Charlotte: Metacomputing on the Web

Baratloo, A.; Karaul, Mehmet; Kedem, Zvi M.; Wijckoff, P.

doi:10.1016/s0167-739x(99)00009-6

Cited by 151 publications

(108 citation statements)

References 15 publications

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“…To the best of our knowledge, the first implementation of the idea was Charlotte [7], appearing in 1996. The applications had to be written especially for Charlotte and had limited scalability (as its intended use was limited to the authors' home university).…”

Section: The First Generation: Dead Applets Societymentioning

confidence: 99%

“…Communication between different worker nodes is hard because of browser's security model. One solution is to route messages via the central server [7][16]. In [6], applets use RMI for direct applet-to-applet communication.…”

Section: Task-to-task Communicationmentioning

confidence: 99%

“…Assigning tasks in round-robin fashion may result in natural redundancy and achieving natural resistance to worker node failures [50][55] [63][67] [70]. Task re-allocation has positive side-effect of ensuring the computation is not blocked by slowest worker nodes [7][68]. Dealing with faults might be left to the developer, who may choose to ignore lost results [64].…”

Section: Fault Tolerancementioning

confidence: 99%

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Browser-based Harnessing of Voluntary Computational Power

Fabisiak

Danilecki

2017

Foundations of Computing and Decision Sciences

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Abstract. Computers connected to internet represent an immense computing power, mostly unused by their owners. One way to utilize this public resource is via world wide web, where users can share their resources using nothing more except their browsers. We survey the techniques employing the idea of browser-based voluntary computing (BBVC), discuss their commonalities, recognize recurring problems and their solutions and finally we describe a prototype implementation aiming at efficient mining of voluntary-contributed computing power.

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Section: The First Generation: Dead Applets Societymentioning

confidence: 99%

Section: Task-to-task Communicationmentioning

confidence: 99%

Section: Fault Tolerancementioning

confidence: 99%

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Browser-based Harnessing of Voluntary Computational Power

Fabisiak

Danilecki

2017

Foundations of Computing and Decision Sciences

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“…While many remote computing technologies and services were developed in support of such a vision, the real development toward gird computing was taking place during the 1990s. These included projects like Condor [62], Metasystems [64], Utopia [65], Legion [66], I-Way [67], Charlotte [68], and Popcorn [69].…”

Section: Grid Computingmentioning

confidence: 99%

High‐performance computing: to boldly go where no human has gone before

Limet

Smari

Spalazzi

2015

Concurrency and Computation

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International audienceComputing and computational science are well on their way to enter into the exascale era while High Performance Computing (HPC) is now present in many spheres and domains of modern society. New technologies such as cloud computing, big data, and connected objects open many perspectives and possibilities that were unattainable until now. These are high times for computing and for HPC in particular. The High Performance Computing \& Simulation conference aims to bring together researchers working on various aspects of HPC, their design and use, and their applications. As has been the conference tradition, selected extended papers of HPCS 2012 are presented in this special issue. These should be interesting contributions that supplement the current state-of-the-art research in HPC. To relate these works and highlight their value, in this article, we briefly trace back the history of HPC, sketch the state of the present research and development in the field, and project some of the challenges and future trends anticipated

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“…Nimrod-G [8] uses Globus services directly. The use of Java for web-based distributed systems is being pursued extensively [9,10].…”

Section: Related Workmentioning

confidence: 99%

Constructing the ASCI computational grid

Beiriger

Bivens²,

Humphreys³

et al.

Proceedings the Ninth International Symposium on High-Performance Distributed Computing

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The Architecture descriptionThe ASCI grid architecture provides the software infrastructure for an integrated information and simulation environment for the nuclear weapons complex in 2004. The Distributed Resource Management (DRM) project provides grid services to higher level applications. The initial implementation has two development thrusts. Fkst, ASCI requires a core integrated environment for job submission to classified ASCI platforms at the three weapons laboratories:Los Alamos (LANL), Lawrence Livermore (LLNL), and Sandia (SNL). G1obus provides these core services, with some extensions for specific ASCI requirements. Second, a software layer above the core services provides a set of common capabilities that support higher-level problem solving environmen( PSES). These capabilities include complex work management and resource brokering. This architecture demonstrates the following features: The use of Globus services for accessing resources in an independent ASCI environment Kerberos-based authentication, grid information authorization and accesss control A Globus interface to the two-tier architecture of Sandia's Computational Plant (Cplantm), a distributed computing resource built of commodity parts CORBA-based work management services to support the coordinated use of multiple resources and complex task sequencing CORBA-based criteria-driven resource brokering that extends job requestiresource matching to support software resources and load-balancing Java-based client for generic work requests Web-based monitoring Integration of the grid infrastructure with CORBA, Java, and Globus-based PSES and tools.The DRM grid services address three aspects of the shift from platform-centric to network-centric computing: software resources, work flow, and co-scheduling. Software resources serve a large class of users and problems where many resources are suitable, and the primary interest is how soon the results can be obtained. Some simulation codes are run by a number of users at different sites, and must be available for many of the grid computing resources. Multiple versions of these codes are maintained to support different users and to ensure reproducibility of results. Requests to "run code X" are satisfied by software resources and brokering. Workflow services manage complex task sequencing in the network environment, analogous to the complex scripts often submitted in a platform environment. Workflow can coordinate computational processing steps, computation and visualization, computation and data movement, or other resource usage. Subtasks are scheduled independently.'Sartdiit is a multiprogram laboratory operated by .%ndia Corporation, a

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Charlotte: Metacomputing on the Web

Cited by 151 publications

References 15 publications

Browser-based Harnessing of Voluntary Computational Power

Browser-based Harnessing of Voluntary Computational Power

High‐performance computing: to boldly go where no human has gone before

Constructing the ASCI computational grid

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