The Autonomic Cloud An ASCENS case study Future Emerging Technologies

The ASCENS Autonomic Cloud A distributed software system which is able to execute applications in the presence of challenges such as A fluctuating environment: heterogeneous nodes which join and leave at will Different requirements of applications such as required CPU time and memory that must be satisfied The need for energy conservation wherever possible, but still being able to execute applications

The ASCENS Autonomic Cloud The cloud achieves self-* properties, such as self- awareness and self-adaptivity, through integration of three computing areas Voluntary Computing: Individuals donate resources, and can remove them Peer-to-Peer Computing: There is no central entity or coordinator Cloud Computing: Applications are executed “in the net” without the need for manual configuration

Helena Ensemble Modeling SCEL/SACPL Development SOTA Goals and Utilities DEECo planning & monitoring Experimental Evaluation of Cooperative Approaches Policy-Based Control with FACPL Stability in dDoS Attacks Pastry Routing Analysis Adaptation Patterns Full KnowLang Cloud Model The case study is a test-bed for many ASCENS approaches over the whole life-cycle of autonomic systems Zimory IaaS

The ASCENS Autonomic Cloud A working demonstrator of the ASCENS cloud – called the Science Cloud Platform (SCP) – has been implemented It allows executing applications “on the cloud” in a heterogeneous, p2p-based network It reacts to events such as leaving and joining nodes, or increased load It can use the Zimory IaaS platform for dynamically adding and removing virtual machines for the network

The ASCENS Autonomic Cloud Each application in the cloud is managed by several nodes in different roles A node with the initiator role is responsible for supervising app storage, migration, and execution A node with the executor role is responsible for actually executing the app Different other roles support the management process by storing app bytecode and deploying / undeploying apps and virtual machines

DEMO 1 Using the SCP in a non-virtualized environment This demo shows how the cloud reacts to failing and joining nodes

DEMO 2 Using the SCP with IaaS support This demo shows how the SCP can spawn new VMs, and shut them down for energy conservation

Summary The Science Cloud Platform (SCP) demonstrator implements a prototype for a peer-2-peer, voluntary computing-based autonomic cloud The cloud is based on research performed within the ASCENS project Design time: requirements analysis, modeling/programming, and verification Runtime: Monitoring, awareness, and self-adaptation

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