Showing papers in "Future Generation Computer Systems in 2011"

TL;DR: This document contains the specification of the Open Provenance Model (v1.1) resulting from a community effort to achieve inter-operability in the Provenances Challenge series.

TL;DR: This paper proposes an LP formulation and heuristics to control VM migration, which prioritize virtual machines with steady capacity, and observes that avoiding migration of VMs with steadycapacity reduces the number of migrations with minimal penalty in thenumber of physical servers.

TL;DR: This paper proposes a methodology and presents a working prototype system for automatic detection and resolution of bottlenecks in a multi-tier Web application hosted on a cloud in order to satisfy specific maximum response time requirements.

TL;DR: This paper suggests an architecture for the automatic execution of large-scale workflow-based applications on dynamically and elastically provisioned computing resources using the core algorithm named PBTS (Partitioned Balanced Time Scheduling), which estimates the minimum number of computing hosts required to execute a workflow within a user-specified finish time.

TL;DR: A hybrid High Performance Computing (HPC) infrastructure architecture that provides predictable execution of scientific applications, and scales from a single resource to multiple resources, with different ownership, policy, and geographic locations is introduced.

TL;DR: The experiments show that the RD reputation improves the reliability of an application with more accurate reputations, while the LAGA provides better solutions than existing list heuristics and evolves to better solutions more quickly than a traditional GA.

TL;DR: A novel multi-agent reinforcement learning method, called ordinal sharing learning (OSL) method, is proposed for job scheduling problems, especially, for realizing load balancing in Grids.

TL;DR: A hierarchical framework and a job scheduling algorithm called Hierarchical Load Balanced Algorithm (HLBA) for Grid environment is proposed and Experimental results show that the performance of HLBA is better than those of other algorithms.

TL;DR: A Modified B HR algorithm is proposed to overcome the limitations of the standard BHR algorithm and is simulated using a data grid simulator, OptorSim, developed by European Data Grid projects.

TL;DR: An enhancement of Wang et al.'s scheme is proposed and the criteria of authentication scheme which secures a user against the risk of attack over an insecure Internet environment is provided, for instance, session key agreement, mutual authentication and perfect forward secrecy.

TL;DR: This paper presents a novel reputation computation model to discover and prevent selfish behaviors by combining familiarity values with subjective opinions, which outperforms the pure subjective logic-based model and achieves up to a 25% improvement in the convergence time.

TL;DR: This paper compares PHFS and CFS with an example from the perspective of access latency and shows that PHFS causes lower latency and better performance in comparison with CFS.

TL;DR: This paper addresses the problems in scheduling a precedence constrained tasks of parallel application with random tasks processing time and edges communication time on Grid computing systems so as to minimize the makespan in stochastic environment and develops a stochastically heterogeneous earliest finish time (SHEFT) scheduling algorithm.

TL;DR: This work proposes a multi-dimensional evidence-based trust management system with multi-trusted paths (MeTrust for short) to conduct trust computation on any arbitrarily complex trusted graph and focuses on the personalization of trust in order to catch this subjective nature of trust.

TL;DR: The experimental study showed that the HGS implementation outperforms existing GA-based schedulers proposed in the literature and is evaluated under the heterogeneity, the large scale and dynamics conditions using a grid simulator.

TL;DR: The Service Framework addresses the need to improve the availability of geospatial data resources by providing mechanisms to assist users in wrapping resources to generate INSPIRE-based services.

TL;DR: The internal architecture of P-GRADE Portal is presented as well as the implementation details of grid support methods, to give support for those communities who would like to further develop the portal or create a similar one for other workflow systems.

TL;DR: This paper argues that given the nature of both binary and property based attestation mechanisms, an attestation requester cannot be absolutely certain if an attesting platform will behave as it is expected to behave and proposes TESM, a hybrid trust model based on subjective logic to reduce such uncertainties.

TL;DR: This work surveys the economic models used in grid computing since its inception until 2010 and discusses their advantages and disadvantages and analyzes their suitability for usage in a dynamic grid environment.

TL;DR: An automated virtual appliance creation service is proposed that aids the service developers to create efficiently deployable virtual appliances - in former systems this task was carried out manually by the developer.

TL;DR: OMAS (Open Multi-Agent System) is a multi-agent platform derived from a number of previous research projects and teaching courses that tried to answer the problems of architecture, skill definition, protocol implementation, ontologies, dialog using natural language, and debugging, so as to simplify the work of an application designer.

TL;DR: R^2Trust is presented-a robust Reputation and Risk evaluation based Trust management model that uses both reputation and risk to evaluate the trustworthiness of a peer and it is applicable for unstructured P2P networks.

TL;DR: The aim of this paper is to provide the ability to build arbitrary complex grid infrastructures able to sustain the demand required by any given service, taking advantage of the pay-per-use model and the seemingly unlimited capacity of the cloud computing paradigm.

TL;DR: This work explores how the existing data-oriented functionality can be extended for enterprise use to support business processes, and a design of a process-oriented enterprise mashup system is presented.

TL;DR: The proposed architecture provides a scalable and powerful backend to support the demand of large-scale data processing for a program recommendation system.

TL;DR: Experimental and simulation results have demonstrated that the proposed system is secure, robust, and deters the risks of attacks for secure biometric image transmission.

TL;DR: The preparedness and the shortcomings of the SOA paradigm in addressing the needs of e-Science and the extent to which this can be done are analyzed and the experience in adopting the proposed approach within a collaborative environment for bioinformatics is presented.

TL;DR: This paper provides a thorough analysis of the distinct ( l,@a)-diversity and proves that the optimal distinct (l,@ a)-d diversity problem with its two variants entropy (l.,@a-diversity) and recursive (c,l, @a-Diversity) are NP-hard, and proposes a top-down anonymization approach to solve the distinct(l, (@a), with its variants.

TL;DR: This paper presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta- scheduling in advance, and thanks to this, QoS requirements of jobs are met.

TL;DR: The enviroGRIDS project, funded by the European Commission ''Seventh Framework Programme'' (EU/FP7), will target issues of limited analytical capabilities and the availability of large storage and computing facilities offered by Grid infrastructures.