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Displaying 1-40 out of 40 total
Energy-Aware High Performance Computing: A Taxonomy Study
Found in: Parallel and Distributed Systems, International Conference on
By Chang Cai,Lizhe Wang,Samee U. Khan,Jie Tao
Issue Date:December 2011
pp. 953-958
To reduce the energy consumption and build a sustainable computer infrastructure now becomes a major goal of the high performance community. A number of research projects have been carried out in the field of energy-aware high performance computing. This p...
Towards Providing Cloud Functionalities for Grid Users
Found in: Parallel and Distributed Systems, International Conference on
By Weizhou Peng,Jie Tao,Lizhe Wang,Holger Marten,Dan Chen
Issue Date:December 2011
pp. 965-970
Grid computing uses a job submission model that requires the users to perform a set of interactive operations for executing an application on the Grid. Grid users are therefore burdened with the tasks of understanding the basic concept of Grid computing an...
Schedule Distributed Virtual Machines in a Service Oriented Environment
Found in: Advanced Information Networking and Applications, International Conference on
By Lizhe Wang, Gregor von Laszewski, Marcel Kunze, Jie Tao
Issue Date:April 2010
pp. 230-236
Virtual machines offer unique advantages to the scientific computing community, such as Quality of Service(QoS) guarantee, performance isolation, easy resource management, and the on-demand deployment of computing environments. Using virtual machines as a ...
A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU
Found in: 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
By Dan Chen,Lizhe Wang,Dong Cui,Dongchuan Lu,Xiaoli Li,Samee U. Khan,Joanna Kolodziej
Issue Date:May 2012
pp. 1971-1978
Nonlinear interdependency (NLI) analysis is an effective method for measurement of synchronization among brain regions, which is an important feature of normal and abnormal brain functions. But its application in practice has long been largely hampered by ...
Parallel Processing of Massive EEG Data with MapReduce
Found in: 2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS)
By Lizhe Wang,Dan Chen,Rajiv Ranjan,Samee U. Khan,Joanna KolOdziej,Jun Wang
Issue Date:December 2012
pp. 164-171
Analysis of neural signals like electroencephalogram (EEG) is one of the key technologies in detecting and diagnosing various brain disorders. As neural signals are non-stationary and non-linear in nature, it is almost impossible to understand their true p...
Power Aware Scheduling for Parallel Tasks via Task Clustering
Found in: Parallel and Distributed Systems, International Conference on
By Lizhe Wang, Jie Tao, Gregor von Laszewski, Dan Chen
Issue Date:December 2010
pp. 629-634
It has been widely known that various benefits can be achieved by reducing energy consumption for high end computing. This paper aims to develop power aware scheduling heuristics for parallel tasks in a cluster with the DVFS technique. In this paper, forma...
Task Scheduling of Massive Spatial Data Processing across Distributed Data Centers: What's New?
Found in: Parallel and Distributed Systems, International Conference on
By Weijing Song,Shasha Yue,Lizhe Wang,Wanfeng Zhang,Dingsheng Liu
Issue Date:December 2011
pp. 976-981
Spatial data processing in general involves large-scale distributed computing resources across multiple data centers and distributed massive data sets. Task scheduling of spatial data processing across distributed data centers brings new research issues an...
NOHAA: A NOvel Framework for HPC Analytics over Windows Azure
Found in: 2012 IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS)
By Qiangju Xiao,Jun Wang,Yan Ma,Lizhe Wang
Issue Date:December 2012
pp. 448-455
HPC analytics has become increasingly vital to analyze the large volumes of data produced by sophisticated computing instruments. Meanwhile, with the successful development of cloud computing, more and more scientists are devoted to deploy HPC analytics in...
Generic Parallel Programming for Massive Remote Sensing Data Processing
Found in: 2012 IEEE International Conference on Cluster Computing (CLUSTER)
By Yan Ma,Lizhe Wang,Dingsheng Liu,Peng Liu,Jun Wang,Jie Tao
Issue Date:September 2012
pp. 420-428
Remote Sensing (RS) data processing is characterized by massive remote sensing images and increasing amount of algorithms of higher complexity. Parallel programming for data-intensive applications like massive remote sensing image processing on parallel sy...
Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU
Found in: IEEE-ACM International Conference on Green Computing and Communications and International Conference on Cyber, Physical and Social Computing
By Dan Chen, Lizhe Wang, Shuaiting Wang, Muzhou Xiong, Gregor von Laszewski, Xiaoli Li
Issue Date:December 2010
pp. 147-154
Analysis of neural signals (such as EEG) has long been a hot topic in neuroscience community due to neural signals’ nonlinear and non-stationary features. Recent advances of experimental methods and neuroscience research have made neural signals constantly...
