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Software portability

About: Software portability is a research topic. Over the lifetime, 8987 publications have been published within this topic receiving 164922 citations. The topic is also known as: portability.


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Journal ArticleDOI
TL;DR: A novel automated, modular, multi-layer and portable cloud monitoring framework that is capable of automatically adapting when elasticity actions are enforced to either the cloud service or to the monitoring topology and is recoverable from faults introduced in the monitoring configuration with proven scalability and low runtime footprint.
Abstract: Automatic resource provisioning is a challenging and complex task. It requires for applications, services and underlying platforms to be continuously monitored at multiple levels and time intervals. The complex nature of this task lays in the ability of the monitoring system to automatically detect runtime configurations in a cloud service due to elasticity action enforcement. Moreover, with the adoption of open cloud standards and library stacks, cloud consumers are now able to migrate their applications or even distribute them across multiple cloud domains. However, current cloud monitoring tools are either bounded to specific cloud platforms or limit their portability to provide elasticity support. In this article, we describe the challenges when monitoring elastically adaptive multi-cloud services. We then introduce a novel automated, modular, multi-layer and portable cloud monitoring framework. Experiments on multiple clouds and real-life applications show that our framework is capable of automatically adapting when elasticity actions are enforced to either the cloud service or to the monitoring topology. Furthermore, it is recoverable from faults introduced in the monitoring configuration with proven scalability and low runtime footprint. Most importantly, our framework is able to reduce network traffic by 41 percent, and consequently the monitoring cost, which is both billable and noticeable in large-scale multi-cloud services.

31 citations

Proceedings ArticleDOI
01 Aug 2000
TL;DR: The system embodies a modular concept which allows easy integration of new or modified components and is available as open source code and has been successfully compiled on POSIX- and Microsoft Windows-compliant platforms.
Abstract: Presents a robust software infrastructure for metacomputing. The system is intended to be used by others as a building block for large and powerful computational grids. Much effort has been taken to develop a fault-tolerant architecture that does not exhibit a single point of failure. Furthermore, we have designed the system to be modular, lean and portable. It is available as open source code and has been successfully compiled on POSIX- and Microsoft Windows-compliant platforms. The system does not originate from a laboratory environment but has proven its robustness within two large metacomputing installations. It embodies a modular concept which allows easy integration of new or modified components. Hence, it is not necessary to buy into the system as whole. We rather encourage others to use only those components that fit into their specific environments.

30 citations

Journal ArticleDOI
TL;DR: This paper describes a C compiler that uses abstract machine modelling to achieve portability and shows that a small number of very general handwritten patterns yields code that is comparable to the code from compilers that use more sophisticated code generators.
Abstract: machine modelling is a popular technique for developing portable compilers. A compiler can be quickly realized by translating the abstract machine operations to target machine operations. The problem with these compilers is that they trade execution efficiency for portability. Typically, the code emitted by these compilers runs two to three times slower than the code generated by compilers that employ sophisticated code generators. This paper describes a C compiler that uses abstract machine modelling to achieve portability. The emitted target machine code is improved by a simple, classical rule-directed peephole optimizer. Our experiments with this compiler on four machines show that a small number of very general handwritten patterns (under 40) yields code that is comparable to the code from compilers that use more sophisticated code generators. As an added bonus, compilation time on some machines is reduced by 10 to 20 per cent.

30 citations

Patent
13 Oct 2006
TL;DR: In this article, a technique for improving scalability and portability of a storage management system is described, where the technique may be realized as an indexing table for the backup data based on metadata.
Abstract: A technique for improving scalability and portability of a storage management system is disclosed. In one particular exemplary embodiment, the technique may be realized as a storage management system operatively coupled to a storage system. The storage management system may comprise a plurality of processor modules, wherein each processor module is capable of intercepting write commands directed to the storage system, backing up data associated with the write commands, and generating metadata having timestamps for the backup data. The storage management system may also comprise one or more indexing modules that create one or more indexing tables for the backup data based on the metadata, wherein the one or more indexing modules are in communication with the processor modules and the storage system.

30 citations

Journal ArticleDOI
TL;DR: The Rocker project as mentioned in this paper provides a suite of Docker images with customized R environments for particular tasks, which can increase portability, scaling, reproducibility, and convenience of R users and developers.
Abstract: We describe the Rocker project, which provides a widely-used suite of Docker images with customized R environments for particular tasks. We discuss how this suite is organized, and how these tools can increase portability, scaling, reproducibility, and convenience of R users and developers.

30 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20241
2023580
20221,257
2021290
2020308
2019381