The bookis a collection of best papers presented in internationalconference on Intelligent computing and applications (ICICA 2016) organized by Department of Computer Engineering, D. Y. Patil College of Engineering, ...
ISBN:
(数字)9789811055201
ISBN:
(纸本)9789811055195
The bookis a collection of best papers presented in internationalconference on Intelligent computing and applications (ICICA 2016) organized by Department of Computer Engineering, D. Y. Patil College of Engineering, Pune, India during 20-22 December 2016. The book presents original work, information, techniques and applications in the field of computational intelligence,power and computing technology. This volume also talks about image language processing, computer vision and pattern recognition, machine learning, data mining and computational life sciences, management of data including Big Data and analytics, distributed and mobile systems including grid and cloud infrastructure.
As Cloud computing provides Anything as a Service (XaaS), many applications can be developed and run on the Cloud without concerns of platforms. Data-incentive applications are also easily developed on virtual machine...
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ISBN:
(纸本)9780769548159
As Cloud computing provides Anything as a Service (XaaS), many applications can be developed and run on the Cloud without concerns of platforms. Data-incentive applications are also easily developed on virtual machines provided by the Cloud. In this work, we investigate cost-effective resource provisioning for MapReduce applications with deadline constraints, as the MapReduce programming model is useful and powerful in developing data-incentive applications. When users want to run MapReduce applications, they submit jobs to a Cloud resource broker which allocates appropriate virtual machines with consideration of SLAs (Service-Level Agreements). The goal of resource provisioning in this paper is to minimize the cost of virtual machines for executing MapReduce applications without violating their deadlines to be finished by. We propose two resource provisioning approaches: one based on listed pricing policies and the other based on deadline-aware tasks packing. Throughout simulations, we evaluate and analyze them in various ways.
gridcomputing is an emerging computing paradigm that will have a significant impact on the next generation information infrastructure. Networking systems form the foundation of gridcomputing and must be integrated i...
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ISBN:
(纸本)9780769528618
gridcomputing is an emerging computing paradigm that will have a significant impact on the next generation information infrastructure. Networking systems form the foundation of gridcomputing and must be integrated into the grid. Service-oriented architecture is the basis of gridcomputing;therefore service-oriented network description and discovery are the keys to network-grid integration. High-performance gridcomputing must select appropriate network services that meet the Quality of Service (QoS) requirements of various gridapplications. However current grid service description and discovery approaches are based on functional criteria instead of performance criteria thus are insufficient to support network service discovery. In this paper a new description approach is proposed for describing QoS capabilities of network services. Based on this new description approach, a performance-based service discovery technology is developed for selecting network services that meet the QoS requirements of gridapplications. The network service description and discovery technologies developed in this paper are highly flexible and applicable to various networking systems crossing multiple heterogeneous domains. The network service discovery system proposed in this paper is embedded in the service oriented grid architecture and can be implemented within the current grid service discovery framework.
applications using gridcomputing infrastructure usually require resources allocation to satisfy their Quality of Service (QoS) requirements. Given that the grid infrastructure is a set of computing resources geograph...
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ISBN:
(纸本)9781424434343
applications using gridcomputing infrastructure usually require resources allocation to satisfy their Quality of Service (QoS) requirements. Given that the grid infrastructure is a set of computing resources geographically distributed, the support of gridapplications requires the allocation of computing resources and bandwidth to enable communication among these resources. The objective is to accommodate as many applications as possible while still satisfying their requirements. Ideally, we would like to accommodate a given grid application using a set of computing resources (e.g., one server) that are not geographically distributed (e.g., in the same LAN);however, this is not always possible. Indeed, to increase the probability of accommodating gridapplications, we may need to use computing resources scattered all over the network;in this case, bandwidth allocation is required to enable communication among these resources. In this paper, we propose an optimization model that enables the "simultaneous" allocation of computing resources and bandwidth for grid application while maximizing the number of gridapplications being accommodated. A heuristic is proposed to solve the model with an acceptable response time;simulations show that the proposed approach outperforms existing classical approaches.
Data-intensive gridapplications need access to large datasets that may each be replicated on different resources. Minimizing the overhead of transferring these datasets to the resources where the applications are exe...
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ISBN:
(纸本)9781424403431
Data-intensive gridapplications need access to large datasets that may each be replicated on different resources. Minimizing the overhead of transferring these datasets to the resources where the applications are executed requires that appropriate computational and data resources be selected. In this paper, we introduce a heuristic for the selection of resources based on a solution to the Set Covering Problem (SCP). We then pair this mapping heuristic with the well-known MinMin scheduling algorithm and conduct performance evaluation through extensive simulations.
grids are often used through simplified job submission interfaces that abstract the underlying grid infrastructure as a black box. These interfaces suit well to developers of simple gridapplications requiring the coo...
