scholarly journals An SOA-Based Model for the Integrated Provisioning of Cloud and Grid Resources

2012 ◽  
Vol 2012 ◽  
pp. 1-19
Author(s):  
Andrea Bosin
Keyword(s):  
High Performance ◽  
Service Oriented Architecture ◽  
On Demand ◽  
Computing Model ◽  
Networked Computing ◽  
Service Oriented ◽  
Computing Grid ◽  
Grid Resources ◽  
Performance Computing

In the last years, the availability and models of use of networked computing resources within reach of e-Science are rapidly changing and see the coexistence of many disparate paradigms: high-performance computing, grid, and recently cloud. Unfortunately, none of these paradigms is recognized as the ultimate solution, and a convergence of them all should be pursued. At the same time, recent works have proposed a number of models and tools to address the growing needs and expectations in the field of e-Science. In particular, they have shown the advantages and the feasibility of modeling e-Science environments and infrastructures according to the service-oriented architecture. In this paper, we suggest a model to promote the convergence and the integration of the different computing paradigms and infrastructures for the dynamic on-demand provisioning of resources from multiple providers as a cohesive aggregate, leveraging the service-oriented architecture. In addition, we propose a design aimed at endorsing a flexible, modular, workflow-based computing model for e-Science. The model is supplemented by a working prototype implementation together with a case study in the applicative domain of bioinformatics, which is used to validate the presented approach and to carry out some performance and scalability measurements.

Resource Provisioning for e-Science Environments

2013 ◽  
Vol 5 (1) ◽  
pp. 1-24
Author(s):  
Andrea Bosin
Keyword(s):  
High Performance ◽  
Service Oriented Architecture ◽  
Resource Provisioning ◽  
Architecture Model ◽  
Collaborative Environment ◽  
Networked Computing ◽  
Service Oriented ◽  
Computing Grid ◽  
High Flexibility ◽  
Performance Computing

Recent works have proposed a number of models and tools to address the growing needs and expectations in the field of e-Science. At the same time, the availability and models of use of networked computing resources needed by e-Science are rapidly changing and see the coexistence of many disparate paradigms: high performance computing, grid and recently cloud, which brings very promising expectations due to its high flexibility. In this paper we suggest a model to promote the convergence and the integration of different computing paradigms and infrastructures for the dynamic on-demand provisioning of the resources needed by e-Science environments, leveraging the Service-Oriented Architecture model. In addition, its design aims at endorsing a flexible, modular, workflow-based collaborative environment for e-Science. A working implementation used to validate the proposed approach is described together with some performance tests.

scholarly journals GITIRBio: A Semantic and Distributed Service Oriented- Architecture for Bioinformatics Pipeline

2015 ◽  
Vol 12 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Luis F. Castillo ◽  
Germán López-Gartner ◽  
Gustavo A. Isaza ◽  
Mariana Sánchez ◽  
Jeferson Arango ◽  
...  
Keyword(s):  
High Performance ◽  
Service Oriented Architecture ◽  
Command Line ◽  
Bioinformatics Pipeline ◽  
Front End ◽  
First Approximation ◽  
Service Oriented ◽  
Computational Resources ◽  
Multiple Sequences ◽  
Performance Computing

Summary The need to process large quantities of data generated from genomic sequencing has resulted in a difficult task for life scientists who are not familiar with the use of command-line operations or developments in high performance computing and parallelization. This knowledge gap, along with unfamiliarity with necessary processes, can hinder the execution of data processing tasks. Furthermore, many of the commonly used bioinformatics tools for the scientific community are presented as isolated, unrelated entities that do not provide an integrated, guided, and assisted interaction with the scheduling facilities of computational resources or distribution, processing and mapping with runtime analysis. This paper presents the first approximation of a Web Services platform-based architecture (GITIRBio) that acts as a distributed front-end system for autonomous and assisted processing of parallel bioinformatics pipelines that has been validated using multiple sequences. Additionally, this platform allows integration with semantic repositories of genes for search annotations. GITIRBio is available at: http://c-head.ucaldas.edu.co:8080/gitirbio

scholarly journals Building messaging substrates for Web and Grid applications

2005 ◽  
Vol 363 (1833) ◽  
pp. 1757-1773 ◽  
Author(s):  
Geoffrey Fox ◽  
Shrideep Pallickara ◽  
Marlon Pierce ◽  
Harshawardhan Gadgil
Keyword(s):  
Web Services ◽  
High Performance ◽  
Service Oriented Architecture ◽  
Distributed Applications ◽  
Client Server ◽  
Service Oriented ◽  
Grid Applications ◽  
Core Areas ◽  
Grid Application ◽  
Performance Computing

