NDLI: Memory-enabled autonomic resilient networking

Content Provider	IEEE Xplore Digital Library
Author	Mokhtar, B. Eltoweissy, M.
Copyright Year	2011
Description	Author affiliation: Bradley Dept. of Electr. & Comput. Eng., Virginia Tech, Blacksburg, VA, USA (Mokhtar, B.) \|\| Pacific Northwest Nat. Lab., Richland, WA, USA (Eltoweissy, M.)
Abstract	It is becoming increasingly challenging for the contemporary Internet to satisfy the explosion in networking services and applications with their widely diverse and dynamic QoS requirements and resource demands. For smarter networking management and operations, we hypothesize that next generation networks should be endowed with “memory”-like (i.e., functionally similar to human memory) capabilities and should explicitly manage their resources and services. In this paper, we introduce SmartNet, a new memory-enabled autonomic network architecture that is scalable, resilient and adaptable at runtime. SmartNet's memory, we term NetMem, manages data related to multiple networking concerns, namely application, communication, and resource concerns. SmartNet's NetMem maintains “knowledge” - the fourth networking concern in our networking model - in a distributed knowledge plane that can be rapidly accessed in a simple and systematic way by SmartCells (SmartNet's basic building block) and the services they implement. Each SmartCell has intrinsic monitoring, control and analysis capabilities and can acquire resources on demand. For scalability and to facilitate inter-communications and services' support between SmartCells, regions, termed CellDomains, may be dynamically formed. CellDomains would incorporate favored services or resources. Our simulation results demonstrate an improvement in networking operations with our memory-enabled network management.
Starting Page	132
Ending Page	141
File Size	1212537
Page Count	10
File Format	PDF
ISBN	9781467306836
e-ISBN	9781936968367
e-ISBN	9781936968329
DOI	10.4108/icst.collaboratecom.2011.247113
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	ICST
Subject Keyword	Next Generation Networks Network Resilience Quality of service Biologically-inspired Networking Biology Autonomic Management Resilience Runtime Knowledge-enabled Management Computer architecture Cell-Oriented Architecture Biomedical monitoring Monitoring
Content Type	Text
Resource Type	Article

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