technology from seed Cloud-TM: A distributed transactional memory platform for the Cloud Paolo Romano INESC ID Lisbon, Portugal 1st Plenary EuroTM Meeting, Paris May 2011

At a glance 2 1st Plenary EuroTM Meeting, Paris May 2011

Cloud computing: the vision lower barriers to entry and capital costs via usage-based pricing schemes minimize operating costs & carbon footprint via elastic resource provisioning achieve unprecedented scalability levels 3 1st Plenary EuroTM Meeting, Paris May 2011

Project Motivations Cloud computing is at the peak of its hype… How to materialize the vision and maximize actual productivity? 1st Plenary EuroTM Meeting, Paris May 2011 SIMPLIFYING THE DEVELOPMENT AND ADMINISTRATION OF CLOUD APPLICATIONS

Key Goals Develop an open-source middleware platform for the Cloud: 1.Providing a simple and intuitive programming model: hide complexity of distribution, persistence, fault-tolerance let programmers focus on differentiating business value 2.Minimizing administration and monitoring costs: automate elastic resource provisioning based on applications QoS requirements 3.Minimize operational costs via self-tuning maximizing efficiency adapting consistency mechanisms upon changes of workload and allocated resources 1st Plenary EuroTM Meeting, Paris May 2011

The Cloud-TM Programming Paradigm: Background Transactional Memories (TM): –replace locks with atomic transactions in multi/many core systems –hide away synchronization issues from the programme –drastically simplify development of parallel applications Distributed Transactional Memories (DTM): –extends the TM abstraction over the boundaries of a single machine –avoid performance pitfalls of Distributed Shared Memory via speculation: no need to synchronize every and each read/write operation batch consistency actions at commit time have been shown to scale up to hundreds of node (Sinfonia, ClusterSTM) 1st Plenary EuroTM Meeting, Paris May 2011

The Cloud-TM Programming Paradigm: Elastic Distributed Transactional Memory Elastic scale-up and scale-down of the DTM platform: –data distribution policies minimizing reconfiguration overhead –auto-scaling based on user defined QoS & cost constraints Transparent support for fault-tolerance via data replication: –self-tuning of consistency protocols driven by workload changes Language level support for: –transparent support of object-oriented domain model (incl. search) –highly scalable abstractions –parallel transaction nesting in distributed environments 1st Plenary EuroTM Meeting, Paris May 2011

Architectural Overview 1st Plenary EuroTM Meeting, Paris May 2011

Autonomic adaptation at play 1st Plenary EuroTM Meeting, Paris May 2011

Conclusions Whole new breed of research challenges: –elasticity: self-tuning as an essential requirement –non-uniform transaction synchronization costs: multi-core rack data-center cloud federation –unprecedented scalability challenge 10 1st Plenary EuroTM Meeting, Paris May 2011

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Projects timeline Internet of Services Collaboration Meeting – Bruxelles October 2010 June 2011 Dec 2010 June 2013 Mar 2013 Dec 2012