ICSOC 2015 Panel: Service Engineering Analytics in the IoT Cloud Systems
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Hong-Linh Truong from Vienna University of Technology will present at the ICSOC 2015 panel on service engineering analytics in the Internet of Things (IoT) and cloud systems. The presentation will discuss novel service models and compositions that blend distributed IoT and cloud capabilities. It will also cover programming techniques for coordinating IoT elements and cloud services elastically, as well as engineering analytics tools and techniques for characterizing end-to-end metrics across multiple software layers in IoT and cloud systems.
ICSOC 2015 Panel: Service Engineering Analytics in the IoT Cloud Systems
- 1. ICSOC 2015 Panel: Service Engineering Analytics in the IoT Cloud Systems Hong-Linh Truong Distributed Systems Group Vienna University of Technology truong@dsg.tuwien.ac.at http://dsg.tuwien.ac.at/staff/truong ICSOC 2015, 19 Nov, Goa, India 1
- 2. IoT and Cloud Structures and Communities IoT elements at the edge Software sensors and actuators Gateways: lightweighted hardware/software acting as intermediate nodes between sensors/actuators and back-end cloud services Cloud services at the data centers Software services and data: complex event processing, data services, data analytics, etc. Connectivity Network middleware and protocols IoT cloud systems Systems blending IoT elements and cloud services ICSOC 2015, 19 Nov, Goa, India 2
- 3. Service computing view ICSOC 2015, 19 Nov, Goa, India 3 Large-scale and heterogeneous distributed systems of IoT Complex services from multiple providers provisioned in different data centers Elastic (Data/Analytics) Service (cost, resource, quality) Elastic (Data/Analytics) Service (cost, resource, quality) Hong Linh Truong, Schahram Dustdar: Programming Elasticity in the Cloud. IEEE Computer 48(3): 87-90 (2015) Hong Linh Truong, Schahram Dustdar: Programming Elasticity in the Cloud. IEEE Computer 48(3): 87-90 (2015)
- 4. Novel service models – application domains and business models „Compositions“ of distributed data and analytics capabilities from IoT and clouds Quality of results, smart data & service contract, elastic functionality Novel service execution composition and management Programming techniques for composition of IoT and cloud elements Embracing uncertainties of machines, data, network, and humans Service elasticity coordination of multiple IoT sites and big data centers Intelligent management delegation algorithms Dynamic context-aware compliance governance Novel engineering analytics techniques and tools Characterization of end-to-end metrics of services Linked service information from multiple software layers in different phases in the development and operation Deployment, control and analysis tools for multiple software layers in blending IoT and cloud systems ICSOC 2015, 19 Nov, Goa, India 4 Research focus