Grid application frameworks have increasingly aligned themselves with the developments in Web services. Web services are currently the most popular infrastructure based on service-oriented architecture (SOA) paradigm. There are three core areas within the SOA framework: (i) a set of capabilities that are remotely accessible, (ii) communications using messages and (iii) metadata pertaining to the aforementioned capabilities. In this paper, we focus on issues related to the messaging substrate hosting these services; we base these discussions on the NaradaBrokering system. We outline strategies to leverage capabilities available within the substrate without the need to make any changes to the service implementations themselves. We also identify the set of services needed to build Grids of Grids. Finally, we discuss another technology, HPS earch , which facilitates the administration of the substrate and the deployment of applications via a scripting interface. These issues have direct relevance to scientific Grid applications, which need to go beyond remote procedure calls in client-server interactions to support integrated distributed applications that couple databases, high performance computing codes and visualization codes.

Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods

2021 ◽  
Vol 32 (8) ◽  
pp. 2035-2048
Author(s):  
Mochamad Asri ◽  
Dhairya Malhotra ◽  
Jiajun Wang ◽  
George Biros ◽  
Lizy K. John ◽  
...  
Keyword(s):  
High Performance Computing ◽  
High Performance ◽  
Hardware Accelerator ◽  
Performance Computing

SCCS - A Supply Chian Collaboration Service

2011 ◽  
Vol 48-49 ◽  
pp. 1002-1005
Author(s):  
Hui Ping Lin ◽  
Xu Wei Zhu ◽  
Wei Ping Li ◽  
Li Liu ◽  
Zhao Hui Xie
Keyword(s):  
Supply Chain ◽  
Service Oriented Architecture ◽  
Low Cost ◽  
Supply Chain Performance ◽  
Supply Chain Collaboration ◽  
Business Partners ◽  
On Demand ◽  
Flexible Support ◽  
Business Application ◽  
Service Oriented

This paper presents a supply chain collaboration service (SCCS) in SaaS paradigm to support inter-organization interaction between business partners. SaaS is very attractive to enterprises because it offers low cost and flexible on-demand IT solution. The paper presents an extensible service oriented architecture that can integrate business application as a service into SCCS. In order to improve the supply chain performance, it provides flexible support for information sharing between business partners. The SCCS prototype has been developed.

Identifying Services in Procedural Programs for Migrating Legacy System to Service Oriented Architecture

2013 ◽  
pp. 237-255
Author(s):  
Masahide Nakamur ◽  
Hiroshi Igaki ◽  
Takahiro Kimura ◽  
Kenichi Matsumoto
Keyword(s):  
Control System ◽  
Service Oriented Architecture ◽  
Data Flow ◽  
Source Code ◽  
Flow Diagram ◽  
Service Oriented ◽  
Data Flow Diagram ◽  
And Control ◽  
Dependent Processes

In order to support legacy migration to the service-oriented architecture (SOA), this paper presents a pragmatic method that derives candidates of services from procedural programs. In the SOA, every service is supposed to be a process (procedure) with (1) open interface, (2) self-containedness, and (3) coarse granularity for business. Such services are identified from the source code and its data flow diagram (DFD), by analyzing data and control dependencies among processes. Specifically, first the DFD must be obtained with reverse-engineering techniques. For each layer of the DFD, every data flow is classified into three categories. Using the data category and control among procedures, four types of dependency are categorized. Finally, six rules are applied that aggregate mutually dependent processes and extract them as a service. A case study with a liquor shop inventory control system extracts service candidates with various granularities.

Dynamic Reconfiguration of Component-Based Systems

2014 ◽  
pp. 76-102
Author(s):  
Tony Clark ◽  
Balbir S. Barn ◽  
Vinay Kulkarni
Keyword(s):  
Business Processes ◽  
Service Oriented Architecture ◽  
Dynamic Reconfiguration ◽  
System Component ◽  
Ripple Effect ◽  
Dynamic Architecture ◽  
Component Architecture ◽  
Service Oriented ◽  
Typical Component

Component-based approaches generalize basic object-oriented implementations by allowing large collections of objects to be grouped together and externalized in terms of public interfaces. A typical component-based system will include a large number of interacting components. Service-Oriented Architecture (SOA) organizes a system in terms of components that communicate via services. Components publish services that they implement as business processes. Consequently, a change to a single component can have a ripple effect on the service-driven system. Component reconfiguration is motivated by the need to evolve the component architecture and can take a number of forms. The authors define a dynamic architecture as one that supports changing the behavior and topology of existing components without stopping, updating, and redeploying the system. This chapter addresses the problem of dynamic reconfiguration of component-based architectures. It proposes a reification approach that represents key features of a language in data, so that a system can reason and dynamically modify aspects of it. The approach is described in terms of a new language called µLEAP and validated by implementing a simple case study.

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