Graphs that are used to model real-world entities with vertices and relationships among entities with edges,have proven to be a powerful tool for describing real-world problems in *** most real-world scenarios,entitie...
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Graphs that are used to model real-world entities with vertices and relationships among entities with edges,have proven to be a powerful tool for describing real-world problems in *** most real-world scenarios,entities and their relationships are subject to constant *** that record such changes are called dynamic *** recent years,the widespread application scenarios of dynamic graphs have stimulated extensive research on dynamic graph processing systems that continuously ingest graph updates and produce up-to-date graph analytics *** the scale of dynamic graphs becomes larger,higher performance requirements are demanded to dynamic graph processing *** the massive parallel processing power and high memory bandwidth,GPUs become mainstream vehicles to accelerate dynamic graph processing ***-based dynamic graph processing systems mainly address two challenges:maintaining the graph data when updates occur(i.e.,graph updating)and producing analytics results in time(i.e.,graph computing).In this paper,we survey GPU-based dynamic graph processing systems and review their methods on addressing both graph updating and graph *** comprehensively discuss existing dynamic graph processing systems on GPUs,we first introduce the terminologies of dynamic graph processing and then develop a taxonomy to describe the methods employed for graph updating and graph *** addition,we discuss the challenges and future research directions of dynamic graph processing on GPUs.
Any mistaken maintenance for the complicated and distributed grid can bring unpredictable disaster. Here we focus on the system availability issues caused by service dependencies during the maintenance in grid. A nove...
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P2P technology has been widely adopted in live streaming system for its scalability and low commercial cost. However, tree based system or mesh based system still has to face the constraint or tradeoff caused by its s...
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Nowadays, more and more large scale knowledge bases are available for public access. Although these knowledge bases have their inherent access interfaces, such as SPARQL, they are generally unfriendly to end users. An...
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Currently there is no practical standard for grid middleware, most of the grid platforms are built by their own, and it's not easy to interoperate these grid platforms. Information service is one of the key compon...
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Nowadays emerging Non-Volatile Memory (NVM) technologies are introduced to remedy the shortages of the current DRAM-based memory system. However, NVM has limited write endurance, which would severely restrict the perf...
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Bibliographical information of scientific papers is of great value since the Science Citation Index is introduced to measure research impact. Most scientific documents available on the web are unstructured or semi-str...
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Recently, mobile cloud which utilizes the elastic resources of clouds to provide services for mobile applications, is becoming more and more popular. When building a mobile cloud platform (MCP), one of the most import...
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The emerging service grids bring together various distributed application-level services to a 'market' for clients to request and enable the integration of services across distributed, heterogeneous, dynamic v...
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grid workflow is a complex and typical grid application, but owing to the highly dynamic feature of grid environments, resource unavailability is increasingly becoming severe and poses great challenges to grid workflo...
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ISBN:
(纸本)9781595937575
grid workflow is a complex and typical grid application, but owing to the highly dynamic feature of grid environments, resource unavailability is increasingly becoming severe and poses great challenges to grid workflow scheduling. Though fault recovery mechanism adopted in grid system guarantee the completion of jobs to some extent, but wasting system resources. To overcome the shortcoming, this paper proposes a Markov Chain based grid node availability prediction model which can efficiently predict grid nodes' availability in the future without adding significant overhead. Based on this model, the paper presents a grid workflow scheduling based on reliability cost (RCGS). The performance evaluation results demonstrate that RCGS improves the dependability of workflow execution and success ratio of tasks with low reliability cost.
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