The Clouds distributed operating system: functional description, implementation details and related work

Dasgupta, Partha; LeBlanc, Richard J.; Appelbe, William F.

doi:10.1109/dcs.1988.12493

Cited by 49 publications

(14 citation statements)

References 7 publications

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“…In object-based systems objects are used to provide encapsulation. Examples of such systems include [16,17,38]. In some sense, server-based designs can also be considered as object-based, where a server is a largegrained object.…”

Section: Layering and Composition Based Reuse Of Code The X-mentioning

confidence: 98%

Customized Message Passing

Islam

1997

Journal of Parallel and Distributed Computing

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Section: Layering and Composition Based Reuse Of Code The X-mentioning

confidence: 98%

Customized Message Passing

Islam

1997

Journal of Parallel and Distributed Computing

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“…In the last decade, several micro-kernel operating systems have been proposed and implemented [13,14,15,16]. Operating system services are provided as server processes.…”

Section: Other Paradigms For Extensible Operating Systemsmentioning

confidence: 99%

Push: An experimental facility for implementing distributed database services in operating systems

Bhargava

Mafla

Riedl

1993

Journal of Systems Integration

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Abstract. Distributed database systems need special operating system support. Support routines can be implemented inside the kernel or at the user level. Kernel-level functions, while efficient, are hard to implement. User-level implementations are easier but suffer from poor performance and lack of security. This article proposes a new approach to supplement or modify kernel facilities for database transaction processing. Our experimental facility, called Push, is based on an extension language interpreted within the kernel. Our implementation provides the efficiency of kernel-resident code as well as the simplicity and safety of user level programming. This facility enables experimentation that would be difficult and time consuming in current enviromnents. The overhead of the Push implementation can be factored out to give a good estimate of the performance of a native kernel implementation. We have used Push to implement several kernel-resident services. In the case of multi-RPC and commit protocols, Push implementations significantly improve performance and scalability over user-level implementa tions. The experiments show the benefits of Push both as an operational tool for improving transaction processing performance and as an experimental tool for investigating the benefits of operating systems extension without costly implementation.

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“…While hardware-based solutions are used in multiprocessor systems to maintain the coherence of the caches, DSM systems solve this M. RAMACHANDRAN AND M. $INGHAL problem in software. Maintaining the coherence of shared pages has been the focus of the research in DSM systems [Bennett et al 1990;Bisiani and Ravishankar 1990;Dasgupta et al 1988;Nitzberg and Lo 1991;Tam et al 1990].…”

Section: Introductionmentioning

confidence: 99%

Decentralized semaphore support in a virtual shared-memory system

Ramachandran

Singhal

1995

J Supercomput

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Abstract. Distributed shared memory has increasingly become a desirable programming model on which to program multicomputer systems. Such systems strike a balance between the performance attainable in distributedmemory multiprocessors and the ease of programming on shared-memory systems. In shared-memory systems, concurrent tasks communicate through shared variables, and synchronization of access to shared data is an important issue. Semaphores have been traditionally used to provide this synchronization. In this paper we propose a decentralized scheme to support semaphores in a virtual shared-memory system. Our method of grouping semaphores into semaphore pages and caching a semaphore at a processor on demand eliminates the reliability problems and bottlenecks associated with centralized schemes. We compare the performance of our scheme with a centralized implementation of semaphores and conclude that our system performs better under high semaphore access rates as well as larger numbers of processors.

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The Clouds distributed operating system: functional description, implementation details and related work

Cited by 49 publications

References 7 publications

Customized Message Passing

Customized Message Passing

Push: An experimental facility for implementing distributed database services in operating systems

Decentralized semaphore support in a virtual shared-memory system

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