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ISBN:
(纸本)0769524087
grids are often used through simplified job submission interfaces that abstract the underlying grid infrastructure as a black box. These interfaces suit well to developers of simple gridapplications requiring the coordination of grid jobs, for which monitoring and error handling are done more or less manually. However, developers of advanced gridapplications such as grid portals need more flexible tools to develop efficient and robust applications with advanced capabilities such as monitoring, error handling, failure recovery, resource release, etc. In this paper, we present through a typical application example a XML-based language designed to describe applications orchestrating grid jobs. We also present the execution environment supporting the proposed language and we show how even simple gridapplications can be expressed in this language and benefit of the advanced capabilities of the execution environment.
For protecting grid resources and gridapplications, a behaviors-based trust model is introduced here. The behaviors and trusts dynamically judge the secure levels of grid entities through the their history and actual...
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ISBN:
(纸本)0769522254
For protecting grid resources and gridapplications, a behaviors-based trust model is introduced here. The behaviors and trusts dynamically judge the secure levels of grid entities through the their history and actuality of behaviors. In this paper, the trust relationships among users, resources and applications are discussed, a new trust model based on behavior tracks is proposed by improving the components of reputation in traditional trust mode, and then an simple experimentation is given in our experimental grid using this model.
As a complex interactive hybrid machines of the technological ages, it is difficult to simulate and optimize the electric power system with limited computing power. gridcomputing has emerged as an important new alter...
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ISBN:
(纸本)9810557027
As a complex interactive hybrid machines of the technological ages, it is difficult to simulate and optimize the electric power system with limited computing power. gridcomputing has emerged as an important new alternate to provide an integrated, cooperative problem solving environment. In the paper, the gridcomputing system is used as a platform for high performance computing (HPC) and heterogeneous information integration. Various power system applications are decomposed into a series of less complex interconnected task and seamlessly integrated with the grid system using workflow management system. The infrastructure of the gridcomputing system and the workflow systems used to implement power system applications are presented.
Over the past several years, with the advent of the Open grid Services Architecture (OGSA) [I. Foster, C. Kesselman, J. Nick, S. Tuecke, grid Services for Distributed System Integration, Computer 35 (6) (2002)] and th...
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Over the past several years, with the advent of the Open grid Services Architecture (OGSA) [I. Foster, C. Kesselman, J. Nick, S. Tuecke, grid Services for Distributed System Integration, Computer 35 (6) (2002)] and the Wei) Services Resource Framework (WSRF) [K. Czajkowski, et al., WS-resource framework. http://***/developerworks/library/ws-resource/***, 2004. [25]]. Service-oriented Architectures (SOA) and Web service technologies have been embraced in the field of scientific and gridcomputing. These new principles promise to help make scientific infrastructures simpler to use, more cost effective to implement, and easier to maintain. However, understanding how to leverage these developments to actually design and build a system remains more of an art than a science. In this paper, we present some positions learned through experience, that provide guidance in leveraging SOA technologies to build scientific infrastructures. In addition, we present the technical challenges that need to be addressed in building an SOA, and as a case Study, we present the SOA that we have designed for the National Biomedical Computation Resource (NBCR) [The National Biomedical Computation Resource (NBCR). http://***/] community. We discuss how we have addressed these technical challenges, and present the overall architecture, the individual software toolkits developed, the client interfaces, and the usage scenarios. We hope that our experiences prove to be useful in building similar infrastructures for other scientific applications. (C) 2008 Elsevier B.V. All rights reserved.
The following topics are dealt with: parallel computing; distributed computing; interconnection networks; communication and telecommunication; image processing and computer graphics; access control and authorization; ...
The following topics are dealt with: parallel computing; distributed computing; interconnection networks; communication and telecommunication; image processing and computer graphics; access control and authorization; wireless networks and mobile computing; database applications and data mining; parallelizing compilers; parallel/distributed architectures; intelligent computing and neural networks; Internet computing; network routing and communication algorithms; Web technologies; ubiquitous computing systems; task mapping and job scheduling; security protocols; computer networks; formal methods and programming languages; intrusion detection and survivability; gridcomputing systems; applied cryptography; P2P and ad hoc networks; and reliability and fault-tolerance
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