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Lizhe Wang, Gregor von Laszewski, Jay Dayal, Fugang Wang
Issue Date:May 2010
pp. 368-377
Reducing energy consumption for high end computing can bring various benefits such as, reduce operating costs, increase system reliability, and environment respect. This paper aims to develop scheduling heuristics and to present application experience for ...
Cyberaide Creative: On-Demand Cyberinfrastructure Provision in Clouds
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Casey Rathbone, Lizhe Wang, Gregor von Laszewski, Fugang Wang
Issue Date:December 2009
pp. 684-690
As demand for grid and cloud computing solutions increases, the need for user oriented software to provide access to theses resources also increases. Until recently the use of computing resources was limited to those with exceptional knowledge of the syste...
A Parallel File System with Application-aware Data Layout Policies in Digital Earth
Found in: IEEE Transactions on Parallel and Distributed Systems
By Lizhe Wang,Yan Ma,Albert Zomaya,Rajiv Ranjan,Dan Chen
Issue Date:June 2014
pp. 1
Remote sensing applications in Digital Earth are overwhelmed with vast quantities of remote sensing (RS) image data. The intolerable I/O burden introduced by the massive amounts of RS data and the irregular RS data access patterns has made the traditional ...
Cloud monitoring for optimizing the QoS of hosted applications
Found in: 2012 IEEE 4th International Conference on Cloud Computing Technology and Science (CloudCom)
By Khalid Alhamazani,Rajiv Ranjan,Fethi Rabhi,Lizhe Wang,Karan Mitra
Issue Date:December 2012
pp. 765-770
Cloud monitoring involves dynamically tracking the Quality of Service (QoS) parameters related to virtualized services (e.g., CPU, storage, network, appliances, etc.), the physical resources they share, and the applications running on them or data hosted o...
Parallel Simulation of Threat Management for Urban Water Distribution Systems with MapReduce in Clouds
Found in: Computing in Science & Engineering
By Lizhe Wang,Dan Chen,wangyang liu,Yan Ma,Yanhui Wu,Ze Deng
Issue Date:July 2012
pp. 1-1
The Contaminant Source Characterization (CSC) problem in a Water Distributed System (WDS) exhibits a compute-intensive challenge that requires highly reliable and high performance computing resources in order to achieve near real-time processing. Tradition...
Message from ISSR Workshop Chairs
Found in: 2012 IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
By Kouichi Sakurai,Lizhe Wang,EI-Sayed M. EI-Alfy
Issue Date:June 2012
pp. xlii
No summary available.
A Simulation Study on Urban Water Threat Detection in Modern Cyberinfrastructures
Found in: 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
By Lizhe Wang,Dan Chen,Ze Deng,Rajiv Ranjan
Issue Date:May 2012
pp. 1040-1047
The computation of Contaminant Source Characterization (CSC) is a critical research issue in Water Distribution System (WDS) management. We use a simulation framework to identify optimized locations of sensors that lead to fast detection of contamination s...
MapReduce across Distributed Clusters for Data-intensive Applications
Found in: 2012 26th IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
By Lizhe Wang,Jie Tao,Holger Marten,Achim Streit,Samee U. Khan,Joanna Kolodziej,Dan Chen
Issue Date:May 2012
pp. 2004-2011
Recently, the computational requirements for large scale data-intensive analysis of scientific data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron Collider (LHC) produced 13 petabytes of data in 2010. This huge amount ...
A Performance Study of Virtual Machines on Multicore Architectures
Found in: Parallel, Distributed, and Network-Based Processing, Euromicro Conference on
By Jie Tao,Karl Fürlinger,Lizhe Wang,Holger Marten
Issue Date:February 2012
pp. 89-96
Cloud computing has promoted the widespread use of virtualized machines. A question arises: How does virtualization influence the performance of running applications? The answer must be a common interest of application dev elopers and users. This paper des...
An Application of Markov Jump Process Model for Activity-Based Indoor Mobility Prediction in Wireless Networks
Found in: Frontiers of Information Technology
By Joanna Kolodziej,Samee Ullah Khan,Lizhe Wang,Nasro Min-Allah,Sajjad A. Madani,Nasir Ghani,Hongxiang Li
Issue Date:December 2011
pp. 51-56
One of the most important objectives of a wireless network is to facilitate a prediction of users mobility regardless of their point of attachment to the network. In indoor environments the effective users motion prediction system and wireless localization...
Massively Parallel Neural Signal Processing on a Many-Core Platform
Found in: Computing in Science and Engineering
By Dan Chen,Lizhe Wang,Gaoxiang Ouyang,Xiaoli Li
Issue Date:November 2011
pp. 42-51
Although the ensemble empirical mode decomposition (EEMD) method and Hilbert-Huang transform (HHT) offer an unrivaled opportunity to understand neural signals, the EEMD algorithm's complexity and neural signals' massive size have hampered EEMD application....
