Linux Dionisys- A Kernel-Based Approach to QoS Management.ppt

1、Linux Dionisys: A Kernel-Based Approach to QoS Management,Richard West & Jason Gloudon Operating Systems & Services Group,Motivation,General purpose systems have limitations: Ill-equipped to meet service requirements of complex real-time applicationsAim to extend COTS systems to: better meet the ser

2、vice needs of applications provide finer-grained service management than at user-level adapt system behavior to compensate for changes in resource needs and availability,Approach,Linux Dionisys Distributed system for run-time service adaptation Allow real-time applications to specify: how, when & wh

3、ere actual service should be adapted to meet required / improved QoSMEDEA: Mechanism for Event DrivEn Adaptation SafeX: Safe kernel eXtensions,Example System Usage,Scalable web servers / farms Adaptive load-balancing, cachingAdaptable protocols For flow, error, rate control etcCoordinated resource m

4、anagement e.g., Tradeoffs in CPU versus bandwidth usage,Linux Dionisys Components,Service extensions: Service managers (SMs) Monitors - influence when to adapt Handlers - influence how to adapt MEDEA event channel subsystem Transport events between SMs, where adaptation is needed SafeX daemons Names

5、erver, library (API),Linux Dionisys Overview,Nameserver,Host 1,Host n,SM 3,User Level,Kernel Level,SM 1 (eg., CPU),SM m (eg., Buffer),SM 2 (eg., Network),Event Channels,Dionisys Library,Dionisys Library,RPCs,RPCs,MEDEA,Provides “event-channels” for communication One source (a monitor) Potentially ma

6、ny destinations (handlers) Events are asynchronous but may be cascaded Provides cross-host, cross-address-space & cross-protection-domain communication e.g., kernel upcalls Uses “mailbox” abstractions: One outbox for every monitor One inbox for every service manager,Decoupled Management & Delivery,M

7、EDEA provides an API for unrestricted event-driven communication,Handlers,Service Manager,Event Mailboxes,Event Dispatcher & Receiver,Monitors,MEDEA Features,Can batch or select single events for delivery Supports “fast” syscalls that do not block & real-time upcalls Coordinated user-level event del

8、ivery and handling Prioritized event delivery Can dispatch (receive) events from (into) mailboxes according to an ordering policy Real-time event delivery is possible,SafeX,Allows app-specific service extensions to be dynamically-linked into kernel address space Can deploy code on remote hostsProvid

9、es compile- and run-time support to: Enforce bounded execution of extensions Guarantee service isolation (using “guard” fns) Maintain system integrity,SafeX Features,Extensions written in Popcorn & compiled into Typed Assembly Language (TAL) Memory protection: Prevents forging pointers to arbitrary

10、addresses Prevents de-allocation of memory until safe CPU protection: Requires resource reservation for extensions Aborts extensions exceeding reservations Interfaces to synchronization objects,A Kernel Service Manager,Experimental Scenario,CPU service manager monitors CPU utilization and adapts pro

11、cess timeslices Timeslices adjusted by PID function of target & actual CPU usage Monitoring performed every 10mS Kernel monitoring functions invoked via timer queue User-level approach periodically reads /proc/pid/stat Adapts service via kill() syscalls,Monitors and Handlers,void monitor () actual_c

12、pu = get_attribute (“actual_cpu”);target_cpu = get_attribute (“target_cpu”);raise_event (“Error”, target_cpu - actual_cpu); void handler () en = ev.value; / nth sampled error/* Update timeslice adjustment by PID fn of error */un = (Kp+Kd+Ki).en - Kd.en-1 + un-1;set_attribute (“timeslice-adjustment”,

13、 un); ,Guard Functions,/ Check the QoS safe updates to a process timeslicedefault_timeslice = target_cpu;guard (attribute, value):if (attribute = “timeslice-adjustment”)if (value in range 0, 0.25*default_timeslice)if (value is QoS safe)timeslice = target_cpu + value;,CPU Service Management -1,3 CPU-

14、bound tasks w/ 30, 20 & 10% target CPU shares Less service oscillation in left graph for kernel service management Transient overloads do not affect service guarantees,CPU Service Management -2,3 MPEG processes with 40, 30 & 20% target CPU shares Finer-grained kernel service management is capable of

15、 sustaining 20% CPU utilization for 3rd process (left graph) User-level management (right graph) cannot meet needs of process with target 20% CPU utilization,Conclusions,Linux Dionisys supports service extensions to customize system for app-specific needs SafeX verifies safety of extensions Extensions may be dynamically-linked into local & remote address spaces MEDEA provides event-based communication mechanism that triggers service adaptationsOverall system improves service to applications,