IBM Introduces New Software in Stream Computing

May 13, 2009

IT giant, IBM has released its stream computing software, IBM System S, as a real-time business analytics platform, to support better business decision-making across sectors where speed and accuracy plays a key role in responding to changing conditions. System S software allows the analysis of large volumes of data in real time, facilitating the generation of rapid insights.

The System S project, initiated in 2003, is backed by more than 20 years of information management expertise, five years of development by IBM Research, and above 200 patents. System S is designed to overcome the shortage of the inability of conventional computing systems to continuously process large amounts of incoming diverse stream of data, thus enabling a more real-time experience to decision makers, while allowing them to respond to changes throughout complex systems.

Available on IBM’s InfoSphere Product line, the System S makes use of a novel streaming architecture and mathematical algorithms to generate a forward-looking analysis of information obtained from multiple sources .The state-of-the-art technology, which enables rapid analysis of and secure sharing of data , will support professionals across various sectors like transportation companies, retailers, healthcare organizations, government and law enforcement agencies, financial institutions, etc. The software is expected to allow professionals to respond quickly to changing requirements and events, adjust to changing data types and forms, and manage high heterogeneity, availability and distribution for new stream prototypes. Able to manage unstructured data without having to reformat it, the System S updates and refines the analysis with the availability of additional data.

In relation with the healthcare industry the software is currently being tested at Hospital for Sick Children, Toronto and two other international hospitals, through a research conducted by IBM and University of Ontario Institute of Technology (UOIT), to help physicians predict faint changes in premature babies who are critically ill. By managing the streaming biomedical information, including heart rate and respiration, along with patient clinical data, the software automates the paper-based process of comparing readings from different monitors and analyzing feedbacks received from nurses. As a means of monitoring the condition of premature babies, the software is touted to detect life-threatening situations like infection up to 24 hours ahead.

With its IBM European Stream Computing Center, opened in Dublin, Ireland, IBM will further enable research, customer support and advanced testing, to promote adoption rates in the European market, which is anticipated to have promising marketing grounds for its System S. Furthermore, New York-based IBM, through a no-cost model, intends to deliver the software trial code, which includes developer tools, adapters and software to test applications and enable clients to familiarize with the software’s features.

With advancements in technology and the rapid invasion of IT into the healthcare sector for establishing wide-spread connectivity, the bulk of digital information, including structured and unstructured data, is skyrocketing. According to the 2004 Frost & Sullivan report, by the year 2010, facilities will have to manage 1 billion terabytes of data. To leverage this expansive growth in data, many industries are moving towards implementing systems and applications to convert the continuous data streams into actionable information and knowledge.

Stream computing, a novel paradigm, analyzes various data streams originating from multiple sources, live. The term is derived from the word stream, which means extracting streams of data, processing it and streaming it back in the form of a single flow. The software utilizes software algorithms to aid in real time analysis. Stream computing technology was also introduced by ATI, a subsidiary of the Advanced Micro Devices, Inc, in 2006.

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