Network and parallel computing : 13th IFIP WG 10.3 International Conference, NPC 2016, Xi'an, China, October 28-29, 2016, proceedings / Guang R. Gao, Depei Qian, Xinbo Gao, Barbara Chapman, Wenguang Chen (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 9966. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Cham, Switzerland : Springer, 2016Description: 1 online resource (x, 213 pages) : illustrationsContent type: - text
- computer
- online resource
- 9783319470993
- 331947099X
- 3319470981
- 9783319470986
- NPC 2016
- Parallel processing (Electronic computers) -- Congresses
- Computer networks -- Congresses
- Parallel computers -- Congresses
- Parallélisme (Informatique) -- Congrès
- Réseaux d'ordinateurs -- Congrès
- Ordinateurs parallèles -- Congrès
- Software Engineering
- Algorithms & data structures
- Information retrieval
- Computer networking & communications
- Computers -- Software Development & Engineering -- General
- Computers -- Programming -- Algorithms
- Computers -- Information Technology
- Computers -- Hardware -- General
- Computer networks
- Parallel computers
- Parallel processing (Electronic computers)
- 004.6/185 23
- QA76.58
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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eBook
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e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed October 28, 2016).
This book constitutes the proceedings of the 13th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2016, held in Xi'an, China, in October 2016. The 17 full papers presented were carefully reviewed and selected from 99 submissions. They are organized in the following topical sections; memory: non-volatile, solid state drives, hybrid systems; resilience and reliability; scheduling and load-balancing; heterogeneous systems; data processing and big data; and algorithms and computational models.
Intro -- Preface -- Organization -- Contents -- Memory: Non-Volatile, Solid State Drives, Hybrid Systems -- VIOS: A Variation-Aware I/O Scheduler for Flash-Based Storage Systems -- 1 Introduction -- 2 Background and Related Work -- 2.1 SSD Organization -- 2.2 Process Variation of Flash Memory -- 2.3 I/O Scheduler for Flash-Based SSDs -- 3 Details of VIOS -- 3.1 Block Management -- 3.2 Global Chip-State Vector -- 3.3 Conflict Optimized Scheduling Mechanism -- 4 Experimental Results -- 4.1 Performance Analysis of VIOS -- 4.2 Sensitivity Analysis of VIOS -- 5 Conclusion -- References
Exploiting Cross-Layer Hotness Identification to Improve Flash Memory System Performance -- 1 Introduction -- 2 Background and Related Work -- 2.1 Tradeoff Between Flash Cell Wearing and Read Latency -- 2.2 Related Work -- 3 Exploiting Cross-Layer Hotness Identification to Improve Read and Endurance Performance (HIRE) -- 3.1 Cross-Layer Study for Hotness Identifier -- 3.2 Voltage Controller in HIRE -- 3.3 Overhead Analysis -- 4 Performance Evaluation -- 4.1 Methodology -- 4.2 Experiment Results -- 5 Conclusion -- References -- Efficient Management for Hybrid Memory in Managed Language Runtime
1 Introduction -- 2 Managed Runtime Background -- 3 Related Work -- 4 Hybrid Memory Management Scheme -- 4.1 Overview -- 4.2 HMprof Offline Performance Instrumentation -- 4.3 Hot Object Marking -- 5 Experimental Methodology -- 6 Evaluation Results -- 6.1 Heap Partition Placement -- 6.2 Hot Object Allocation -- 7 Conclusion -- References -- Resilience and Reliability -- Application-Based Coarse-Grained Incremental Checkpointing Based on Non-volatile Memory -- Abstract -- 1 Introduction -- 2 Background and Motivation -- 2.1 Non-volatile Memory
2.2 Incremental Checkpointing with Non-volatile Memory -- 2.3 The Problem with Current Checkpoint -- 3 Design and Implementation -- 3.1 Contiguous Memory Regions to be Visited -- 3.2 Application-Based Coarse-Grained Checkpoint: Loose Monitoring Granularity for "Hot" Applications -- 3.3 Huge Page Support -- 4 Experiments -- 4.1 Experimental Setup and Benchmarks -- 4.2 Performance Metrics and Corresponding Results -- 5 Related Work -- 6 Conclusion -- Acknowledgments -- References
DASM: A Dynamic Adaptive Forward Assembly Area Method to Accelerate Restore Speed for Deduplication-Based Backup Systems -- 1 Introduction -- 2 Background and Motivation -- 2.1 Data Deduplication -- 2.2 Fragmentation Problem and Restoration Speed -- 2.3 Forward Assembly Area -- 2.4 Our Motivation -- 3 Design of DASM -- 3.1 Dynamic Orthotics -- 3.2 Near-Optimal Cache Policy -- 4 Performance Evaluation -- 4.1 Evaluation Methodology -- 4.2 Experimental Results -- 4.3 Analysis -- 5 Conclusions -- References -- Scheduling and Load-Balancing