語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
到查詢結果
[ author_sort:"wirsing, martin." ]
切換:
標籤
|
MARC模式
|
ISBD
Software engineering for collective ...
~
SpringerLink (Online service)
Software engineering for collective autonomic systemsThe ASCENS Approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Software engineering for collective autonomic systemsedited by Martin Wirsing ... [et al.].
其他題名:
The ASCENS Approach /
其他作者:
Wirsing, Martin.
出版者:
Cham :Springer International Publishing :2015.
面頁冊數:
xiv, 535 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
Software engineering.
電子資源:
http://dx.doi.org/10.1007/978-3-319-16310-9
ISBN:
9783319163109 (electronic bk.)
Software engineering for collective autonomic systemsThe ASCENS Approach /
Software engineering for collective autonomic systems
The ASCENS Approach /[electronic resource] :edited by Martin Wirsing ... [et al.]. - Cham :Springer International Publishing :2015. - xiv, 535 p. :ill., digital ;24 cm. - Lecture notes in computer science,89980302-9743 ;. - Lecture notes in computer science ;4891..
The SCEL Language: Design, Implementation, Verification -- Reconfigurable and Software-Defined Networks of Connectors and Components -- Correctness of Service Components and Service Component Ensembles -- Reconciling White-Box and Black-Box Perspectives on Behavioral Self-adaptation -- From Local to Global Knowledge and Back -- Knowledge Representation for Adaptive and Self-aware Systems -- Reasoning and Learning for Awareness and Adaptation -- Supporting Performance Awareness in Autonomous Ensembles -- The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems -- Methodological Guidelines for Engineering Self-organization and Emergence -- Engineering Requirements for Autonomy Features -- The Invariant Refinement Method -- The ASCENS Case Studies: Results and Common Aspects -- Adaptation and Awareness in Robot Ensembles: Scenarios and Algorithms -- The Autonomic Cloud -- The E-mobility Case Study.
A collective autonomic system consists of collaborating autonomic entities which are able to adapt at runtime, adjusting to the state of the environment and incorporating new knowledge into their behavior. These highly dynamic systems are also known as ensembles. To ensure correct behavior of ensembles it is necessary to support their development through appropriate methods and tools which can guarantee that an autonomic system lives up to its intended purpose; this includes respecting important constraints of the environment. This State-of-the-Art Survey addresses the engineering of such systems by presenting the methods, tools and theories developed within the ASCENS project. ASCENS was an integrated project funded in the period 2010-2015 by the 7th Framework Programme (FP7) of the European Commission as part of the Future Emerging Technologies Proactive Initiative (FET Proactive) The 17 contributions included in this book are organized in four parts corresponding to the research areas of the project and their concrete applications: (I) language and verification for self-awareness and self-expression, (II) modeling and theory of self-aware and adaptive systems, (III) engineering techniques for collective autonomic systems, and last but not least, (IV) challenges and feedback provided by the case studies of the project in the areas of swarm robotics, cloud computing and e-mobility.
ISBN: 9783319163109 (electronic bk.)
Standard No.: 10.1007/978-3-319-16310-9doiSubjects--Topical Terms:
184729
Software engineering.
LC Class. No.: QA76.758
Dewey Class. No.: 005.1
Software engineering for collective autonomic systemsThe ASCENS Approach /
LDR
:03380nmm a2200325 a 4500
001
462552
003
DE-He213
005
20151022171453.0
006
m d
007
cr nn 008maaau
008
151119s2015 gw s 0 eng d
020
$a
9783319163109 (electronic bk.)
020
$a
9783319163093 (paper)
024
7
$a
10.1007/978-3-319-16310-9
$2
doi
035
$a
978-3-319-16310-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.758
072
7
$a
UMZ
$2
bicssc
072
7
$a
COM051230
$2
bisacsh
082
0 4
$a
005.1
$2
23
090
$a
QA76.758
$b
.S681 2015
245
0 0
$a
Software engineering for collective autonomic systems
$h
[electronic resource] :
$b
The ASCENS Approach /
$c
edited by Martin Wirsing ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2015.
300
$a
xiv, 535 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
8998
505
0
$a
The SCEL Language: Design, Implementation, Verification -- Reconfigurable and Software-Defined Networks of Connectors and Components -- Correctness of Service Components and Service Component Ensembles -- Reconciling White-Box and Black-Box Perspectives on Behavioral Self-adaptation -- From Local to Global Knowledge and Back -- Knowledge Representation for Adaptive and Self-aware Systems -- Reasoning and Learning for Awareness and Adaptation -- Supporting Performance Awareness in Autonomous Ensembles -- The Ensemble Development Life Cycle and Best Practices for Collective Autonomic Systems -- Methodological Guidelines for Engineering Self-organization and Emergence -- Engineering Requirements for Autonomy Features -- The Invariant Refinement Method -- The ASCENS Case Studies: Results and Common Aspects -- Adaptation and Awareness in Robot Ensembles: Scenarios and Algorithms -- The Autonomic Cloud -- The E-mobility Case Study.
520
$a
A collective autonomic system consists of collaborating autonomic entities which are able to adapt at runtime, adjusting to the state of the environment and incorporating new knowledge into their behavior. These highly dynamic systems are also known as ensembles. To ensure correct behavior of ensembles it is necessary to support their development through appropriate methods and tools which can guarantee that an autonomic system lives up to its intended purpose; this includes respecting important constraints of the environment. This State-of-the-Art Survey addresses the engineering of such systems by presenting the methods, tools and theories developed within the ASCENS project. ASCENS was an integrated project funded in the period 2010-2015 by the 7th Framework Programme (FP7) of the European Commission as part of the Future Emerging Technologies Proactive Initiative (FET Proactive) The 17 contributions included in this book are organized in four parts corresponding to the research areas of the project and their concrete applications: (I) language and verification for self-awareness and self-expression, (II) modeling and theory of self-aware and adaptive systems, (III) engineering techniques for collective autonomic systems, and last but not least, (IV) challenges and feedback provided by the case studies of the project in the areas of swarm robotics, cloud computing and e-mobility.
650
0
$a
Software engineering.
$3
184729
650
0
$a
Autonomic computing.
$3
299107
650
1 4
$a
Computer Science.
$3
212513
650
2 4
$a
Software Engineering.
$3
274511
650
2 4
$a
Logics and Meanings of Programs.
$3
275357
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
274102
650
2 4
$a
Programming Techniques.
$3
274470
650
2 4
$a
Mathematical Logic and Formal Languages.
$3
275383
650
2 4
$a
Artificial Intelligence (incl. Robotics)
$3
252959
700
1
$a
Wirsing, Martin.
$3
277875
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-16310-9
950
$a
Computer Science (Springer-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000112255
電子館藏
1圖書
電子書
EB QA76.758 S681 2015
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-16310-9
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入