Showing papers in "Future Generation Computer Systems in 2008"

TL;DR: The Grid Workloads Archive (GWA) is presented, which is at the same time a workload data exchange and a meeting point for the grid community, and a format for sharing grid workload information, and tools associated with this format are introduced.

TL;DR: This paper describes two new metrics to evaluate the reliability of the system, and proposes an on-line optimizer algorithm that can Minimize the Data Missing Rate (MinDmr) in order to maximize the data availability.

TL;DR: Two different concepts of coordinated checkpointing have been proposed: blocking and non-blocking and their respective scalabilities remain unknown and the first comparison between these two approaches is provided and a study of their scalabilities are studied.

TL;DR: This paper presents a running time prediction method for grid tasks based on the previous work, which is a novel CPU load prediction method, and produces a simulation to test and evaluate the prediction method.

TL;DR: HLA_Grid_RePast is presented, a middleware platform for executing large scale collaborating RePast agent-based models on the Grid, and performance results from a deployment of the system between UK and Singapore are provided.

TL;DR: This paper proposes an approach to Grid scheduling which abstracts over the details of individual applications, focusing instead on the global cost optimisation problem while taking into account the entire workload, dynamically adjusting to the varying service demands.

TL;DR: The paper describes those features and techniques that are provided and used by the P-GRADE portal to solve the Grid interoperability problem.

TL;DR: A novel algorithm is presented which allows the mapping of workflow processes to Grid provided services assuring at the same time end-to-end provision of QoS based on user-defined parameters and preferences.

TL;DR: A usage control model is presented to protect services and devices in ubiquitous computing environments, which allows the access restrictions directly on services and object documents and provides a mechanism to build rich reuse relationships between models and objects.

TL;DR: A Service-Oriented Architecture allowing the optimization of the execution of service workflows is described, based on the development of a generic Web-Services wrapper, that enables dynamic service grouping for optimizing the application execution time.

TL;DR: It is shown that the proposed approach provides high data availability, low bandwidth consumption, increased fault-tolerance and improved scalability of the overall system as compared to standard replica control protocols.

TL;DR: A novel semantic-supported and agent-based decentralized grid resource discovery mechanism that allows individual resource agents to semantically interact with neighbour agents based on local knowledge and to dynamically form a resource service chain to complete a task.

TL;DR: A new load balancing algorithm namely IQRD (Intelligent Queue-based Request Dispatcher) for web-switches of the cluster web servers which operates at layer-7 is proposed and achieves better response time and throughput compared to other load balancing algorithms.

TL;DR: UPGRADE-CDN is presented, an experimental component-based platform which jointly uses P2P, GRID, and Agent based mechanisms for client request redirection, CDN monitoring, and content delivery.

TL;DR: A Grid service developed over the Globus Toolkit 4, which provides multi-user resource brokering on computational Grids, and the development of a graphical client-side application that provides an ubiquitous access to the metascheduler service.

TL;DR: A distributed Peer-to-Peer (P2P) based framework that enables health operators of different hospitals to share and aggregate clinical information about patients and therapy effects is proposed.

TL;DR: A middleware for pervasive grid applications consists of a set of basic services that aim to enhance classic grid environments with mechanisms for integrating mobile devices in a pervasive way and providing context-awareness.

TL;DR: The distributed, efficient clustering approach (DECA) provides robust clustering to form subgroups, and analytical and simulation results demonstrate that DECA is energy-efficient and resilient against node mobility.

TL;DR: A semantic overlay algorithm by which semantically similar peers are locally clustered together, and long-range connections are rewired for a short-cut in peer-to-peer networks is presented.

TL;DR: An Active Grid Information Server that is a resource manager for optimal resource selection and fault tolerant service using a database management system that supports event-condition-action (ECA) rules and preliminary performance results indicate that the ECA rule-based approach for resource matching is efficient in speed and accuracy and can keep up with high job-arrival rates - an important criterion for online resource matching systems.

TL;DR: Though all the methods employ parallelism to speed up query execution, different advantages for different objectives have been identified by experiments and reported results would be helpful for choosing the best implementations for specific applications.

TL;DR: Migol is a fault-tolerant and self-healing grid middleware for MPI applications based on open standards and extends the services of the Globus toolkit to support the fault tolerance of grid applications.

TL;DR: This paper presents a Reinforcement Learning algorithm that can tune parameters of a seller's dynamic pricing policy in a gradient direction (thus converging to the optimal parameter values that maximize the revenue obtained by the seller) even when the seller's environment is not fully observable.

TL;DR: A scheme for advancing and managing Quality of Service (QoS) attributes contained in Service Level Agreement (SLA) contracts of Grids that follow the Open Grid Services Architecture (OGSA).

TL;DR: Simulation shows that while some users that are local to popular resources can experience higher cost and/or longer delays, the overall users' QoS demands across the federation are better met, and the federation's average case message-passing complexity is seen to be scalable.

TL;DR: Experimental results show that the proposed download scheme outperforms static and dynamic parallel download schemes and considering the server output throughput limits and client input bandwidth constraints.

TL;DR: This paper shows how a load balanced Monte Carlo method for computing the inverse of a dense matrix can be constructed, shows how the method can be implemented on the Grid, and demonstrates how efficiently the method scales on multiple processors.

TL;DR: A multi-agent approach to spatially sort and discovery information about the resources offered by a Grid using an ant-inspired pheromone mechanism and an ''epidemic'' mechanism to communicate the value of this parameter to the hosts and agents of the Grid.

TL;DR: A query optimization technique, Grid Query Optimizer (GQO), that improves overall response time for grid-based query processing is presented and provides better-than-average performance and is especially suitable for queries with large search spaces.

TL;DR: This paper provides a novel approach based on macroeconomics, which concerns large aggregate behavior instead of individual actions in the Grid, that is well suited for a service-oriented Grid.