CCRM 2013 - The First International Workshop on Resource Management of Cloud Computing (CCRM 2013)

Cloud Computing is now an established industrial standard and grows extremely fast. Cloud Computing is defined as follows by NIST: "Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction."
In short, Cloud Computing is a new way of utilizing computing resources and consolidating IT applications. Resource Management is a core issue of Cloud Computing.
Cloud Computing utilizes large-scale virtualized data centers to provision rapid and cost-effective computing services. Cloud Computing is much like utility computing as electricity. To efficiently manage such large volume of resources, Cloud Computing heavily utilizes automation and dynamic resource management. However, there is little experience of managing virtualized resources in such an unprecedented scale, both from industry or academia. Existing Cloud Computing infrastructures employ ad-hoc designs and architectures which cannot be applied ubiquitously and cause poor interoperability between Cloud service providers and service lock-in. The agenda of this workshop, therefore, focuses on the theory and practice of the efficient resource management of Cloud Computing. This workshop solicits authentic research work on the fundamental theory of Cloud resource management, and the design, implementation and evaluation of novel Cloud resource management systems. Topics of interests addressed by this workshop include, but not limited to:
API design for resource management in Cloud computing
Cloud infrastructure consolidation
Cloud-ready network architecture and management
Federated Management of Cloud computing platforms
Resource discovery and scheduling of Cloud computing
Performance modeling, predication and optimization
Resource description, measurement, and accounting.
Interoperability between heterogeneous cloud platforms
Managing variability in Cloud
Application specific management framework, algorithms and protocols
Resource management for SaaS, PaaS, and IaaS Cloud services
Interoperability between private and public Cloud management
Hardware and Software support for Cloud resource management
Multi-tenant resource management
Economic, business models and pricing policies
Resource management of mobile clouds
Security and privacy of resource management of Cloud Computing
Committees
General chair:
Yaxiong Zhao, PhD, Amazon.com Inc.; zhaoyaxi-AT-amazon.com
General co-chair:
Yingying Cheng, PhD, Associate Professor, Stevens Institute of Technology; yingying.chen-AT-stevens.edu
Program co-chairs:
Jie Yang, PhD, Assistant Professor, Oakland University; yang-AT-oakland.edu
Shaojie Tang, PhD, Illinois Institute of Technology; stang7-AT-hawk.iit.edu