Mobile Cloud for Assistive Healthcare (MoCAsH)

Deploying state-of-the-art technologies is vital and inevitable in assistive healthcare to cope with emerging services such as remote monitoring, collaborative consultation, and electronic health record. Grid computing has succeeded somewhat in enabling the sharing of resources across organizations but has not been deployed widely due to its complex implementation and interface. Cloud computing overcomes this aspect by allowing simple and easy user access, coping with users’ dynamic and elastic demands, providing metered usage for its resources and hence is increasingly being adopted by individual users as well as enterprise users. The Cloud may just be the right technology for healthcare infrastructure. However, several serious issues concerning security, data protection and ownership, quality of services, and mobility need to be resolved before Cloud computing can be widely adopted.. This paper proposes Mobile Cloud for Assistive Healthcare (MoCAsH) as an infrastructure for assistive healthcare. Besides inheriting the advantages of Cloud computing, MoCAsH embraces important concepts of mobile sensing, active sensor records, and collaborative planning by deploying intelligent mobile agents, context-aware middleware, and collaborative protocol for efficient resource sharing and planning. MoCAsH addresses security and privacy issues by deploying selective and federated P2P Cloud to protect data, preserve data ownership and strengthen aspects of security. It also addresses various quality-of-service issues concerning critical responses and energy consumption.

[1]  Geoffrey C. Fox,et al.  Using clouds to provide grids with higher levels of abstraction and explicit support for usage modes , 2009 .

[2]  Henry A. Kautz,et al.  Location-Based Activity Recognition using Relational Markov Networks , 2005, IJCAI.

[3]  D. Jaron,et al.  Healthcare technology, economics, and policy: an evolving balance , 2003, IEEE Engineering in Medicine and Biology Magazine.

[4]  N. F. Ahmad,et al.  Robust preprocessing for health care monitoring framework , 2009, 2009 11th International Conference on e-Health Networking, Applications and Services (Healthcom).

[5]  Susana Sargento,et al.  Architecture for context-aware multiparty delivery in mobile heterogeneous networks , 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

[6]  D.B. Hoang,et al.  Assistive care loop with electronic maternity records , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.

[7]  Denis Gracanin,et al.  A comparison of SOAP and REST implementations of a service based interaction independence middleware framework , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[8]  John A. Stankovic,et al.  Context-aware wireless sensor networks for assisted living and residential monitoring , 2008, IEEE Network.

[9]  Bruno Schulze,et al.  Using clouds to address grid limitations , 2008, MGC '08.

[10]  Shantenu Jha,et al.  Using Clouds to Provide Grids Higher-levels of Abstrac- Tion and Explicit Support for Usage Modes , 2008 .

[11]  Elaine Lawrence,et al.  An Active Grid infrastructure for elderly care , 2008, Journal of telemedicine and telecare.

[12]  Luca Ardito,et al.  Towards an Efficient Context-Aware System: Problems and Suggestions to Reduce Energy Consumption in Mobile Devices , 2010, 2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR).

[13]  Martin L. Griss,et al.  Overseer: A Mobile Context-Aware Collaboration and Task Management System for Disaster Response , 2010, 2010 Eighth International Conference on Creating, Connecting and Collaborating through Computing.

[14]  Gregory D. Abowd,et al.  The Aware Home: A Living Laboratory for Ubiquitous Computing Research , 1999, CoBuild.

[15]  Heon Young Yeom,et al.  Intelligent Management of Remote Facilities through a Ubiquitous Cloud Middleware , 2009, 2009 IEEE International Conference on Cloud Computing.

[16]  Brian Hayes,et al.  What Is Cloud Computing? , 2019, Cloud Technologies.

[17]  Motaz Saad,et al.  Performance Evaluation of RESTful Web Services for Mobile Devices , 2010, Int. Arab. J. e Technol..

[18]  P N T Wells,et al.  Can technology truly reduce healthcare costs? , 2003, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[19]  Jorge Werner,et al.  A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions , 2010, 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine.

[20]  Matthias Jarke,et al.  Scalable Mobile Web Services Mediation Framework , 2010, 2010 Fifth International Conference on Internet and Web Applications and Services.

[21]  Doan B. Hoang,et al.  A Hierarchy Energy Driven Architecture for Wireless Sensor Networks , 2010, 2010 IEEE 24th International Conference on Advanced Information Networking and Applications Workshops.