Optimal Service Elasticity in Large-Scale Distributed Systems

Building Large-scale, Service-Oriented Distributed Systems using Semantic Models

Service-oriented computing is a set of principles for building loosely-coupled distributed applications through the composition of autonomous services. For example, OGSA aims to define a core set of composable services for the Grid application domain that includes job submission and monitoring, accounting, reservation, execution planning and database access, and the goal is for application-deve...

Service Interruptions in Large-Scale Service Systems

Large-scale service systems, where many servers respond to high demand, are appealing because they can provide great economy of scale, producing a high quality of service with high efficiency. Customer waiting times can be short, with a majority of customers served immediately upon arrival, while server utilizations remain close to 100%. However, we show that this confluence of quality and effi...

Robust Large-Scale Distributed Systems

Cooperative and peer-to-peer services both seek to provide a way to scale services beyond what can be provided by even a high-end server machine. Cooperative services do this by treating a service as a parallel program and then running the program across a cluster of machines. Key challenges include rearchitecting services not only to provide good performance by balancing parallelism and locali...

Snapshots in large-scale distributed file systems

Snapshots are present in many modern file systems, where they allow to create consistent on-line backups, to roll back corruptions or inadvertent changes of files, and to keep a record of changes to files and directories. While most previous work on file system snapshots refers to local file systems, modern trends like cloud and cluster computing have shifted the focus towards distributed stora...

Resilience in Large Scale Distributed Systems