Building Similar Link Network in Large-Scale Web Resources
Found in: Parallel and Distributed Systems, International Conference on
By Xiangfeng Luo, Jingjing Ni, Jun Zhang, Lizhe Wang
Issue Date:December 2010
pp. 687-693
Similar Link Network (SiLN) is a semantic over layer on Web resources with similar relations instead of hyperlinks, which aims at providing plentiful semantics for intelligent Web activities. However, SiLN is difficult to be built based on cosine computati...
Cyberaide onServe: Software as a Service on Production Grids
Found in: Parallel Processing, International Conference on
By Tobias Kurze, Lizhe Wang, Gregor von Laszewski, Jie Tao, Marcel Kunze, David Kramer, Wolfgang Karl
Issue Date:September 2010
pp. 395-403
The Software as a Service (SaaS) methodology is a key paradigm of Cloud computing. In this paper, we focus on an interesting topic – to implement a Cloud computing functionality, the SaaS model, on existing production Grid infrastructures. In general, prod...
Efficient resource management for Cloud computing environments
Found in: International Conference on Green Computing
By Andrew J. Younge, Gregor von Laszewski, Lizhe Wang, Sonia Lopez-Alarcon, Warren Carithers
Issue Date:August 2010
pp. 357-364
The notion of Cloud computing has not only reshaped the field of distributed systems but also fundamentally changed how businesses utilize computing today. While Cloud computing provides many advanced features, it still has some shortcomings such as the re...
Studying Filter Cache Bypassing on Embedded Systems
Found in: Computer and Information Technology, International Conference on
By Jie Tao, Dominic Hillenbrand, Lizhe Wang, Holger Marten
Issue Date:July 2010
pp. 1679-1686
Filter caches have been proposed to decrease the energy consumption on embedded systems. However, the achievement in energy is usually acquired with a loss in performance. This work investigates a novel filter cache architecture that outperforms a traditio...
Towards Thermal Aware Workload Scheduling in a Data Center
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Lizhe Wang, Gregor von Laszewski, Jai Dayal, Xi He, Andrew J. Younge, Thomas R. Furlani
Issue Date:December 2009
pp. 116-122
High density blade servers are a popular technology for data centers, however, the heat dissipation density of data centers increases exponentially. There is strong evidence to support that high temperatures of such data centers will lead to higher hardwar...
Experiment and Workflow Management Using Cyberaide Shell
Found in: Cluster Computing and the Grid, IEEE International Symposium on
By Gregor von Laszewski, Andrew Younge, Xi He, Kumar Mahinthakumar, Lizhe Wang
Issue Date:May 2009
pp. 568-573
In recent years the power of Grid computing has grown exponentially through the development of advanced middleware systems. While usage has increased, the penetration of Grid computing in the scientific community has been less than expected by some. This i...
Scientific Cloud Computing: Early Definition and Experience
Found in: High Performance Computing and Communications, 10th IEEE International Conference on
By Lizhe Wang, Jie Tao, Marcel Kunze, Alvaro Canales Castellanos, David Kramer, Wolfgang Karl
Issue Date:September 2008
pp. 825-830
Cloud computing emerges as a new computing paradigm which aims to provide reliable, customized and QoS guaranteed computing dynamic environments for end-users. This paper reviews recent advances of Cloud computing, identifies the concepts and characters of...
On-Demand Build a Virtual e-Science Workflow
Found in: Grid and Pervasive Computing, International Conference on
By Lizhe Wang, Emeric Kwemou, Jie Tao, Marcel Kunze, David Kramer, Wolfgang Karl
Issue Date:May 2008
pp. 93-98
A typical e-Science infrastructure contains GridSAM as Grid middleware, Active BPEL engine as workflow engine to build a workflow system. Grid Virtualization Service (GVS) is used to provide virtual machines as computing resources for the e-Science infrast...
Organization of CMS benchmarks in VDS Workflow on Virtual Machines
Found in: Grid and Cloud Computing, International Conference on
By Lizhe Wang, Marcel Kunze
Issue Date:August 2007
pp. 749-756
Grid computing now becomes the de-facto standard for distributed computing and provides huge computing resources for high performance scientific & engineering applications. Recent advantages of virtual computing technologies make it possible to efficie...
On the Design of Virtual Environment Based Workflow System for Grid Computing
Found in: Grid and Cooperative Computing Workshops, International Conference on
By Lizhe Wang, Marcel Kunze
Issue Date:October 2006
pp. 212-218
The Grid computing paradigm offers promising solutions for distributed systems and applications. Currently, increasing resources are involved in Grid environments and various applications are running on computational Grids. Unfortunately, Grid computing te...
