CLOUSO 2013 - International Workshop on CLOUd Storage Optimization (CLOUSO 2013)

While the emergence of cloud environments has made feasible the delivery of Internet-scale services, current research efforts focus on key issues related to cloud storage, which are considered of major importance given the amount of data produced by various sources. The vast amounts of digital data being produced (a representative figure that highlights the huge amount of data being produced nowadays is the fraction of data on the Internet that is indexed by Google, which is only 0.004%) hold the key to creating such an advantage, but only if the data can be efficiently utilized. The latter poses the need for new, cloud based and cloud-scalable technologies in order to overcome various limitations that affect the adoption of storage cloud services. These limitations refer to: the abstraction level of storage and the requirement to access content without dealing with details of the underlying infrastructure, (ii) data mobility, (iii) computational storage enabling computations to be performed close to storage, (iv) service level agreements for data-intensive services, and (v) security and compliance considerations.
The workshop will provide the scientific community a dedicated forum for discussing new technologies required to overcome the aforementioned limitations, identify requirements and determine future goals, present architectures and services in the area of emerging storage cloud technologies. The workshop will focus on research and development efforts in the domain of storage clouds, driven by the research outcomes in the framework of an EU funded project, VISION Cloud. An invited speaker, Michael C. Jaeger from Siemens Corporate Technology, with expertise within the field of distributed and storage systems will introduce related aspects in the workshop.
Topics of interest include, but are not limited to:
Data mobility and interoperability between cloud providers.
Scalability and elasticity in storage clouds.
Performance evaluation of storage cloud infrastructures.
Computational storage.
Energy-efficient data cloud design and management.
Data placement and scheduling.
Quality of Service and Service Level Agreements.
Data privacy and protection.
Data-intensive applications, characteristics, challenges.
Case studies of data intensive computing in the clouds.
Future research challenges in storage clouds.
Organizers
Massimo Villari, University of Messina, Italy.
Dimosthenis Kyriazis, National Technical University of Athens, Greece.