The 15th IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2017)
Guangzhou, China, December 12-15, 2017

Organizers:
Guangzhou University, China
Central South University, China

http://trust.gzhu.edu.cn/conference/ISPA2017/

Welcome to participate in IEEE ISPA 2017, Guangzhou, China, December 12-15, 2017! Guangzhou, a city in spring forever, is the capital city of Guangdong Province. Guangzhou is also the third largest city in China, located in the north of the Pearl River Delta, close to Hong Kong and Macau. With evergreen plants and flowers blooming all year round, the city has an alias of "City of Flowers". Guangzhou is one of the first batch of 24 historical and cultural cities released by the State Council, with more than 2200 years of history and profound cultural heritage, and also a major terminus of the maritime Silk Road. Guangzhou is one of the most famous tourist resorts in China, with a lot of tourist sites, such as Baiyun Mountain, Guangzhou Tower, and Yuexiu Park.

The IEEE ISPA 2017 (15th IEEE International Symposium on Parallel and Distributed Processing with Applications) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel programming models and much more. During the symposium, scientists and engineers in both academia and industry are invited to present their work on concurrent and parallel systems (multicore, multithreaded, heterogeneous, clustered systems, distributed systems, grids, clouds, and large scale machines).

****Scope and Interests****
(1) Systems and Architectures Track
Cloud computing and data center technology
Migration of computations
Multi-clouds environments, cloud federation, interoperability
Energy management and Green Computing
Wireless and mobile networks
Internet of things (IoT)
Social Networks, crowdsourcing, and P2P systems
(2) Technologies and Tools Track
Building block processors: FPGA, multicore, GPU, NoC, SoC
Parallel and distributed algorithms
Tools/environments for parallel/distributed software development
Novel parallel programming paradigms
Programming models for cloud services and applications
Code generation and optimization
Compilers for parallel computers
Middleware and tools
Scheduling and resource management
Performance simulations, measurement, and evaluations
Reliability, fault tolerance, dependability, and security
(3) Applications Track
High-performance scientific and engineering computing
Grid and cluster computing
Pervasive and ubiquitous computing
Databases, data mining, and data management
Big data and business analytics
Scientific cloud systems and services
Internet computing and web services
Application scenarios of IoT and ubiquitous computing
Experience with computational, workflow and data-intensive applications
Software Defined Networks and its applications

****Submission and Publication Information****
All papers need to be submitted electronically through the conference website (https://easychair.org/conferences/?conf=ispa2017) with PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages (or up to 12 pages with the pages over length charge), including tables, figures, references and appendixes, in IEEE Computer Society proceedings Format with Portable Document Format (.pdf).

Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. Accepted and presented papers will be included in the IEEE CPS Proceedings. Distinguished papers presented at the conference, after further revision, will be recommended to high quality international journals.