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Green IT3: Sustainability Indicators
- Lecturer: Prof. Jari Porras
- Assistant: nn
Green IT articles:
1. Green Cloud computing and Environmental Sustainability, Saurabh Kumar Garg and Rajkumar Buyya
Using cloud services from virtual servers in high automated data centers can save energy and decrease carbon emissions and global warning. Majority of power usage inside data center is used for other purposes than actual services. So the full advantage can be only achieved by optimizing usage of devices efficiently. Also applications should be designed so that they consume resources which they really need, not maximum amount of them.
2. Energy-Efficient Cloud Computing, Gelende et al. (2010)
With better and smarter technology on hardware level (computer systems and networks) can be saved energy and decrease emissions.
3. GreenCloud: A New Architecture for Green Data Center (2009) Liu et al.
“GreenCloud is an IDC architecture which aims to reduce data center power consumption, while at the same time guarantee the performance from users’ perspective, leveraging live virtual machine migration technology”. A big challenge for GreenCloud is to automatically make the scheduling decision on dynamically migrating/consolidating VMs among physical servers to meet the workload requirements meanwhile saving energy, especially for performance-sensitive (such as response time-sensitive) applications, e.g. online gaming servers.
Main topic also in this article: Server virtualization to reduce physical server and so to save energy. It was interesting that using algorithm energy consumption could be calculated between physical and virtual server.
All articles above deal with how cloud services in different data centers can save money with smarter and more efficient technology in energy consumption and cooling systems, in data center devices and so decrease GHG, carbon emission etc. BUT anyway huge amount of servers and other IT devices in data centers “produce” a lot of extra heat which mostly is run directly to outside even though it could be utilized for heating purposes. At the same time it could be seen as a business case and bring value for some company. So have been done in Finland/Mäntsälä since 2015. Yandex data center sells all extra heat to local electricity and heating company. This means that producing district heating with natural gas about 50 % can be replaced by lost heat on annual level. In practice about 1000 detached houses can warm up with lost heat and reduce carbon dioxide emissions by 40 % compared to producing district heating.
All three articles deal with Cloud Services which is related to my Master Thesis.
I perform the course mentioned in Noppa: Philosophy and Critical Thinking
Coursera course result:
I live in Lappeenranta in Karhuvuori area in detached house. Since 2007 when built our house we have had a possibility to collect different type of waste to own boxes. We separate plastic , newspapers etc, board packaging material, metal, biowaste and common waste. So we have 6 different waste boxes in our kitchen and same boxes (but larger) in waste shelter. Additionally we bring all class material and used batteries to common collection points. What should be done next ? Now this type of waste separation in optional in Karhuvuori and it is not very widely used. Probably situation is same in whole city. Model should be mandatory for everyone at least for new houses and apartments. What is actually needed ? A little more work in daily doing and room for different types of waste. What can be achieved ? Less waste in rubbish dump and recyckled material for reuse.
Radar Diagram Model
Create 4 exam questions representing the course contents.
Q1: How individual could locally utilize data to optimize usage of local resources, like heating system, energy system and waste management?
Question might set you to think everyone’s closes environment (=home) on sustainable way. Questing has direct reflection to individual’s life and perhaps help to understand the topic more practical way. Many examples also in seminar days have anyway tried to somehow reflect to real life.
Q2: How to utilize so called sustainably valuable data so that it is not managed as too global, too political and too financial. Where to set limits?
This questions relates also to think sustainable things not in too large scale. Even though everything effects to everything it is easier and maybe also reasonable to set limits somewhere.
Q3: How such big groups of stakeholders in SSA can make any decisions? Are groups too big ? How to improve ?
Important decisions reflecting to sustainable are done in too big groups and for that they don’t proceed.
Q2: How to make needed actions equal for all countries in the world? How to define available country specific resources equal also in developing countries?
It is important that every country participate to bee. Not only to decision making and actions their follow-up as well. How to define equal indicators?