Trends in cooperative distributed problem solving

Durfee, Edmund H.; Lesser, Victor; Corkill, Daniel D.

doi:10.1109/69.43404

Cited by 337 publications

(142 citation statements)

References 42 publications

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“…A fundamental question is under what conditions should information be shared and what criteria call for information to be kept private. This is an issue when communication between surrogates or processors is a source of computational overhead, an issue often brought up in cooperative distributed problem solving in computer science (Durfee et al 1989).…”

Section: Concluding Remarks and Guidelinesmentioning

confidence: 99%

Parallel surrogate-assisted global optimization with expensive functions – a survey

Haftka

Villanueva

Chaudhuri

2016

Struct Multidisc Optim

199

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Surrogate assisted global optimization is gaining popularity. Similarly, modern advances in computing power increasingly rely on parallelization rather than faster processors. This paper examines some of the methods used to take advantage of parallelization in surrogate based global optimization. A key issue focused on in this review is how different algorithms balance exploration and exploitation. Most of the papers surveyed are adaptive samplers that employ Gaussian Process or Kriging surrogates. These allow sophisticated approaches for balancing exploration and exploitation and even allow to develop algorithms with calculable rate of convergence as function of the number of parallel processors. In addition to optimization based on adaptive sampling, surrogate assisted parallel evolutionary algorithms are also surveyed. Beyond a review of the present state of the art, the paper also argues that methods that provide easy parallelization, like multiple parallel runs, or methods that rely on population of designs for diversity deserve more attention.

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Section: Concluding Remarks and Guidelinesmentioning

confidence: 99%

Parallel surrogate-assisted global optimization with expensive functions – a survey

Haftka

Villanueva

Chaudhuri

2016

Struct Multidisc Optim

199

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“…In (Durfee et al, 1989), MAS is defined as "a loosely coupled network of problem-solver entities that work together to find answers to problems that are beyond the individual capabilities or knowledge of each entity".…”

Section: Multi-agent Systemmentioning

confidence: 99%

Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review

Talib¹,

Atan²,

Abdullah³

et al. 2010

CIS

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The purpose of this literature review is to provide the information about illustrating the usage of Multi-Agent System (MAS) techniques that can be beneficial in cloud computing platform to facilitate security of cloud data storage (CDS) among it. MAS are often distributed and agents have proactive and reactive features which are very useful for cloud data storage security (CDSS). The architecture of the system is formed from a set of agent's communities. This paper of literature review described on the theoretical concept and approach of a security framework as well as a MAS architecture that could be implemented in cloud platform in order to facilitate security of CDS, on how the MAS technology could be utilized in a cloud platform for serving the security that is developed by using a collaborative environment of Java Agent DEvelopment (JADE). In order to facilitate the huge amount of security, our MAS architecture offered eleven security attributes generated from four main security policies of correctness, integrity, confidentially and availability of users' data in the cloud. This paper of literature review also describes an approach that allows us to build a security cloud platform using MAS architecture and this architecture tends to use specialized autonomous agents for specific security services and allows agents to interact to facilitate security of CDS.

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“…For a conceptual characterization of Distributed Problem Solving see Decker et al, 1989;Durfee et al, 1989 . H o wever, so far DPS has been lacking a real computational model.…”

Section: Related Workmentioning

confidence: 99%

Constraint Agents for the Information Age

Andreoli

Borghoff

Pareschi

et al. 1996

J.UCS the Journal of Universal Computer Science

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We propose constraints as the appropriate computational constructs for the design of agents with the task of selecting, merging and managing electronic information coming from such services as Internet access, digital libraries, E-mail, or on-line information repositories. Speci cally, w e i n troduce the framework of Constraint-Based Knowledge Brokers, which are concurrent agents that use so-called signed f e ature c onstraints to represent partially speci ed information and can exibly cooperate in the management of distributed knowledge. We illustrate our approach b y several examples, and we de ne application scenarios based on related technology such a s T elescript and work ow management systems.

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Trends in cooperative distributed problem solving

Cited by 337 publications

References 42 publications

Parallel surrogate-assisted global optimization with expensive functions – a survey

Parallel surrogate-assisted global optimization with expensive functions – a survey

Security Framework of Cloud Data Storage Based on Multi Agent System Architecture: Semantic Literature Review

Constraint Agents for the Information Age

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