Author: Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Third Workshop on Workstation Operating Systems
Author: Third Workshop on Workstation Operating Systems, April 23-24, 1992, Key Biscayne, Florida
Author: Third Workshop on Workstation Operating Systems : Proceedings
Author: Publisher:
ISBN:
Category : Microcomputer workstations
Languages : en
Pages : 168
Book Description
Third Workshop on Workstation Operating Systems, April 23-24, 1992, Key Biscayne, Florida
Author: Fourth Workshop on Workstation Operating System, October 14-15, 1993, Napa, California
Author: Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 222
Book Description
Annotation Proceeding of the workshop held in Napa, California, in October 1993. Topics include mobile computing, memory management, networking, real time. No index. Annotation copyright by Book News, Inc., Portland, OR.
Workstation Operating Systems
Author: Publisher:
ISBN: 9780818625558
Category : Microcomputer workstations
Languages : en
Pages : 192
Book Description
Papers of the April 1992 meeting held in Key Biscayne, Florida on mobile, media, and global computing, 64-bit address space, OS structure, protocols. No index. Annotation copyright Book News, Inc. Portland, Or.
Proceedings
Author: Publisher:
ISBN:
Category : Microcomputer workstations
Languages : en
Pages : 220
Book Description
Replicated Data Management for Mobile Computing
Author: Terry DouglasPublisher: Springer Nature
ISBN: 303102477X
Category : Mathematics
Languages : en
Pages : 93
Book Description
Managing data in a mobile computing environment invariably involves caching or replication. In many cases, a mobile device has access only to data that is stored locally, and much of that data arrives via replication from other devices, PCs, and services. Given portable devices with limited resources, weak or intermittent connectivity, and security vulnerabilities, data replication serves to increase availability, reduce communication costs, foster sharing, and enhance survivability of critical information. Mobile systems have employed a variety of distributed architectures from client–server caching to peer-to-peer replication. Such systems generally provide weak consistency models in which read and update operations can be performed at any replica without coordination with other devices. The design of a replication protocol then centers on issues of how to record, propagate, order, and filter updates. Some protocols utilize operation logs, whereas others replicate state. Systems might provide best-effort delivery, using gossip protocols or multicast, or guarantee eventual consistency for arbitrary communication patterns, using recently developed pairwise, knowledge-driven protocols. Additionally, systems must detect and resolve the conflicts that arise from concurrent updates using techniques ranging from version vectors to read–write dependency checks. This lecture explores the choices faced in designing a replication protocol, with particular emphasis on meeting the needs of mobile applications. It presents the inherent trade-offs and implicit assumptions in alternative designs. The discussion is grounded by including case studies of research and commercial systems including Coda, Ficus, Bayou, Sybase’s iAnywhere, and Microsoft’s Sync Framework. Table of Contents: Introduction / System Models / Data Consistency / Replicated Data Protocols / Partial Replication / Conflict Management / Case Studies / Conclusions / Bibliography
Input-output Performance Evaluation
Author: University of California, Berkeley. Computer Science DivisionPublisher:
ISBN:
Category : Supercomputers
Languages : en
Pages : 286
Book Description
This dissertation's self-scaling benchmark seeks to measure and report relevant workloads for a wide range of input/output systems. To do so, it scales aspects of its workload to account for the differences in I/O systems. For example, it dynamically discovers the size of the system's file cache and reports how performance varies both in and out of the file cache. The general approach taken is to scale based on the range of workloads the system performs well.
Author: