1. Adapting Applications and Platforms
Vertical Customization for Event-based QoS
Dr. Karsten Schwan, Dr. Greg Eisenhauer
Ada Gavrilovska, David Robinson, Qi He
Application Component
Host
Extension Modules
Active NI
Middleware
Extensible Platforms OS
Adapting Applications and Platforms
Quality
Attributes
Project Goals
IQ-ECho’s middleware enables integrated QoS management through quality attributes.
Attributes implement the cross-layer information exchanges needed to make effective runtime tradeoffs in quality vs. performance across the protocol, middleware, and application levels.
Configurable protocols and kernel-level monitoring provide the system-level support required for online quality management.
Evaluation/integration with wide-area applications: remote visualization/ sensors, access/data grid; wireless systems
IXP Approach
Host
Fast buffer-based host exchange protocol
Fast-path Reliable UDP protocol on NIC
On-the-fly code generation for moving application logic to NIC
IXP
Active NI
RUDP
Dyn.
Code
Network
IQ-ECho Approach:
Adaptive Applications on Programmable Platforms
ECho: High performance events:
Event-based peer-to-peer data communication infrastructure
QoS: Runtime adaptation via dynamic code generation and mirroring
Source-based filtering: meet required application QoS by disposition of application-specific code into remote sites and underlying platform
Mirroring: utilize redundancy to improve responsiveness
IQ-ECho: Integrated QoS management through dynamic quality attributes:
Adaptation of platform (protocols and middleware) and of applications (adaptation-awareness)
Publications and Demos
Supercomputing 2000
efficient binary message formats
Int. Parallel and Distrib. Processing Symposium (IPDPS) 2000
active User Interfaces
High Performance Distributed Computing (HPDC) 2000
ECho
Real-Time Applications and Systems (RTAS) 2001
Quality Events
High Performance Distributed Computing (HPDC) 2001
Mirroring, Filtering, XML
Supercomputing 2001
Path-based Filtering)
Demo
Differential Filtering
QoS: Source-based Filtering:
Achieving Desired QoS via Dynamic Code Generation
Source
F( )
Sink
F( )
Source
Filter Function:
2500 {
if ((data inside viewing area) and
(data values inside useful ranges)) {
return 1; /* submit into channel */ }
return 0; /* suppress data */
2000
1500
1000
500
Active Sink
Passive Sink
Multiple Ch
Single Ch
Atl <-> Mun