Mobile Cloud and Data, One Telekom Perspective
Mobile and cloud services, enabled by the confluence of several technologies, have overtaken both the consumer and commercial landscape in terms of keeping businesses and people connected to each other, to their data, and to the services and processing that are important to both.
As consumers, we take our ability to access data and services in the cloud via our mobile devices for granted. When something goes wrong – be it connectivity or disclosure, as examples– we become all too aware of still to be addressed mobile cloud service shortcomings. Cloud service providers and mobile device OS providers and their OEMs are aware of and have to anticipate and protect, to the best of their abilities, their users. Businesses, dependent on cloud service providers, have to ensure their ability to protect data from disclosure or loss, and maintain a rich set of services and high availability to both their customers and internally. Consumers, too, require connectivity and access, protection against loss and other problems. Telecommunication providers are in the middle, enabling mobile cloud and big data services via our networks and, in certain cases, our data centers/clouds for consumers and businesses alike.
As a Telecommunication provider, DT is dependent on 3rd party development and products and, to a different degree, our internal resources for network and mobile software technology. In this talk, I’ll identify some of the challenges faced by DT in the mobile cloud and big data world in providing best-of-class services, and describe one or two examples of the work we, ourselves, do in this mobile cloud and big data space.
About the speaker
Mr. Schreier started his career at Stanford University in the sleep disorders clinic developing software to analyze EEG records. While there, he also attended graduate school and received a Masters in Statistics. After he received his degree he joined SRI International and worked in the areas of Distributed Systems and Data Analytics. After a decade at SRI, Mr. Schreier spent several years at HP in the Video on Demand operation, at HP Labs and, finally, in the Embedded Java Operation before he joined his first startup.
Mr. Schreier worked in a total of four startups two of which focused on high performance traffic analysis for management applications, and two on traffic analysis as part of recommendation applications. He was recruited to DT in late 2011 to serve as the VP of the T-Labs’ Silicon Valley lab where his group focuses on SDN and mobile technology.
Participatory and Mobile Phone Sensing: Challenges and Opportunities
Participatory sensing is a powerful paradigm in which users participate in the sensing campaign by collecting and crowdsourcing fine-grained information and opinions about events of interest (such as weather monitoring, traffic conditions or accidents, environmental noise and pollution, crime scenes, emergency response, healthcare and wellness management), thus leading to actionable inferences and decisions. However, human interactions with cyber-physical-social systems pose significant challenges in terms of energy efficiency of mobile devices, sensing coverage and localization, user incentives for participation, information quality and reliability, big data and scaling issues, spatio-temporal uncertainty, location and data privacy, trust and security, and so on. For example, due to limited resources of mobile devices, the sensed data are usually offloaded to the cloud and therefore energy-efficient architectures and algorithms, resource and service discovery mechanisms are needed for participatory sensing in the mobile cloud. Another important challenge is how to incentivize the users to provide reliable information. This talk will discuss unique challenges and opportunities in the emerging field of participatory urban sensing with applications to smart cities. Novel solutions will be presented to address some of these challenges along with experimental results from test-bed evaluations. The talk will be concluded with directions for future research.
About the speaker
Sajal K. Das, an IEEE Fellow, is currently the Chair of Computer Science Department and Daniel St. Clair Endowed Chair in Computer Science at the Missouri University of Science and Technology, Rolla. Prior to 2013 he was a Distinguished Scholar Professor of Computer Science and Engineering and Founding Director of the Center for Research in Wireless Mobility and Networking (CReWMaN) at the University of Texas at Arlington. During 2008-2011, he served the US National Science Foundation as a Program Director in the division of Computer Networks and Systems. His current research interests include wireless and sensor networks, mobile and pervasive computing, cyber-physical systems including smart grid and smart healthcare, security and privacy, distributed and cloud computing, biological and social networks, applied graph theory and game theory.