Dmitrii Zagorodnov

TL;DR: This work presents Eucalyptus -- an open-source software framework for cloud computing that implements what is commonly referred to as Infrastructure as a Service (IaaS); systems that give users the ability to run and control entire virtual machine instances deployed across a variety physical resources.

TL;DR: This paper applies VGrADS' virtual grid execution system (vgES) for scheduling a set of deadline sensitive weather forecasting workflows and reports on experiences with virtualized reservations for batchqueue systems, coordinated usage of TeraGrid, Amazon EC2, and Eucalyptus resources, and fault tolerance through automated task replication.

TL;DR: Eucalyptus is presented, an open-source software implementation of cloud computing that utilizes compute resources that are typically available to researchers, such as clusters and workstation farms, and is the first research-oriented open- source cloud computing system focused on enabling methodical investigations into the programming, administration, and deployment of systems exploring this novel distributed computing model.

TL;DR: This article describes an architecture that allows a replicated service to survive crashes without breaking its TCP connections, and compares two implementations of this architecture based on primary/backup replication and another based on message logging focusing on scalability, failover time, and application transparency.

TL;DR: A performance-efficient approach to scheduling applications in dynamic multiple-user distributed environments such as the IPG is described, which provides the basis for application scheduling agents called AppLeS.