DPBP: A Sort-First Parallel Rendering Algorithm for Distributed Rendering Environments
Found in: Cyberworlds, International Conference on
By Huabing Zhu, Kai Yun Chan, Lizhe Wang, Wentong Cai, Simon See
Issue Date:December 2003
pp. 214
In some visualization systems, the data and computational resources are distributed globally and users need to interact with these resources easily and efficiently. Real-time rendering for massive datasets is a computation intensive task. one solution is t...
A Distributed Rendering Environment for Massive Data on Computational Grids
Found in: Peer-to-Peer Computing, IEEE International Conference on
By Huabing Zhu, Lizhe Wang, Chan Kai Yun, Wentong Cai, Simon See
Issue Date:September 2003
pp. 176
Scientific visualization, especially for massive data sets, has emerged in different disciplines recently. Generally, distributed scientific visualization applications require multiple resources, e.g., high-end computing resources to process data, high spe...
Resource Co-allocation for Parallel Tasks in Computational Grids
Found in: Challenges of Large Applications in Distributed Environments, International Workshop on
By Lizhe Wang, Wentong Cai, Bu-Sung Lee, Simon See, Wei Jie
Issue Date:June 2003
pp. 88
Tasks running in computational Grids may require multiple types of resources simultaneously. Thus, co-allocation of multiple types of resources is needed when scheduling tasks. Traditional list scheduling heuristics cannot address the problem of resource c...
Ultra-scalable CPU-MIC Acceleration of Mesoscale Atmospheric Modeling on Tianhe-2
Found in: IEEE Transactions on Computers
By Wei Xue,rajiv Ranjan,Lizhe Wang
Issue Date:February 2015
pp. 1
In this work an ultra-scalable algorithm is designed and optimized to accelerate a 3D compressible Euler atmospheric model on the CPU-MIC hybrid system of Tianhe-2. We first reformulate the mesocale model to avoid long-latency operations, and then employ c...
CloudGenius: A Hybrid Decision SupportMethod for Automating the Migration of WebApplication Clusters to Public Clouds
Found in: IEEE Transactions on Computers
By Michael Menzel,Rajiv Ranjan,Lizhe Wang,Samee Khan,Jinjun Chen
Issue Date:February 2015
pp. 1
With the increase in cloud service providers, and the increasing number of compute services offered, a migration of information systems to the cloud demands selecting the best mix of compute services and VM (Virtual Machine) images from an abundance of pos...
Task-Tree Based Large-Scale Mosaicking for Massive Remote Sensed Imageries with Dynamic DAG Scheduling
Found in: IEEE Transactions on Parallel and Distributed Systems
By Yan Ma,Lizhe Wang,Albert Y. Zomaya,Dan Chen,Rajiv Ranjan
Issue Date:August 2014
pp. 2126-2137
Remote sensed imagery mosaicking at large scale has been receiving increasing attentions in regional to global research. However, when scaling to large areas, image mosaicking becomes extremely challenging for the dependency relationships among a large col...
Parallel Simulation of Complex Evacuation Scenarios with Adaptive Agent Models
Found in: IEEE Transactions on Parallel and Distributed Systems
By Dan Chen,Lizhe Wang,Albert Zomaya,Minggang Dou,Jingying Chen,Ze Deng,Salim Hariri
Issue Date:March 2014
pp. 1
Simulation study on evacuation scenarios has gained tremendous attention in recent years. Two major research challenges remain along this direction: (1) how to portray the effect of individuals’ adaptive behaviors under various situations in the evacuation...
Parallel Processing of Dynamic Continuous Queries over Streaming Data Flows
Found in: IEEE Transactions on Parallel and Distributed Systems
By Ze Deng,Xiaomin Wu,Lizhe Wang,Xiaodao Chen,Rajiv Ranjan,Albert Zomaya,Dan Chen
Issue Date:March 2014
pp. 1
More and more real-time applications need to handle dynamic continuous queries over streaming data of high density. Conventional data and query indexing approaches generally do not apply for excessive costs in either maintenance or space. Aiming at these p...
Facial expression recognition using geometric and appearance features
Found in: Proceedings of the 4th International Conference on Internet Multimedia Computing and Service (ICIMCS '12)
By Dan Chen, Jingying Chen, Kun Zhang, Lizhe Wang, Meng Yu, Yujiao Gong
Issue Date:September 2012
pp. 29-33
A novel method using hybrid geometric and appearance features of the difference between the neutral and fully expressive facial expression images is proposed for facial expression recognition in this paper. The difference tends to emphasize the facial part...