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Showing papers in "Future Generation Computer Systems in 2010"


Journal ArticleDOI
TL;DR: The paper reveals the complexity of the scheduling problem in Computational Grids when compared to scheduling in classical parallel and distributed systems and shows the usefulness of heuristic and meta-heuristic approaches for the design of efficient Grid schedulers.

364 citations


Journal ArticleDOI
TL;DR: A matrix based k-means clustering strategy for data placement in scientific cloud workflows that dynamically clusters newly generated datasets to the most appropriate data centres-based on dependencies-during the runtime stage is proposed.

325 citations


Journal ArticleDOI
TL;DR: This article proposes the application of the Resources Via Web Services framework (RVWS) to offer higher level abstraction of clouds in the form of a new technology that makes possible the provision of service publication, discovery and selection based on dynamic attributes which express the current state and characteristics of cloud services and resources.

261 citations


Journal ArticleDOI
TL;DR: An artificial immune algorithm (AIA) based on integrated approach is proposed to solve the flexible job-shop scheduling problem (FJSP) to minimize makespan and the computational results validate the quality of the proposed approach.

241 citations


Journal ArticleDOI
TL;DR: Claudia, a service management system that implements a new abstraction layer closer to the lifecycle of services that allows for their automatic deployment and escalation depending on the service status, and the results of the deployment of a grid service on such system.

234 citations


Journal ArticleDOI
TL;DR: A novel approach based on Particle Swarm Optimization (PSO) for scheduling jobs on computational grids by extending the representations of the position and velocity of the particles in conventional PSO is extended from the real vectors to fuzzy matrices.

210 citations


Journal ArticleDOI
TL;DR: Three novel heuristics for scheduling parallel applications on Utility Grids that manage and optimize the trade-off between time and cost constraints are presented.

157 citations


Journal ArticleDOI
TL;DR: Performance results observed in the actual implementation of an enterprise Cloud show that the autonomic pricing mechanism is able to achieve higher revenue than various other common fixed and variable pricing mechanisms.

130 citations


Journal ArticleDOI
TL;DR: This paper introduces a continuous double auction method (CDA) for grid resource allocation in which resources are considered as provider agents and users as consumer agents and results illustrate that the proposed method is efficient in terms of successful execution rates, resource utilization rates and fair profit allocation.

110 citations



Journal ArticleDOI
TL;DR: This paper has devised a novel rescheduling technique, called rescheduled using clouds for reliable completion (RC^2), and applied it to three well-known existing heuristics, revealing that RC^2 significantly reduces delay in job completion.

Journal ArticleDOI
TL;DR: It is argued that the workflow execution environment, the model of computation (MoC), and the workflow language form three dimensions that must be considered depending on the type of interoperability sought: at the activity, sub-workflow, or workflow levels.

Journal ArticleDOI
TL;DR: Simulation results demonstrate the feasibility of BRS, as they show that the new replication algorithm increases data access performance, compared with popular replication schemes such as hierarchical and server-directed replication, which are commonly used in current data grids.

Journal ArticleDOI
TL;DR: The schema theory for SLN including the concepts, rule-constraint normal forms and relevant algorithms are proposed, which provides the basis for normalized management of SLN and its applications.

Journal ArticleDOI
TL;DR: A novel IR-Style mechanism for discovering and ranking web services automatically, given a textual description of desired services is proposed, and various algorithms are given for computing the relevance and importance of services, respectively.

Journal ArticleDOI
TL;DR: This special issue of Future Generation Computer System journal compiles a number of excellent technical contributions that significantly advance the state-of-the-art in federated management of Grid and Cloud computing environments.

Journal ArticleDOI
TL;DR: It is concluded that delegating part of the scheduling responsibilities to the underlying scheduling layers promotes separation of concerns and is a good way to balance the performance among the different grid systems.

Journal ArticleDOI
Liu Wenyin1, Ning Fang1, Xiaojun Quan1, Bite Qiu1, Gang Liu1 
TL;DR: An approach to the discovery of the phishing target of a suspicious webpage is proposed, which is based on construction and reasoning of the Semantic Link Network (SLN) of the suspicious webpage.

Journal ArticleDOI
TL;DR: This paper describes a framework for implementing distributed ontology-based knowledge management systems (DOKMS), and presents an implementation of the designed framework in the K-link+ system and shows the suitability of this approach through a use case.

Journal ArticleDOI
TL;DR: This work proposes an approach called CRET: Context Reasoning using extended Evidence Theory, which applies the evidence theory to context reasoning in pervasive computing environments and shows that CRET is desirable for pervasive applications.

Journal ArticleDOI
TL;DR: A P2P-based hybrid collaborative filtering mechanism for the support of combining user-based and item attribute-based ratings is considered and a Hybrid collaborative filtering (HCF) algorithm is presented to improve the predictive accuracy.

Journal ArticleDOI
TL;DR: The experimental results show the number of visited nodes and performed operations, as a result of query forwarding, are smaller than in comparable approaches and the cost of update in the proposed algorithm is also lower, therefore, the algorithm can effectively improve the system efficiency for resource discovery.

Journal ArticleDOI
TL;DR: This paper describes how the problem of job management has been addressed in the gLite middleware by means of the CREAM and CEMonitor services.

Journal ArticleDOI
TL;DR: A novel approach for decentralized and cooperative workflow scheduling in a dynamic and distributed Grid resource sharing environment that derives from a Distributed Hash Table based d-dimensional logical index space with regard to resource discovery, coordination and overall system decentralization is proposed.

Journal ArticleDOI
TL;DR: A formal model, an architecture and a prototype implementation for usage control on GRID systems, which uses as policy specification language a process description language and shows how this is suitable to model the usage policy models of the original UCON model.

Journal ArticleDOI
TL;DR: The Grid Meta- Brokering Service is introduced, which enables higher level resource management by utilizing existing Grid brokers, and is a new interoperable grid middleware service for interconnecting Grid islands to compose a World Wide Grid, where users and portals can transparently utilize a growing number of Grids in the future.

Journal ArticleDOI
TL;DR: The cost model for publish/subscribe system in a real-time domain is presented, its performance is analyzed, and it is compared with other communication models such as request/reply and polling models to verify correctness and usefulness of the model.

Journal ArticleDOI
TL;DR: Simulation results show that Poisonedwater can significantly reduce the ranking error ratio up to 20%, when the P2P environment is relatively hostile (i.e., there exists a relatively high percentage of malicious peers and front peers).

Journal ArticleDOI
TL;DR: The proposed CPN-based modelling pattern formally describes the process of task distribution and execution within the grid environment and a method for evaluation the grid service reliability based on the analysis of the model is proposed.

Journal ArticleDOI
TL;DR: A novel model for application behavior prediction is proposed, considering chaotic properties of such behavior and the automatic detection of critical execution points, and proves to be efficient for online predictions due to its low computational cost and good precision.