I have not blogged for a while but want to resume my writing. There are a lot of subjects I would like to write about: cloud computing, cloud computing impacts on data centers, the Internet of Things (IoT), Big Data/Analytics, Green IT, and ICT applications to the power industry. These subjects are related to each other, but depending upon how you see the market and your interest focus, they are related in some unique way.
Before writing on each subject, I would like to show how these subjects are interrelated in my mind.
Information and Communications Technology (ICT) by itself is complex and changing rapidly, but my main focus is on how ICT can be used in the power industry. Conversely, the power industry may generate specific problems for ICT to solve. This is depicted below.
Let me expand this diagram with a little more detail:
I will not go into detail on each component here, but these are two of my current interests:
Cloud computing and data centers
Some of my current questions are:
Can any application, including those used in the power industry, be put on a cloud?
How does cloud computing impact data centers?
Do cloud computing and the data center that supports it promote energy efficiency?
First, although cloud computing is mentioned everywhere, some questions, like differences between virtualization and cloud computing, whether any application can be cloudified, what needs to be done to cloudify applications, and what the rate of virtualization and cloudification of data centers is, are not discussed at a lay level.
Second, can an existing data center accommodate the power and cooling needs of a cloud implementation? This an interesting question because, if we know our data center cannot accommodate cloud computing, we may take a different approach, like outsourcing. I want to dig a little deeper into data center networking to promote cloud computing.
Third, there is no definitive answer to whether cloud computing promotes energy efficiency. But I know it is not easy to come to a conclusion.
How analytics can be used for the power industry
Some details on how a real-time analytics system like Storm works
First, the power industry can use analytics effectively because its operations can be tuned with it. A large volume of data can be easily gathered and collected. The real question is how such a vast amount of data can be analyzed to tune for better and more energy efficient operations.
Second, Big Data is being given a lot of attention, but not much has been published on implementation details. Hadoop has been used synonymously with Big Data, but it is batch based, and I am more interested in real-time analytics. I am currently reading Nathan Marz’s book Big Data: Principles and best practices of scalable realtime data systems. He has completed the first nine of eleven chapters; I have read it through once but am reading it again. I also am playing with Storm, which uses Nathan’s Lambda architecture.