networks using cluster shutdown , 2013, 2013 International Green Computing Conference Proceedings.

[32]  Jordi Torres,et al.  GreenSlot: Scheduling energy consumption in green datacenters , 2011, 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC).