459,249 research outputs found
Virtual conference management system
[[abstract]]With the improvement of network technologies and hardware supports, we can find that networks have become an important part in our daily life. In traditional, scholars can get new knowledge and exchange their ideas with others by joining a conference. However this is time and cost consuming. It is feasible to use electronic conferencing technologies to organize future international conferences. Consequently, we developed a virtual conference environment system to help the people who want to hold a conference or want to join a conference. This paper focuses on the virtual conference management system. We developed a complete suite of integrated tools to support your planning, design, and implementation efforts during the deployment of new network conference scheduling of an existing network infrastructure[[notice]]補正完畢[[conferencetype]]國際[[conferencedate]]20010131~20010131[[conferencelocation]]Beppu City, Japa
The design and implementation of a virtual conference system
[[abstract]]With the enormous use of networks, many real-world activities are realized on the Internet. We propose a complete virtual conference system (VCS) to handle all activities of real-world conferences. The VCS includes a virtual conference management system and a mobile virtual conference system. Video conferencing is a trend of future communications. With the improvement of broadband network technologies, video conferencing becomes possible in the global society. It is feasible to use video conferencing technologies to organize future international conferences. This research proposes a total solution toward virtual conferencing. We use a mobile server/storage pre-broadcasting technique, as well as a communication network optimization algorithm, which is based on a graph computation mechanism. With the assistance of a conference management system, the system is able to support virtual conferencing in the future academic society[[conferencetype]]國際[[conferencedate]]20001025~20001027[[conferencelocation]]Taipei, Taiwa
Massive Science with VO and Grids
There is a growing need for massive computational resources for the analysis
of new astronomical datasets. To tackle this problem, we present here our first
steps towards marrying two new and emerging technologies; the Virtual
Observatory (e.g, AstroGrid) and the computational grid (e.g. TeraGrid, COSMOS
etc.). We discuss the construction of VOTechBroker, which is a modular software
tool designed to abstract the tasks of submission and management of a large
number of computational jobs to a distributed computer system. The broker will
also interact with the AstroGrid workflow and MySpace environments. We discuss
our planned usages of the VOTechBroker in computing a huge number of n-point
correlation functions from the SDSS data and massive model-fitting of millions
of CMBfast models to WMAP data. We also discuss other applications including
the determination of the XMM Cluster Survey selection function and the
construction of new WMAP maps.Comment: Invited talk at ADASSXV conference published as ASP Conference
Series, Vol. XXX, 2005 C. Gabriel, C. Arviset, D. Ponz and E. Solano, eds. 9
page
Cloudbus Toolkit for Market-Oriented Cloud Computing
This keynote paper: (1) presents the 21st century vision of computing and
identifies various IT paradigms promising to deliver computing as a utility;
(2) defines the architecture for creating market-oriented Clouds and computing
atmosphere by leveraging technologies such as virtual machines; (3) provides
thoughts on market-based resource management strategies that encompass both
customer-driven service management and computational risk management to sustain
SLA-oriented resource allocation; (4) presents the work carried out as part of
our new Cloud Computing initiative, called Cloudbus: (i) Aneka, a Platform as a
Service software system containing SDK (Software Development Kit) for
construction of Cloud applications and deployment on private or public Clouds,
in addition to supporting market-oriented resource management; (ii)
internetworking of Clouds for dynamic creation of federated computing
environments for scaling of elastic applications; (iii) creation of 3rd party
Cloud brokering services for building content delivery networks and e-Science
applications and their deployment on capabilities of IaaS providers such as
Amazon along with Grid mashups; (iv) CloudSim supporting modelling and
simulation of Clouds for performance studies; (v) Energy Efficient Resource
Allocation Mechanisms and Techniques for creation and management of Green
Clouds; and (vi) pathways for future research.Comment: 21 pages, 6 figures, 2 tables, Conference pape
A review of management tools for OpenSimulator
"Conference on Videogame Sciences and Arts", realizada no Porto de 21-22 de novembro de 2018To host OpenSimulator virtual world servers at educational institutions, system administrators find at their disposal a diversity of web-based management systems with different sets of features. To support the selection among current management tools and provide a baseline from which to identify subsequent development needs, we installed and evaluated 4 of these systems (WiFi pages, OSMW, MWI and jOpenSim), analysing and comparing their features. WiFi pages only provides account-management features. MWI has mostly the same features, but also provides systems administrators with the option of creating their own management website. OSMW has account-management and maintenance features, such as log management and editing of configuration files. jOpenSim provides features for account and event management and feature for generating some actions within virtual world, such as broadcasting a message to all regions. From matching the identified features with the literature-reported requirements for virtual world deployment at educational organizations, we conclude that there is no management tool that fulfils all the functional requirements reported in the literature and, therefore, that the adoption of current tools by system administrators will always requires manually performing some of the administrative tasks. We therefore call for development of novel, more encompassing administrative tools for OpenSimulator virtual worlds.This research has been partially financed by the European Commission [BEACONING H2020ICT-2015-687676]info:eu-repo/semantics/publishedVersio
Master of Ibero American virtual environment education
Metaverse is an immersive, three-dimensional, virtual and online multi-user environment that allows people to communicate with each other socially and economically, regardless of location, using computing tools as personalized agents and simulations. In order to build the system, we define the guide as a free distributed application integration product, Spanish, IP voice system in metaverse, and integrated LMS (learning management system). The main tools to support this work are: 3D metaverse second life simulator, Moodle LMS, object-oriented dynamic link interface simulation, sloodle. Although the best example of metacosmic second life is an integrated world that can be accessed online. Academic experience is a master’s degree in Ibero American virtual environment management education from the University of Granada. It ended in the first quarter of 2010. It was developed in the temporary place of second life and carried out some tests and data collection. The Ibero American network ecaeva (digital visual communication strategy driven by virtual flow in the Latin American Caribbean European Union academic free trade area) promotes video conference experiments and meta poetry teaching. Epistemological strategies are case studies
A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning
Automatic decision-making approaches, such as reinforcement learning (RL),
have been applied to (partially) solve the resource allocation problem
adaptively in the cloud computing system. However, a complete cloud resource
allocation framework exhibits high dimensions in state and action spaces, which
prohibit the usefulness of traditional RL techniques. In addition, high power
consumption has become one of the critical concerns in design and control of
cloud computing systems, which degrades system reliability and increases
cooling cost. An effective dynamic power management (DPM) policy should
minimize power consumption while maintaining performance degradation within an
acceptable level. Thus, a joint virtual machine (VM) resource allocation and
power management framework is critical to the overall cloud computing system.
Moreover, novel solution framework is necessary to address the even higher
dimensions in state and action spaces. In this paper, we propose a novel
hierarchical framework for solving the overall resource allocation and power
management problem in cloud computing systems. The proposed hierarchical
framework comprises a global tier for VM resource allocation to the servers and
a local tier for distributed power management of local servers. The emerging
deep reinforcement learning (DRL) technique, which can deal with complicated
control problems with large state space, is adopted to solve the global tier
problem. Furthermore, an autoencoder and a novel weight sharing structure are
adopted to handle the high-dimensional state space and accelerate the
convergence speed. On the other hand, the local tier of distributed server
power managements comprises an LSTM based workload predictor and a model-free
RL based power manager, operating in a distributed manner.Comment: accepted by 37th IEEE International Conference on Distributed
Computing (ICDCS 2017
C2MS: Dynamic Monitoring and Management of Cloud Infrastructures
Server clustering is a common design principle employed by many organisations
who require high availability, scalability and easier management of their
infrastructure. Servers are typically clustered according to the service they
provide whether it be the application(s) installed, the role of the server or
server accessibility for example. In order to optimize performance, manage load
and maintain availability, servers may migrate from one cluster group to
another making it difficult for server monitoring tools to continuously monitor
these dynamically changing groups. Server monitoring tools are usually
statically configured and with any change of group membership requires manual
reconfiguration; an unreasonable task to undertake on large-scale cloud
infrastructures.
In this paper we present the Cloudlet Control and Management System (C2MS); a
system for monitoring and controlling dynamic groups of physical or virtual
servers within cloud infrastructures. The C2MS extends Ganglia - an open source
scalable system performance monitoring tool - by allowing system administrators
to define, monitor and modify server groups without the need for server
reconfiguration. In turn administrators can easily monitor group and individual
server metrics on large-scale dynamic cloud infrastructures where roles of
servers may change frequently. Furthermore, we complement group monitoring with
a control element allowing administrator-specified actions to be performed over
servers within service groups as well as introduce further customized
monitoring metrics. This paper outlines the design, implementation and
evaluation of the C2MS.Comment: Proceedings of the The 5th IEEE International Conference on Cloud
Computing Technology and Science (CloudCom 2013), 8 page
Development of mobile indoor positioning system application using android and bluetooth low energy with trilateration method
This proceedings volume contains papers presented at the fifth International Conference on Soft Computing, Intelligent System and Information Technology (the 5th ICSIIT) held in Bali, Indonesia, 26-29 September 2017. Main theme of this international conference is �Building Intelligence through IoT and Big Data�, and it was organized and hosted by Informatics Engineering Department, Petra Christian University, Surabaya, Indonesia.
The Program Committee received 106 submissions for the conference from across Indonesia and around the world. After peer-review process by at least two reviewers per paper, 64 papers were accepted and included in the proceedings. The papers were divided into ten groups: Classification and Correlation Techniques, Feature Extraction and Image Recognition Methods, Algorithms for Intelligent Computation, Distributed Systems and Computer Networks, Mobile and Pervasive IoT Applications, Assessments of Integrated IS/IT, Simulation and Virtual Reality Applications, Smart Assistive Technologies, Smart Mobile Applications, Case Studies of Knowledge Discovery and Management
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