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Looking ahead in Pervasive Computing: Challenges, Opportunities in the era of Cy

Looking ahead in Pervasive Computing: Challenges, Opportunities in the era of Cyber Physical Convergence. Authors :

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Looking ahead in Pervasive Computing: Challenges, Opportunities in the era of Cy

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  1. Looking ahead in Pervasive Computing: Challenges, Opportunities in the era of Cyber Physical Convergence Authors : Marco Conti, Sajal K. Das, Chatschik Bisdikian, Mohan Kumar, Lionel M. Ni, Andrea Passarella, George Roussos, Gerhard Troster, Gene Tsudik, Franco Zambonelli. Presented by : Srujan Kusumba

  2. Introduction • Pervasive Computing • Cyber Physical Convergence • Connected and available • Information flow from the physical to the cyber world, and vice-versa

  3. Human social structures play a crucial role in the information spread in Cyber world. • Human social networks exhibit remarkable dynamism and structural properties that may affect the quality of information.

  4. Problems addressed • Huge amount of information • Adaptation • Human social structure • Security

  5. Opportunities and Challenges in CPC Autonomic behavior of cyber world Cyber infrastructure should be dynamically connect and interact with each other and adapt themselves to rapidly changing physical world. • Limitations • Autonomic approach proposes “Add-ons” to be integrated in the existing framework which makes current framework even more complex.

  6. Challenges The goal is making such systems inherently capable of autonomic self management and adaptation at the collective level. • Comprehensive awareness • Power of masses • Decentralized Control

  7. Studying Physical world from Cyber world • The knowledge of the human behavior is a fundamental step for tuning the pervasive applications to the users context • Challenges • Exploring human dynamics and social networks with pervasive computing techniques • Information captured in pervasive computing way allows for the analysis, modeling and experimentation with human behaviors at the individual as well as social levels. • Research in pervasive computing is presented with a unique opportunity to understand and manage the dynamics of human behavior in order to make pervasive computing systems more usable and tractable.

  8. Ex: Dartmouth Campus project Cityware Urban Tapestries Senseable City Limitation: The majority of current work in this area is primarily exploratory in nature and has been restricted to one or a small subset of factors. • Wearable computing: Is a fundamental tool for continuously monitoring human behavior. And it plays an important role in observing/measuring human behaviors from the virtual world

  9. Cyber world paradigms enabled by physical world interactions • Exploiting human relationships in the virtual world is adding new dimensions to pervasive computing and communications paradigms. Specifically, this gives rise to the concept of the Opportunistic Networking and Computing (ONC) paradigm. • Opportunistic networking can be viewed as a natural evolution of ad hoc networking and the original concept of disruption tolerant networking (DTN).

  10. Information management in the cyber–physical world • Huge amount of information will be generated by several sources both in the physical and in the virtual world which need to be stored for future processing. • In order to use this huge amount of heterogeneous data coming from a variety of sources, the quality of such data needs to be evaluated and taken into consideration before using it. • Challenges : Data storage challenges Quality of information

  11. Data Storage Challenges : • Scalability: Computations on multi-petabytes of data inevitably pose significant challenges. Even a relatively simple operation becomes complex when dealing with multi-petabyte data. For example, a single sequential scan requires less than a second to go through a terabyte, while over a year to finish through a petabyte. • Complexity: The structure of the data tends to be complex. For example, in a typical digital city system, data may be time series with spatial attributes (e.g., moving taxies), or spatial objects with extent (e.g., rivers, buildings..) • Flexibility : Most query loads are highly unpredictable, with up to 90% of queries being new. To enable high flexibility, a system should be vitalized enough to sense the variations of query loads, predict the potential future queries, and reorganize data.

  12. Cyber world security The proliferation of small and increasingly inexpensive computing devices in the environment, prompts a number of challenges related to their security and privacy. Attestation and code update for embedded devices, networks Embedded devices have been increasing both in number and variety. As they increase there are great chances of malware producers sending virus and worms into your devices. • Secure Hardware • Pure Software

  13. Conclusion • Convergence will be characterized by huge amount of information flowing from the physical world to the cyber world • The complexity of the cyber world, and the need to adapt its behavior to the human/social context • Security of the devices must be a concern because of malware producers.

  14. References : http://www.cs.odu.edu/~nadeem/classes/cs795-CPS-S13/papers/intro-003.pdf http://www.webopedia.com/TERM/P/pervasive_computing.html

  15. Thank you, Srujan Kusumba

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