| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045989990 | |
| 005 | 20190830104925 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 190708s2017 gw a ob 001 0 eng d | |
| 020 | ▼a 9783662556955 | |
| 020 | ▼a 9783662556962 (e-book) | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 0 0 | ▼a QA76.545 |
| 082 | 0 0 | ▼a 003/.71 ▼2 23 |
| 084 | ▼a 003.71 ▼2 DDCK | |
| 090 | ▼a 003.71 | |
| 245 | 0 0 | ▼a Transactions on large-scale data- and knowledge-centered systems. ▼n 33 ▼h [electronic resource] / ▼c Abdelkader Hameurlain ... [et al.], editors. |
| 260 | ▼a Berlin, Heidelberg : ▼b Springer, ▼c c2017. | |
| 300 | ▼a 1 online resource (ix, 185 p.) : ▼b ill. | |
| 490 | 1 | ▼a Transactions on Large-Scale Data- and Knowledge-Centered Systems, ▼x 1869-1994 ; ▼v 10430 |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a Lightweight Metric Computation for Distributed Massive Data Streams -- Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure -- Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud -- Cost Optimization of Data Flows Based on Task Re-ordering -- Fusion Strategies for Large-Scale Multi-Modal Image Retrieval. |
| 520 | ▼a The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Database management. |
| 650 | 0 | ▼a Expert systems (Computer science). |
| 650 | 0 | ▼a Large scale systems. |
| 700 | 1 | ▼a Hameurlain, Abdelkader. |
| 830 | 0 | ▼a Transactions on Large-Scale Data- and Knowledge-Centered Systems ; ▼v 10430. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=https://doi.org/10.1007/978-3-662-55696-2 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 003.71 | 등록번호 E14015532 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.
This, the 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
New feature
The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments.
This, the 33rd issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains five revised selected regular papers. Topics covered include distributed massive data streams, storage systems, scientific workflow scheduling, cost optimization of data flows, and fusion strategies.
정보제공 :
목차
·Lightweight Metric Computation for Distributed Massive Data Streams ·Performance Analysis of Object Store Systems in a Fog and Edge Computing Infrastructure ·Scientific Workflow Scheduling with Provenance Data in a Multisite Cloud ·Cost Optimization of Data Flows Based on Task Re-ordering ·Fusion Strategies for Large-Scale Multi-Modal Image Retrieval.
