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Hardware Transactional Memory (HTM) is nowadays available in several commercial and HPC targeted processors and in the future it will likely be available on systems that can accommodate a very large number of threads. Thus, it is essential for the research community to target on evaluating HTM on as many cores as possible in order to understand the virtues and limitations that come with it. In this...
This paper provides a design of scalable and simple remote security exercise system and its performances. Serious understaffing problem in security area. Basic security skills are necessary to all people these days. We have two fundamental problems to solve this problem.
With supercomputer system scaling up, the performance gap between compute and storage system increases dramatically. The traditional speedup only measures the performance of compute system. In this paper, we firstly propose the speedup metric taking into account the I/O constraint. The new metric unifies the computing and I/O performance, and evaluates practical speedup of parallel application under...
Through analyzing the storage system requirements of supercomputer this paper designs a near-line storage system called NLSS based on the combination of HDFS (Hadoop distributed file system) and ZFS (Zettabyte file system). NLSS uses fat storage nodes (large storage servers) to build near-line storage clusters based on HDFS, and uses the ZFS file system to further enhance HDFS. NLSS effectively reduces...
Today's virtualized resource management in datacenters is typically VM-centric, which has serious problems in scalability. We propose a shift from the traditional flat, fine-grained model towards a hierarchical, abstract model that facilitates decomposition of the complex resource allocation problem in a divide-and-conquer approach. In particular, this paper elaborates a pack-centric framework in...
This paper presents the design, implementation and evaluation of ScalNet, novel network architecture for data centers. ScalNet is a cost-effective, high- performance and scalable interconnect with almost flat architecture. ScalNet is also characterized by its low average path length, high bisection bandwidth, high aggregate bottleneck throughput, and especially high scalability while using the same...
In this paper we propose a multi-agent based proactive service replication scheme for service oriented computing in mobile ad hoc environment. The proposed scheme ensures service availability and optimum resource usage in the network without compromising the QoS requirement of the service consumers. To achieve this we formalize the service-replication problem into distributed constraint optimization...
In this paper, we consider a mobile advertising recommendation system using item-based Top-N recommendation algorithm based on Hadoop framework and then propose a solution based on the Hadoop framework to build a distributed recommendation system. We also introduce advertising server into the system. Seller will pay for their advertising when it is clicked by users, so that this platform can make...
With the emerging of IoT (Internet of Things), the scale of Internet is extended extremely and large amounts of information are produced. Most previous work only focuses on the interconnection and interoperability problems among different entities and enterprise application systems in a dynamic interaction environment. However, the problems of how to efficiently disseminate the sensing information...
Real-Time Bidding allows an advertiser to purchase media inventory through an auction system that unfolds in the order of milliseconds. Media providers are increasingly being integrated into such programmatic buying platforms. It is typical for a contemporary Real-Time Bidding system to receive millions of bid requests per second at peak time, and have a large portion of these to be irrelevant to...
Migrating to the cloud is becoming a necessity for the majority of businesses. Cloud tenants require certain levels of performance in aspects like high availability and service rate and deployment options. On the other hand, Cloud providers are in constant pursuit of a system that satisfies client demands for resources, maximizes availability, minimizes power consumption and, in turn, minimizes the...
Many organizations, including businesses, government agencies and research organizations, are collecting vast amounts of data, which are stored, processed and analyzed to mine interesting patterns and knowledge to support efficient and quality decision making. In order to improve data quality and to facilitate further analysis, many application domains require information from multiple sources to...
Visual presentation of the outputs from marine mammal detectors is key for efficient mining of large acoustic datasets. Operators must be able to easily navigate through large time series of detections, examine spectrograms, listen to detected sounds, and validate and compare detections for different species over time and space. The JMesh web platform has been designed with these constraints in mind...
The power of the crowd, more precisely crowdsourced resources, is in its ubiquity. Accounting for traditional desktop/laptop computers and recent mobile computing devices including tablets and smart phones far surpasses the number of servers in cloud data centers. Besides, the capacity and capability of these resources owned by the crowd (crowd-sourced resources) has increased dramatically with GPUs...
The main purpose of this paper is to create a research/development tool enabling the network, system administrators and any developers to bring new innovative easy-scaling services for clients where the infrastructure is composed solely from Software Defined Networking (SDN) components. SDN is a new emerging technology that was being adopted by key players in network technologies all over the world...
We propose distributed media computing method for high performance and massive computing of media processing. By dividing media streams temporally and spatially, and processing them, the method reduces the elapsed time of media processing and improves the system scalability. The experiment results show the method increases the elapsed time. The performance degradation could be mitigated using high-speed...
The Network Science Collaborative Technology Alliance (NS-CTA) conducts multi-genre network science experimentation that attempts to capture the fundamental underlying commonalities across the social, information and communication networks. Due to the complex nature of network science, there exists a broad variance in experimentation requirements in regard to scalability, fidelity and tractability...
In Cloud technologies, monitoring is core element of electronic communication device for optimization. Recently OpenStack open monitoring source code (ceilometer) to the public. Ceilometer project monitors and meters the OpenStack cloud for billing, benchmarking, scalability, and statistical purposes. Analysis of Cloud monitoring, is compared with Network function monitoring.
Entity resolution constitutes a crucial task for many applications, but has an inherently quadratic complexity. Typically, it scales to large volumes of data through blocking: similar entities are clustered into blocks so that it suffices to perform comparisons only within each block. Meta-blocking further increases efficiency by cleaning the overlapping blocks from unnecessary comparisons. However,...
In this paper, we propose and implement a key-value store that supports MPI while allowing application access at any time without having to declaring in the same MPI communication world. This feature may significantly simplify the application design and allow programmers leverage the power of key-value store in an intuitive way. In our preliminary experiment results captured from a supercomputer at...
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