Server Computing - from Hardware and Operating System to Middleware, Applications and Processes

Transcription

1 1 Server Computing - from Hardware and Operating System to Middleware, Applications and Processes Prof. Dr. Andreas Polze Hasso Plattner Institute for Software Engineering at University Potsdam andreas.polze@hpi.uni-potsdam.de Server Computing Summit, April 7-11, 2008

2 The Shifting Paradigm 2 Mainframes PC s Service Grids OS/360, OS/390, zos: RACF, JES2, licensing PC1 Cluster OpenVMS: clustering, failover, versioning file system PC2 PC3 SuperDome Hardware Software Middleware IBM Microsoft??? closed closed open standards, proprietary proprietary WebServices

3 3 Computer Classification

4 4 MIMD lives on

5 5 More Complications...

6 Long retired... 6 Sequent Symmetry

7 Intel Paragon 7 Milestone in Computer Architecture Each node runs one OS instance (Mach)

8 Servers have evolved... 8 New form factors Higher density Standard architectures (x64, Itanium) Multicore/multithreaded arch Advances in operating systems Virtualization Thrustworthiness/security Clustering Need for new programming model, Software Architectures, Services

9 9 Some problems remain...

10 Green IT 10 Server consolidation will lead to better energy efficiency

11 Our research: Operating System Foundations for Service Computing 11 Adaptive Services Grid (ASG) European Integration project (FP6/IST/ , ASG, Proposal No ) Research Projects based on the Windows Research Kernel Service computing will abstract away servers, CPUs, cores - but OS still has to get the resource management right

12 12 Service Provider Register Service Requester Request App Registry S1 S2 S3 Issues and Challenges Service Composition * S1* Zur Anzeige wird der QuickTime Dekompressor TIFF (LZW) benötigt. S1 S2 S3 Execution Environment for workflow engine, deployment? Reply App Adaptive Process Management Interfaces metadata versioning Integration of External Grid resources Web Services + metadata SOA + adapters S1 S2 S2 S2 Grid Services Infrastructure S3 FT, billing, QoS enforcement

13 Service Computing Architecture 13

14 Unified Monitoring Data Model 14 Service reachable, but broken (source: Laprie) Service not reachable (source: WSLA) Finished requests / uptime (source: WSQM) Service Resource Request package enters platform (source: WSQM) Time for EJB / Handler processing (source: JSR-77)

15 Service-Oriented Computing 15 Due to virtualization and server consolidation, services will eventually end up on same machine

16 16 Scheduling Server - Concept

17 Scheduling Server - Evaluation 17 Linpack benchmark Assignment of different CPU fractions, measuring real share Pentium 4, (2.66 GHz, 768 Mbyte RAM) 150 experiments on each CPU level (four weeks of testing)

18 Windows Research Kernel Instrumentation 18 Instrument the kernel to trace execution flows Ellipses denote thread objects and contain the process and the thread identifier in that order. A yellow rectangle denotes waitable kernel object semaphores or mutexes, etc. Type and address of the waitable kernel object is shown Directed edge from thread A to object B denotes that A waits on B. The weight on this edge indicates the number of times a thread waited on this object.

19 Phoenix and the WRK 19 We use Phoenix to develop enhanced analysis tools that instrument certain aspects of the kernel. Phoenix now offers the opportunity to instrument an existing unmodified Windows kernel by modifying the PE file of the kernel. Insights resulting from the WRK can therefore be brought to COTS versions of the Windows kernel.

20 20

21 21 Windows Research Kernel (WRK)

22 Successful Cooperation 22 EU projects Adaptive Services Grid Leonardo Da Vinci Deutsche Post IT-Solutions AOP Embedded systems Microsoft / Microsoft Research Micro.NET, Phoenix Windows Research Kernel Curriculum Research Kit Hewlett-Packard Server Computing Summit Bachelor projects DaimlerChrysler Research Siemens AG, Beckhoff Software AG

23 23 The Operating Systems and Middleware Group in Action

24 Server Computing Summit Agenda / Organisatorisches 24 Vorträge 3x 90min, Hörsaal 1 Äquivalent zu 2 SWS VL, 3 ECTS Punkte Gelistet im Curriculum HPI, UP, TUB, FUB, HUB Labs 3x 90min, Pool-Räume, HPI 20 min Quizzes (40%) Hands-on Labs (60%) Benotung Registrierung am Info-Stand in der 1. Kaffeepause Abgabe der Quizzes / Lab-Solutions am Di/Mi/Do (phys. Anwesenheit in allen Labs nötig) Ausgabe unbenoteter Scheine am Fr, 13:30 Ausgabe benoteter Scheine bis Ende April (Post) Mittagessen in der Mensa, Social Events am Mo, Di, Do

25 Dank 25 Microsoft: Dr. Said Zahedani, Martina Greff, Matej Ciesko, Henrike Röse Arkady Retik, Alexander Brändle Hewlett-Packard: Robert Sakic, Christian Schütz HPI: Bernhard Rabe, Alexander Schmidt, Michael Schöbel, Sabine Wagner