**************************** DSL authors Renuka Sindhgatta (also of IBM Research India), Prof. Aditya Ghose and Dr. Hoa Dam will report on a novel framework that uses data analytics for optimal business process provisioning at the 2016 International Conference on Advanced Information Systems Engineering (CAISE), the premier conference in this area (acceptance rate: 16.5%)
Prof. Aditya Ghose, Prof. Andrew Miller and Dr. David Stirling were among the authors of a submission (with Prof. David Thwaites of the University of Sydney as lead author) entitled "Mining routine radiation oncology clinical datasets within a distributed rapid learning framework: the potential for supporting optimised clinical decisions" that won the Best Abstract Award at the Cancer Institute of NSW Innovations in Cancer Treatment and Care Conference 2014.
Prof. John Mylopoulos, eminent software engineering and conceptual modelling researcher, is currently visiting the Decision Systems Lab for a period of 3 weeks. His visit was preceded by a visit by Prof. Akhil Kumar from Penn State University in early January.
The Decision Systems Lab/Centre for Oncology Informatics has initiated a new collaboration with the Liverpool Hospital on radiation oncology decision support, funded by a $114,000 research contract.
Prof. Aditya Ghose presented a keynote at a plenary session of Int'l Conf. on Service-Oriented Computing Workshops on Nov. 16th, 2015 in Goa, India.
Prof. Aditya Ghose has been invited to deliver a keynote at a joint plenary session of the Service-Oriented Enterprise Architecture and Evolutionary Business Process Workshops at the EDOC-2015 conference (Adelaide, September, 2015). His keynote title: "The post-theoretic enterprise: Data-driven evolution of enterprise functionality".
SPEAKER: Dr. Nanjangud C Narendra Principal Engineer Ericsson Research Bangalore
DATE: Thursday, March 31, 2016
TIME: 4pm onwards
TITLE: Towards Cloud-based Decentralized Storage for Internet of Things Data
Abstract: The Internet of Things (IoT) phenomenon is creating a world of billions of connected devices generating enormous amounts of data. That data needs to be stored efficiently so that it can be retrieved easily on demand and acted upon. Current cloud-based solutions, focusing on centralized data collection and storage, would not be adequate for this task, given the sheer volume of data expected to be generated by IoT devices. Despite this, however, very little work has been reported on cloud-based storage tailored for IoT data. To that end, in this paper, we present a decentralized cloud-based storage solution specifically tailored for IoT data. The salient features of our solution are: usage of object storage (such as Ceph) for software-defined storage; and optimal distribution of data among distributed mini-Clouds, which are mini-data centers. We present approaches for the following: optimal mini-Cloud placement to minimize latency of data collection from IoT devices; and data migration among mini-Clouds with a view towards addressing storage capacity issues while minimizing access latency. Throughout our paper, we illustrate our ideas via a realistic running example in the Smart Cities domain, and present experimental results via a proof of concept prototype.
BIO: Dr. Nanjangud C Narendra (NCN) has joined Ericsson Research Bangalore as a Principal Engineer. Prior to joining Ericsson, he worked in MS Ramaiah University, Cognizant, IBM Research, HP India and Motorola India. He has about 22 years R&D experience in the Indian IT industry. His research interests span Software Engineering, Workflow Management, Web Services, Service Oriented Architecture, Cloud Computing and Internet of Things. He has published over 100 papers in international conferences and journals. He has been Program Committee member for several key conferences such as Autonomous Agents and Multi-Agent Systems (AAMAS), International Conference on Service Oriented Computing (ICSOC), IEEE International Cloud Computing Conference; he was also Program Committee for ICSOC (Industry track) in 2012 and ICSOC (Research track) in 2015. He is a member of the Editorial Board of Service Oriented Computing and Applications journal. He is a Senior Member of IEEE and ACM.
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