ORMaCloud 2013 - Workshop on Optimization techniques for Resources Management in Clouds

The Cloud Computing paradigm is gaining an increasing degree of popularity and interest both in the industrial and in the scientific community, allowing customers to outsource the management of physical resources, and to rent a variable amount of resources according to their actual needs, in a pay-per-use fashion. In order to hide to customers the details of physical resources and to provide a flexible and efficient environment to users, Cloud Resource Management (acronym CloudRM) targets a multitude of constraints and objectives, with the burden of optimizing physical resource usage to ensure feasible business model placed entirely on Cloud providers. Due to the typical scale of Cloud systems, these goals are achieved mainly by infrastructures characterized by a high degree of automation. Such infrastructures allow resource provisioning and dynamic management of compute, storage and network resources.
The OrmaCloud workshop will focus on management and optimization issues related to dependability, scalability, economicity and performance at each level of cloud computing infrastructures, but also on green computing concerns, i.e. issues related with energy efficiency and carbon footprint limitation. The workshop aims at providing a venue for investigating and discussing these issues and state of the art techniques to solve them from a number of different viewpoints. Like:
Different Cloud Platforms:single-tenant Clouds, Cloud brokering platforms, Cloud Federations;
Features required by Scientific, Real-time, 24/7, and Big Data Applications, as well as other classes of Applications;
CloudRM and advanced QoS management for performance, networking, power efficiency, security, reliability;
Unified programming models and impact of the IaaS/PaaS interaction on CloudRM;
Supporting techniques and methodologies for CloudRM: resource mapping and scheduling, autonomic management, service monitoring and modeling;
Interplay of CloudRM and Cloud business models;
Topics of Interest
According to the above desciption, the topics of interest for the workshop include but are not limited to:
Optimization Algorithms for CloudRM in Clouds, Cloud Brokers and Cloud Federations
CloudRM solutions targeting specific classes of applications including Scientific, Real-time, 24/7, and Big Data Applications
Design of energy efficient Cloud IaaS software stacks and middlewares
Design of QoS aware Cloud IaaS software stacks and middlewares
Computing models for PaaS in Clouds allowing advanced CloudRM: QoS-, Green- and Security-aware
Abstractions for new types of resource: CloudRM of multicore CPUs and GPUs
Autonomic approaches to CloudRM
Multicriteria Scheduling for CloudRM
Advanced monitoring solutions for CloudRM
Benchmarks for CloudRM evaluation
CloudRM impacts on Cloud business models
Paper Submission Guidelines
Authors are invited to submit technical papers of at most 8 pages in PDF format, including figures and references. Papers should be formatted in the ACM Proceedings Style and submitted via the workshop web site. No changes to the margins, spacing, or font sizes as specified by the style file are allowed. Accepted papers will appear in the conference proceedings, and will be incorporated into the ACM Digital Library. Papers must be self-contained and provide the technical substance required for the program committee to evaluate their contributions. Papers should thoughtfully address all related work. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal. See the ACM Prior Publication Policy for more details.