Service Level Agreements (SLAs) play an important role in guaranteeing successful collaborations among autonomous entities in Internet-based Virtual computing Environment (iVCE). However, traditional static and predef...
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Replicated distributed file systems are designed to store large file reliably across lots of machines, and it arouse the problem of selecting the nearest replica for clients. In this paper, we propose Rigel, a Network...
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Driven by the market demand for high-definition 3D graphics, commodity graphics processing units (GPUs) have evolved into highly parallel, multi-threaded, many-core processors, which are ideal for data parallel comput...
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SciCloud is a project studying the scope of establishing private clouds at universities. With these clouds, researchers can efficiently use the already existing resources in solving computationally intensive scientifi...
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Collision detection plays an important role in the robot motion planning, virtual environment, distributed interactive simulation. As the geometric complexity of the virtual environment and parallelcomputing capabili...
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The proceedings contain 125 papers. The topics discussed include: schedule swapping: a technique for temperature management of distributed embedded systems;user-level network protocol stacks for automotive infotainmen...
ISBN:
(纸本)9780769543222
The proceedings contain 125 papers. The topics discussed include: schedule swapping: a technique for temperature management of distributed embedded systems;user-level network protocol stacks for automotive infotainment systems;replay debugging for multi-threaded embedded software;optimizing runtime reconfiguration decisions;architectural support for reducing parallel processing overhead in an embedded multiprocessor;trading conditional execution for more registers on ARM processors;co-simulation of self-adaptive automotive embedded systems;empirical evaluation of content-based pub/sub systems over cloud infrastructure;a reflective service gateway for integrating evolvable sensor-actuator networks with pervasive infrastructure;handling mobility on a QoS-aware service-based framework for mobile systems;trust measurement methods in organic computing systems by direct observation;and rule-based approach for context inconsistency management scheme in ubiquitous computing.
Over the Internet today, computing and communications environments are more complex and chaotic than classical distributed systems, lacking any centralized organization or hierarchical control. Peer-to-Peer network ov...
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Massive information networks, such as the knowledge graph by Google, contain billions of labeled entities. Star queries, which aim to identify an entity, given a set of related entities, are common on such networks. A...
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ISBN:
(纸本)9781479976157
Massive information networks, such as the knowledge graph by Google, contain billions of labeled entities. Star queries, which aim to identify an entity, given a set of related entities, are common on such networks. Answering star queries can be modeled as a graph pattern matching problem. Traditional approaches apply graph indices to accelerate the query processing. Unfortunately, it is so costly that it is nearly infeasible to build indices on billion node graphs since the time or storage complexity of most indexing techniques is super-linear to the graph size. In this paper, we propose an algorithm to identify the top-k best answers for a star query. Instead of using expensive indices, our algorithm utilizes novel bounding techniques to derive the top-k best answers efficiently. Further, the algorithm can be implemented in a distributed manner scaling to billions of entities and hundreds of machines. We demonstrate the effectiveness and the efficiency of our approach through a series of experiments on real-world information networks.
The key role of networks has been brought into focus as a result of the worldwide-distributedcomputing model adopted by the four LHC experiments, as a necessary response to the unprecedented data volumes and computat...
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The key role of networks has been brought into focus as a result of the worldwide-distributedcomputing model adopted by the four LHC experiments, as a necessary response to the unprecedented data volumes and computational needs of the LHC physics program. As we approach LHC startup and the era of LHC physics, the focus has increased as the experiments develop the tools and methods needed to distribute, process, access and cooperatively analyze datasets with aggregate volumes of Petabytes of simulated data even now, rising to many Petabytes of real and simulated data during the first years of LHC operation.
The lack of license management schemes in distributed environments is becoming a major obstacle for the commercial adoption of Grid or Cloud infrastructures. In this paper, we present a complete license management arc...
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