Ensure maximum uptime for ALL of your mission critical applications, data and systems with our unified approach. Find Out More Uptime and Recovery Challenges

Source URL: d3ciwvs59ifrt8.cloudfront.net

• Computing
• Business continuity and disaster recovery
• Data management
• Concurrent computing
• Cloud storage
• Distributed computing
• Backup
• Disaster recovery
• Data center

4 Juno: A Middleware Platform for Supporting Delivery-Centric Applications GARETH TYSON, Queen Mary, University of London ANDREAS MAUTHE, Lancaster University SEBASTIAN KAUNE, Technical University of Darmstadt

Source URL: www.eecs.qmul.ac.uk

• Computing
• Concurrent computing
• Distributed computing
• File sharing networks
• File sharing
• BitTorrent
• Distributed data storage
• Internet television
• Content delivery network
• Middleware
• Akamai Technologies
• Ono

Optimization and Tuning of MPI and PGAS Applications using MVAPICH Latest version of the slides available at http://go.osu.edu/mug14-tutorial A Tutorial at MUG’14 by

Source URL: mug.mvapich.cse.ohio-state.edu

• Parallel computing
• Message Passing Interface
• MVAPICH
• Partitioned global address space
• SHMEM
• Computer cluster
• Blue Gene
• Manycore processor
• Multi-core processor
• Supercomputer
• Distributed shared memory
• MPICH

MPI+OPENMP IMPLEMENTATION OF MEMORY-SAVING PARALLEL PIC APPLICATIONS ON HIERARCHICAL DISTRIBUTED-SHARED MEMORY ARCHITECTURES Sergio Briguglio, Giuliana Fogaccia and Gregorio Vlad Associazione EURATOM-ENEA sulla Fusione,

Source URL: www.afs.enea.it

• Parallel computing
• OpenMP
• Decomposition
• Particle-in-cell
• Computer cluster
• Message Passing Interface
• Algorithmic skeleton

DELMA: Dynamically ELastic MApReduce Framework for CPU-Intensive Applications Zacharia Fadika 1 , Madhusudhan Govindaraju 2 Department of Computer Science, State University of New York (SUNY) at Binghamton 1

Source URL: www.cs.binghamton.edu

• Parallel computing
• Apache Hadoop
• Data-intensive computing
• MapReduce
• Computer cluster
• Google File System
• Big data
• Jumbune
• Distributed file system for cloud

InContext: Simple Parallelism for Distributed Applications Sunghwan Yoo1 , Hyojeong Lee1 , Charles Killian1 , and Milind Kulkarni2 1 Department of Computer Science, 2 School of Electrical and Computer Engineering

Source URL: www.macesystems.org

• Programming paradigms
• Fault-tolerant computer systems
• Distributed algorithms
• Process
• Concurrent computing
• Parallel computing
• Event-driven programming
• Snapshot
• Event
• Complex event processing
• Object Process Methodology
• Thread

Toward Better Simulation of MPI Applications on Ethernet/TCP Networks Paul Bedaride, Augustin Degomme, St´ephane Genaud, Arnaud Legrand, George Markomanolis, Martin Quinson, Mark Stillwell, Fr´ed´eric Suter, Brice Vid

Source URL: hal.inria.fr

• Transmission Control Protocol
• Simulation
• Channel
• Scientific modelling
• Distributed computing

The 28th International Conference on Distributed Computing Systems Heuristics-Based Strategies for Resolving Context Inconsistencies in Pervasive Computing Applications* Chang Xu, S.C. Cheung§ Dept. of Comp. Sci. & Eng

Source URL: cs.nju.edu.cn

Integration of QoS-enabled Distributed Object Computing Middleware for Developing Next-generation Distributed Applications Yamuna Krishnamurthy, Vishal Kachroo David A. Karr, Craig Rodrigues, Joseph P. Loyall and Richard

Source URL: www.cs.wustl.edu

Unique Aggregate Signatures with Applications to Distributed Verifiable Random Functions? Veronika Kuchta and Mark Manulis Department of Computing, University of Surrey, United Kingdom , mark@manulis

Source URL: manulis.eu