The IBM Smart Analytics Optimizer for DB2 for z/OS is a new technology to extend existing data warehouse environments on IBM mainframe systems. It is a workload optimized appliance that enables customers to analyze huge amounts of data in a matter of seconds instead of minutes or hours by delivering unmatched performance. This doesn't only allow " train-of-thought " analysis as interactive scen...

Enterprise Applications represent the major legacy workloads in the contemporary, corporate Data Centers. They will stay for several years in the future and will represent the principal headache of the always diminishing support operation staff. In this poster we present an innovative approach aiming to automate routine operations chores, support analyst’s investigation and enable timely busine...

Advanced Metering Infrastructure (AMI) is the basic building block for development of Smart Grid in Distribution System. The main purpose of AMI is to enable two way communication between consumer and Smart Grid Control Center of Utility which involves remote monitoring & control of energy consumption as well as other parameters in real time. Meter data analytics play a vital role in AMI system...

Integrated, real-time and open approaches relating to the development of industrial analytics capabilities are needed to support smart manufacturing. However, adopting industrial analytics can be challenging due to its multidisciplinary and cross-departmental (e.g. Operation and Information Technology) nature. These challenges stem from the significant effort needed to coordinate and manage tea...

Pervasive computing offers an unprecedented opportunity to unobtrusively monitor behavior and use the large amount of collected data to perform analysis of activity-based behavioral patterns. In this paper, we introduce the notion of an activity curve, which represents an abstraction of an individual's normal daily routine based on automatically-recognized activities. We propose methods to dete...

Cyber-Physical System (CPS) is an engineered system in which sensing, networking, and computing are tightly coupled with the control of the physical entities. To enable security, scalability and resiliency, new data analytics methodologies are required for computing, monitoring and optimization in CPS. This work investigates the data analytics related challenges in CPS through two study cases: ...

When a driver starts a car, he doesn’t think about starting an intelligent analytics system; sometimes, that’s precisely what he’s doing. In the future, we will encounter intelligent systems more often as embedded analytics is added to applications such as automotive vision, security and surveillance systems, industrial and factory automation, and a host of other consumer applications. Texas In...

Smart manufacturing (SM) is a term generally applied to the improvement in manufacturing operations through integration of systems, linking of physical and cyber capabilities, and taking advantage of information including leveraging the big data evolution. SM adoption has been occurring unevenly across industries, thus there is an opportunity to look to other industries to determine solution an...

The increasing application of social and human-enabled systems in people’s daily life from one side and from the other side the fast growth of mobile and smart phones technologies have resulted in generating tremendous amount of data, also referred to as big data, and a need for analyzing these data, i.e., big data analytics. Recently a trend has emerged to incorporate human computing power int...