14th IEEE International Conference on Scalable Computing and Communications, Bali, Indonesien

Abbrevation

ScalCom

Link

http://cse.stfx.ca/~scalcom2014/cfp.php

City

Bali

Country

Indonesia

Deadline Paper

2014-07-30

Start Date

2014-12-09

End Date

2014-12-12

Abstract

Big data has been manifesting the industry and academic community for the past few years. Data intensive throughput oriented applications such as videos, games, music, databases are flooding the Internet with tremendous amount of data flowing through as digital content. Retrieving, processing, distilling, delivering the content in real time is of significant importance to end users. One distinguishing feature of these applications is in the amount of data–level parallelism available to process the data independently on scalable multi–core chips or Cloud/Grid computing environments. On the other hand, there are many complex applications such as biological networks, social networks, finance, medicine that are not only data and compute intensive but also communication and bandwidth intensive. The data structures used in these problems are irregular, usually, pointer–based, graphs or trees that makes solving these problems on high performance/distributed computers challenging. To handle the dynamic nature of big data successfully, architectures, networks, memory, algorithms and programming languages should be scalable and extendable to accommodate the varying needs of the applications. Moreover, with service oriented computing gaining popularity, fault tolerant, scalable private and public Cloud, scalable and adaptable service level agreements become important. ScalCom–14 focuses on the â€œFoundationsâ€ –– advances in parallel multi–core architectures, distributed Grid and Cloud computing environments with respect to networking, memory, fault tolerance, service oriented computing; â€œApplicationsâ€ –– data/compute/communication/bandwidth intensive problems from various disciplines; â€œTheoryâ€ –– innovative scalable parallel/distributed algorithms involving heuristic, meta heuristics or graph algorithm partitioning techniques; â€œPerformanceâ€ –– metrics, performance measurement, benchmark design, run–time performance management. The goal of ScalCom–14 is to provide an international forum for researchers working in myriad areas of scalable computing and communications to share their ideas and experiences. ScalCom–14 is soliciting original, previously unpublished work addressing research challenges and presenting advances in the design and implementation of scalable computing and communication systems. Topics of interest include, but are not limited to: Topics of interest include, but are not limited to: New design in Multi–core Architectures for Scalability System Interconnect Memory System architecture Programming languages such as Julia, Python, OpenCL, CUDA Compilation Run–time support Power Benchmark design Cloud/Grid Computing Resource sharing/monitoring Data storage Replication, load balancing Live migration Fault tolerant computing Scalable service oriented architectures Hadoop framework MapReduce Scalable service level agreements Green cloud systems and networking Mobile cloud system design Performance analysis–networks, system, storage Algorithms and Data Structures for Scalability–Rethinking Graph partitioning algorithms Machine learning algorithms Evolutionary algorithms Swarm Intelligence Optimization algorithms Modelling and Simulation in Applications Combinatorial Optimization Computational Finance Computational Neuroscience Computational Biology Computational Physics and Chemistry Medical Imaging Computer Vision Data Intensive–Video/Audio/Image processing Computer Graphics Earth Sciences Big Data Analytics in above applications Scalable Networks Fast Interconnects New/Innovative Data Center networks Distributed algorithm and protocol design Capacity in large–scale networks Network scalability analysis Mobile and Wireless Communications Signal processing for wireless communications Network coding for mobile communications Capacity analysis in mobile networks Cooperative communications Communications with renewable energy source Mobile and Pervasive Computing Emerging applications for mobile computing Crowdsourcing based computing Energy efficiency in pervasive computing Cooperative computing Distributed pervasive computing Resource allocation Modeling and Evaluation in Communication Systems Quality and performance modeling Mobility modeling Scalability and robustness evaluation Performance evaluation metrics Traffic modeling in communication systems Workshops