credit system. o Software, OS, compilers, scheduling, active CPU time, VMs o Cloud Infrastructure, hardware, storage, network devices design and impl. o Hardware, scalability is key, changing requiremets o Network, additional communication translates into add energy consumption. o Virtualization, multiple logical machines, low load machines can be shut down o Operational Efficiency, policies, efficient datacenter administration, and e-waste management.
Benchmarks, metrics, meausure energy consumption. oDesign, a good design also cover energy consumption. GUI design, Security AES,DES,RC2 oImplementation,have several tiers of abstraction, programming language, garbage c. oTesting, save time, money, energy. How to measure energy use. oMaintenance, monitoring, track energy use. IaaS, PaaS, SaaS,
Green Software Development Life Cycle for Cloud Computing. GREEN IT. 11 (3), 28-34. o Bryan Walsh. (2014). Your Data Is Dirty: The Carbon Price of Cloud Computing. Available: http://time.com/46777/your-data-is-dirty-the- carbon-price-of-cloud-computing/. Last accessed 2nd May 2015.