1. Systems are core of a platform where softwares make up web services that appear to be cloud computing.
2. Central to this concept is provider(servers) and recipient/users(clients). In between there can be many layers of other services or subsystems such as acceleration storage, network optimizers, directory services, time servers, and many others.
3. The complexity of this distributed systems often arises from many to many relationships.
4. Network delays & systems failure often complicate things further.
5. Often delays are also caused by virtual layers such as security sockets & communications.
6. Careful considerations are needed to ensure the subsystems and other connected services are manageable and scalable.
7. Often the large data sets and records are stored in multiple subsystems such as different databases using different structures on different physical media & locality.
8. This is the core of why innovators often triumph over existing players. Once built and populated, older systems are very difficult to change or improved.
Monday, August 22, 2011
Thursday, August 4, 2011
Multi Platform Technology
1. Multi platform technology is a strategy that started as open platform.
2. It extends beyond multiple CPUs, operating systems and middleware to cover mobile technology, fixed broadband, web, messaging and applications.
3. Such agile and dynamic sources of data and destination of data requires new paradigm shift in managing data, information and knowledge.
4. Raw data, processed data and actionable nano(very small lightweight) apps will have to be made available.
5. Automation of management for these tools and BI capabilities with extensive reporting and knowledge mining capabilities are also essential.
6. Growth of data, information, knowledge, threats and time constraints with resource limitation and contention will require new tools to be developed.
7. Innovations and development of such tools require cross discipline research, collaboration and instant feedback using social media, online media and prototyping/development on the go.
8. Continuous development cycle will become a norm with deployment in shorter time period cycle.
2. It extends beyond multiple CPUs, operating systems and middleware to cover mobile technology, fixed broadband, web, messaging and applications.
3. Such agile and dynamic sources of data and destination of data requires new paradigm shift in managing data, information and knowledge.
4. Raw data, processed data and actionable nano(very small lightweight) apps will have to be made available.
5. Automation of management for these tools and BI capabilities with extensive reporting and knowledge mining capabilities are also essential.
6. Growth of data, information, knowledge, threats and time constraints with resource limitation and contention will require new tools to be developed.
7. Innovations and development of such tools require cross discipline research, collaboration and instant feedback using social media, online media and prototyping/development on the go.
8. Continuous development cycle will become a norm with deployment in shorter time period cycle.
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