A Compiler and Runtime Infrastructure for Automatic Program Distribution

Diaconescu, Roxana; Wang, Lei; Mouri, Zachary; Chu, Matt

doi:10.21236/ada437431

Cited by 7 publications

(3 citation statements)

References 8 publications

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“…Application analysis and partitioning: There are several approaches that aim at automatic application partitioning for imperative programming languages such as Java [7,13,31] or Microsoft's Component Object Model (COM) [24]. These approaches use middleware-based object communication, i.e.…”

Section: Related Workmentioning

confidence: 99%

Demaq/Transscale: Automated distribution and scalability for declarative applications

Böhm

Kanne

2011

Information Systems

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Section: Related Workmentioning

confidence: 99%

Demaq/Transscale: Automated distribution and scalability for declarative applications

Böhm

Kanne

2011

Information Systems

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“…In our approach, application components are realized as Java objects. There are several Java automatic partitioning tools [12,13,14], however, they only detect interaction at the class level, and therefore perform partitioning at the level of class granularity and limits the opportunity to exploit object level concurrency. To our knowledge, Spiegel's Pangaea [15] is the only system that performs analysis at the object level.…”

Section: Application Graph Constructionmentioning

confidence: 99%

On Utility Driven Deployment in a Distributed Environment

Deb

Oudshoorn

2007

Fourth IEEE International Workshop on Engineering of Autonomic and Autonomous Systems (EASe'07)

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By harnessing the computational power of distributed heterogeneous resources, it is possible to build a large scale integrated system so that a centralized program is partitioned and distributed across those resources in a way that maximizes the system's overall utility. However, building such a system is a staggering challenge because of the associated complexities. This paper proposes a selfmanaging distributed system ADE, that incorporates autonomic entities to handle the complexities associated with distribution, coordination and efficient execution of program components. The proposed approach models a centralized application in terms of an application graph consisting application components and then deploys the application components across the underlying hierarchically organized distributed resources so that all constraints and requirements are satisfied and the system's overall utility is maximized. Then, based on the observations obtained by the monitoring of the system resources, ADE redeploys the application graph to maintain maximized system utilization in spite of the dynamism and uncertainty involved in the system.

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“…Several recent works are classified as automatic partitioning system [18][19][20][21] and have similar goal of distributing an existing centralized application without rewriting the application's source code or modifying the existing runtime environment. The main difference between these systems and ADE is that ADE's partitioning and distribution decisions are utility driven.…”

Section: Related Workmentioning

confidence: 99%

ADE: Utility Driven Self-management in a Networked Environment

Deb¹,

Fuad²,

Oudshoorn³

2007

JCP

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ADE, autonomic distributed environment, is a system which engages autonomic elements to automatically take an existing centralized application and distribute it across available resources. The autonomic elements provide self-management to handle the complexities associated with distribution, configuration, coordination and efficient execution of program components. The proposed approach models a centralized application in terms of an application graph consisting application components and then deploys the application components across the underlying utility - aware hierarchically organized distributed resources so that all constraints and requirements are satisfied and the system’s overall utility is maximized. Then, based on the observations obtained by the monitoring of the system resources, ADE redeploys the application graph to maintain maximized system utilization in spite of the dynamism and uncertainty involved in the system. One important aspect of ADE is that, the deployment decisions can be made based solely on locally available information and without costly global communication or synchronization. The proposed model is therefore decentralized and adaptive.

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A Compiler and Runtime Infrastructure for Automatic Program Distribution

Abstract: Abstract

Cited by 7 publications

References 8 publications

Demaq/Transscale: Automated distribution and scalability for declarative applications

Demaq/Transscale: Automated distribution and scalability for declarative applications

On Utility Driven Deployment in a Distributed Environment

ADE: Utility Driven Self-management in a Networked Environment

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