| Caltech | ||||||
| Ongoing | Prof. Mani Chandy Andrey Khorlin | Chitra Dorai | ||||
| Distributed Stream Processing · Project Page | ||||||
| Carnegie Mellon University | ||||||
| Ongoing | Priya Narasimhan Deepti Srivastava Tudor Dumitras | Asit Dan Daniela Rosu | ||||
| Coordinated Live Upgrades with Performance and Availability Guarantees in Large Distributed Systems : The objective of this project is to develop and design system mechanisms that exploit information on system topology and service dependencies to enable the coordinated live upgrade of distributed services while meeting performance and resilience objectives set forth by business goals. To ensure minimal disruption on the application’s performance and resilience, the algorithm aims to coordinate the overall system-wide upgrade, at runtime (hence the term “live upgrade”), with little manual intervention, through a sequence of piece-wise, local upgrades at each service in the upgrade-ripple path. · Project Page | ||||||
| Columbia University | ||||||
| Ongoing | Jason Nieh | David Olshefski | ||||
| Measuring and Controlling Client Perceived Response Time · Project Page | ||||||
| Imperial College of Science, Technology and Medicine | ||||||
| Ongoing | Emil Lupu | Seraphin Calo , Jorge Lobo | ||||
| Policy Analysis and Refinement · Project Page · Distributed Software Engineering Group | ||||||
| Royal Institute of Technology (KTH, Sweden) | ||||||
| Ongoing | Rolf Stadler | Nikos Anerousis Giovanni Pacifici Alaa Youssef | ||||
| Scalable, self-organizing middleware in support of web applications · Project Page | ||||||
| Technion - Israel Institute of Technology | ||||||
| Ongoing | Assaf Schuster Konstantin Shagin | Michael Factor | ||||
| JavaSplit is a portable runtime environment for distributed execution of standard multithreaded Java programs on standard workstations. One unique feature of JavaSplit is its resilience to failures of participating workstations. This makes it is suitable for non-dedicated environments, in which a workstation may abruptly stop executing its part of a distributed computation. JavaSplit gains augmented computational power and increased memory capacity by distributing the threads and objects of an application among the available machines. Unlike previous works, which either forfeit Java portability by using a nonstandard Java Virtual Machine (JVM) or compromise transparency by requiring user intervention in making the application suitable for distributed execution, JavaSplit automatically executes standard multithreaded Java on any heterogeneous collection of Java-enabled machines. Each machine carries out its part of the computation using nothing but its local standard (unmodified) JVM. Neither the programmer nor the person submitting the program for execution needs to be aware of JavaSplit or its distributed nature. | ||||||