there have been many R&D projects conducted under PPSKOMP (School of Computer Sciences, Universiti Sains Malaysia) since its establishment in 1995 until today. In PPSKOMP, there are eight major research groups est...
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The emergence of large-scale online collaboration requires current information systems to be apprehended as service ensembles comprising human and software service entities. The software services in such systems canno...
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ISBN:
(纸本)9783642130939
The emergence of large-scale online collaboration requires current information systems to be apprehended as service ensembles comprising human and software service entities. The software services in such systems cannot adapt to user needs based on autonomous principles alone. Instead system requirements need to reflect global interaction characteristics that arise from the overall collaborative effort. Interaction monitoring and analysis, therefore, must become a central aspect of system self-adaptation. We propose to dynamically evaluate and update system requirements based on interaction characteristics. Subsequent re-configuration and replacement of services enables the ensemble to mature in parallel with the evolution of its user community. We evaluate our approach in a case study focusing on adaptive storage services.
Operating systems have been considered as a cornerstone of the modern computer system, and the conventional operating system model targets computers designed around the sequential execution model. However, with the ra...
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We propose a suite of market-oriented task scheduling algorithms to build an AuctionNet for heterogeneous distributed environments. In heterogeneous distributed environments, computing nodes are autonomous and owned b...
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ISBN:
(纸本)9781424465347
We propose a suite of market-oriented task scheduling algorithms to build an AuctionNet for heterogeneous distributed environments. In heterogeneous distributed environments, computing nodes are autonomous and owned by different organizations, for example peer-to-peer systems, desktop grids/clouds. To address such diverse heterogeneity and dynamism in systems, applications, and local policies, efficient and fair task scheduling becomes a challenging issue. To cope with such complexity in a distributed and noncooperative environment, we propose to use market-oriented incentive mechanisms to regulate task scheduling in a distributed manner. Further, to accommodate multiple objectives and criteria, we adopt a combined approach leveraging the advantage of both hypergraph theory and incentive mechanisms. We first formulate a general framework of market-oriented task scheduling in distributedsystems. We then present two algorithms for task-bundle scheduling. Preliminary results demonstrate the satisfactory performance of our proposed algorithms. The remaining work to complete the PhD dissertation is then presented. The proposed research carries significant intellectual merits and potential broader impacts in the following aspects. (1) We propose the notion of task-bundle for the first time in the literature. Product-bundle has been a common marketing strategy in our daily life for a long time. In the emerging commercial louds and desktop clouds, task-bundle could be a useful concept for computing and storage markets. (2) We propose efficient distributed mechanisms that are very suitable for such distributedsystems. A novel algorithm combining hypergraph and incentive mechanisms achieves multi-objective optimization. (3) We conduct rigorous analytical study and prove that our algorithms ensure efficiency and fairness and in the meantime maximize social welfare. (4) Overall, this proposal lays a solid foundation and sheds light on future research and realworld application
The Chinese wall security model (CWSM) was designed to provide access controls that mitigate conflict of interest in commercial organizations, and is especially important for large-scale interenterprise workflow appli...
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The large scale and dynamic nature of a distributed system makes it difficult to collect the attributes of the individual nodes in the network. In these systems, often an aggregate (e.g. AVG, COUNT, MIN, MAX, SUM etc)...
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For a web application, we rebuild the use cases from the log file by applying Natural Language Processing technique;then based on these use cases we construct component model and extract the component behavior;finally...
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The performance analysis of distributedsoftwaresystems is a challenging task in which the assessment of performance measures is a vital step. Due to its versatility, the concept of software performance engineering (...
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ISBN:
(纸本)9781565553415
The performance analysis of distributedsoftwaresystems is a challenging task in which the assessment of performance measures is a vital step. Due to its versatility, the concept of software performance engineering (SPE) has been advocated as a promising solution towards realizing that step. This paper illustrates how by using our recently proposed Model-Driven SPE (MDSPE) approach, one can design annotated UML performance models for the performance analysis of distributedsoftwaresystems, based on the UML profile for Schedulability, Performance and Time. A case study of a business system is used to validate the stated goal.
Presently, there are many categories of devices operating at Pulse Forming Networks (PFNs) for high Pulse Repetition Frequency (PRF) modulation. This paper aims to discuss a fast high voltage semiconductor switch usin...
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The proceedings contain 106 papers. The topics discussed include: Horizon: efficient deadline-driven disk I/O management for distributed storage systems;run-time optimizations for replicated dataflows on heterogeneous...
ISBN:
(纸本)9781605589428
The proceedings contain 106 papers. The topics discussed include: Horizon: efficient deadline-driven disk I/O management for distributed storage systems;run-time optimizations for replicated dataflows on heterogeneous environments;DataSpaces: an interaction and coordination framework for coupled simulation workflows;ParaTrac: a fine-grained profiler for data-intensive workflows;performance analysis of dynamic workflow scheduling in multicluster grids;software architecture definition for on-demand cloud provisioning;high occupancy resource allocation for grid and cloud systems, a study with DRIVE;MOON: MapReduce on opportunistic environments;MRAP: a novel MapReduce-based framework to support HPC analytics applications with access patterns;data centric highly parallel debugging;thermal aware server provisioning and workload distribution for internet data centers;and I/O scheduling model of virtual machine based on multi-core dynamic partitioning.
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