Policy and profile: Enabling self-knowledge for autonomic systems

被引:1
作者
Carroll, Ray [1 ]
Strassner, John
Cox, Greg
van der Meer, Sven
机构
[1] Waterford Inst Technol, TSSG, Waterford, Ireland
[2] Motorola Labs, Schaumburg, IL USA
来源
LARGE SCALE MANAGEMENT OF DISTRIBUTED SYSTEMS, PROCEEDINGS | 2006年 / 4269卷
关键词
D O I
10.1007/11907466_22
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
ne standard definition of autonomics is that of self-governance, including such properties as self-configuring, self-healing and self-optimizing. To really enable self-anything, however, we must first deliver another 'self-' property-self-knowledge. We define self-knowledge as information about a system enabling it to reason on its own capabilities and actions. This knowledge can come in many forms but we propose that there are essentially two key elements: knowledge of the individual parts of the system, and knowledge about the rules that determine the interaction of these system components. This paper presents a model describing self-knowledge, with policy for defining rules and profiles to express the individual entities knowledge.
引用
收藏
页码:239 / 245
页数:7
相关论文
共 12 条
[1]  
*3GPP, GEN US PROF
[2]  
BERESNEVICHIENE Y, 2003, ROLE CONTEXT BASED S
[3]   Towards knowledge management in autonomic systems [J].
Cofino, T ;
Doganata, Y ;
Drissi, Y ;
Tong, F ;
Kozakov, L ;
Laker, M .
EIGHTH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTERS AND COMMUNICATION, VOLS I AND II, PROCEEDINGS, 2003, :789-794
[4]  
GAMMA E, DESIGN PATTERNS, P163
[5]  
*IMS, LEARN INF PACK
[6]  
KEPHART JO, 2003, IEEE COMPUTER JAN
[7]  
*NIST, ROL BAS ACC CONTR
[8]  
SASHIMA A, 2006, P 29 INT C ADV INF N, V2, P262
[9]  
Strassner J, 2004, POLICY BASED NETWORK
[10]  
STRASSNER J, 2006, NOMS 2006 TUTORI APR