ETS (Efficient, Transparent, and Secured) Self-healing Service for Pervasive Computing Applications

To ensure smooth functioning of numerous handheld devices anywhere anytime, the importance of self-healing mechanism cannot be overlooked. Incorporation of efficient fault detection and recovery in device itself is the quest for long but there is no existing self-healing scheme for devices running in pervasive computing environments that can be claimed as the ultimate solution. Moreover, the highest degree of transparency, security and privacy attainability should also be maintained. ETS Self-healing service, an integral part of our developing middleware named MARKS (Middleware Adaptability for Resource discovery, Knowledge usability, and Self-healing), holds promise for offering all of those functionalities.

[1]  Gordon S. Blair,et al.  Reflection, self-awareness and self-healing in OpenORB , 2002, WOSS '02.

[2]  Dilma Da Silva,et al.  An infrastructure for multiprocessor run-time adaptation , 2002, WOSS '02.

[3]  Sheikh Iqbal Ahamed,et al.  Knowledge Usability and its Characteristics for Pervasive Computing , 2005, PSC.

[4]  Mark Weiser,et al.  Some Computer Science Problems in Ubiquitous Computing , 1993 .

[5]  Bradley R. Schmerl,et al.  Model-based adaptation for self-healing systems , 2002, WOSS '02.

[6]  Wolfgang Trumler,et al.  AMUN: an autonomic middleware for the Smart Doorplate Project , 2005, Personal and Ubiquitous Computing.

[7]  Kishor S. Trivedi,et al.  A methodology for detection and estimation of software aging , 1998, Proceedings Ninth International Symposium on Software Reliability Engineering (Cat. No.98TB100257).

[8]  Klara Nahrstedt,et al.  A Middleware Infrastructure for Active Spaces , 2002, IEEE Pervasive Comput..

[9]  Sheikh Iqbal Ahamed,et al.  MARKS (Middleware Adaptability for Resource Discovery, Knowledge Usability and Self-healing) for Mobile Devices of Pervasive Computing Environments , 2006, Third International Conference on Information Technology: New Generations (ITNG'06).

[10]  Bradley R. Schmerl,et al.  Task-based self-adaptation , 2004, WOSS '04.

[11]  Matteo Sereno,et al.  Fine grained software rejuvenation models , 1998, Proceedings. IEEE International Computer Performance and Dependability Symposium. IPDS'98 (Cat. No.98TB100248).

[12]  Latha A. Kant Design and performance modeling & simulation of self-healing mechanisms for wireless communication networks , 2002, Proceedings 35th Annual Simulation Symposium. SS 2002.

[13]  Yennun Huang,et al.  Software rejuvenation: analysis, module and applications , 1995, Twenty-Fifth International Symposium on Fault-Tolerant Computing. Digest of Papers.

[14]  Priya Narasimhan,et al.  Proactive recovery in distributed CORBA applications , 2004, International Conference on Dependable Systems and Networks, 2004.

[15]  Fred B. Schneider,et al.  Byzantine generals in action: implementing fail-stop processors , 1984, TOCS.

[16]  Sheikh Iqbal Ahamed,et al.  SAFE-RD (secure, adaptive, fault tolerant, and efficient resource discovery) in pervasive computing environments , 2005, International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume II.

[17]  Richard N. Taylor,et al.  Towards architecture-based self-healing systems , 2002, WOSS '02.

[18]  Mahadev Satyanarayanan,et al.  Fundamental challenges in mobile computing , 1996, PODC '96.

[19]  Priya Narasimhan,et al.  A Middleware for Dependable Distributed Real-Time Systems , 2003 .

[20]  Anand Ranganathan,et al.  Towards fault tolerance pervasive computing , 2005, IEEE Technology and Society Magazine.

[21]  Dr. Talal Alkharobi Secret sharing , 2022 .

[22]  Kishor S. Trivedi,et al.  Adaptive software rejuvenation: degradation model and rejuvenation scheme , 2003, 2003 International Conference on Dependable Systems and Networks, 2003. Proceedings..