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IWCA 2013 : 2nd International Workshop on Cloud Computing Applications

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Link: http://www.hipc.org/hipc2013/workshop-details.php?id=2nd%20International%20Workshop%20on%20Cloud%20Computing%20Applications%20%28IWCA%29
 
When Dec 18, 2013 - Dec 18, 2013
Where Hyderabad, India
Submission Deadline Jul 15, 2013
Notification Due Aug 15, 2013
Final Version Due Aug 25, 2013
Categories    cloud computing   high performance apps   big data   software engineering
 

Call For Papers

Theme: Designing and scalable and high-performance applications for cloud.

Cloud Computing and its promise of scale, elasticity, and “pay-as-you-go” pricing models, presents an attractive proposition to corporate IT, academic researchers, as well as individual software application developers. Cloud is not just another new platform to develop and host applications, it presents opportunity to leverage unprecedented scale and performance at a reasonable cost. To harness the true potential of Cloud in terms of scalability and agility, one needs to rethink the way applications are architected and developed. Decisions across the different cloud layers – virtual machines to the app-services to data – have significant implications on an application’s behaviour in the cloud.

Many large-scale batch and HPC workloads are now being developed in Cloud. Architecture for Extreme Transaction Processing (with millions of read-write operations per minute) applications on cloud is evolving. Processing of large volume of data in so called “Big Data” paradigm is also getting hosted on cloud. So are large scale collaboration, gaming and content delivery networks.

This workshop invites papers in the broad area of Cloud Computing Applications across, but not limited to, the various research areas mentioned below. We welcome theoretical research treatise as well as practitioner reports. The workshop will also try to organize a good quality keynote presentation and a discussion panel on Cloud Application challenges.

We seek submissions on broad topics which include, but not limited to:

Handling scalability, availability and failure tolerance
Workload migration to cloud
Dealing with multi-tenancy in the platform and databases
Data locality and placement aware computation
Event-driven programming paradigms
Benchmarking and profiling applications on cloud
Caching and replication
Writing effective map-reduce code
Monitoring and Performance Management

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