Impact of Advanced Virtualization Technologies on Grid Computing Centers
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- Damian Pearson
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1 in Impact of Advanced Technologies on International Symposium on 2009 Stefan Freitag Robotics Research Institute Dortmund University of Technology 23. April 2009
2 Overview in 1 2 3
3 Introduction in Resource Application Platform Full Paravirtualized OS Level Network Storage Input/Output Figure: Types of
4 Network in VPN (Virtual Private Network) disjunct network partitions gateway service for tunneling WAN for interconnect GW GW LAN 2 LAN 1 FW WAN FW GW LAN 3 FW
5 Network in VLAN (Virtual Local Area Network) Layer 2 (data link layer) construct, IEEE 802.1Q standard Devices on different physical LAN segments Communication as if on same physical LAN segment (bcast domain) Configuration of VLAN through software Traffic shaping/ QoS... S3... S2. VLAN2.. S4... S1 VLAN1 LAN
6 Storage in decreasing storage costs ( GByte /$) increasing management complexity full SAN bandwidth for I/O requests separation of data and metadata into different places control unit: appliances or SAN switches Control a 1b Control
7 Platform in Full virtualized Environment guest unaware of virtualization, run native OS reduced performance because of hardware emulation Para virtualized Environment management module (hypervisor or virtual machine monitor) operates with modified operating system guest OS has much closer control of the underlying hardware (security, influence on other VMs) VM Management Application Guest OS Virtual Hardware Host OS X86 Hardware Application Guest OS Virtual Hardware Layer VM Management Host OS Application Guest OS (modified) Layer X86 Hardware Application Guest OS (modified)
8 Input/ Output (IOV) in Typical configuration: 4 to 6 I/O cards per server Ethernet Infiniband Fiber Channel add I/O virtualization capability to PCIe disaggreation consolidation virtualization Server NICs LAN /WAN PCIe HBAs SAN IOV Switch
9 Ethernet Switch Input/ Output (IOV) in I/O consolidation 100% of server connected to Ethernet, only 20% to FC FiberChannel over Ethernet (FCoE), pre-standard converged Network Adapter (C-NIC/ CNA) benefit for compute centers fewer adapters power savings cable management Server FCoE Switch LAN /WAN C NIC SAN
10 Present situation in Platform and storage virtualization in use server consolidation improved utilization of existing servers increased number of services per m 2 reducing TCO (maintenance,...) in the long-run high availability run legacy applications managing mass-storage backends migration of virtual machines is bound to restrictions storage network reconfiguration
11 LRMS level in Job = Virtual Machine share same operations (start, stop, suspend, checkpointing) Scenarios: user submits self-prepared virtual machine on-demand creation of virtual machine by LRMS VM description as part of job specification LRMS schedules jobs and/ or virtual machines Not so good: black-box execution performance loss (MPI) compared to non-virtualized solution
12 LRMS level in vnic (virtual Network Interface Card) vhba (virtual Host Bus Adapter) FC WWN used to identify to segregate devices for access control Virtualized environments: adapter s WWN represents all DomUs (Xen) DomU migrates to new server, but WWN does not zoning and LUN masking (access control) ineffective vhba gets own WWN which migrates with VM
13 Level in Benefits provide uniform environment to users rapid on-demand provisioning of nodes non-interfering execution of multiple middlewares decoupling of knowledge (grid operator/ grid user) job exchange, e.g. inter cluster/ resources
14 Level in Drawback resources run different virtualization software Xen, KVM, VMware,... creation of user environment for each resource
15 Virtual Appliances in encapsulate user environment in a virtual appliance virtual appliance = virtual machine + operating system + application level software + MD5 Job = virtual machine virtual appliance virtual appliance is already technology-dependent :-( better approach step 1: create operating system + application level software + MD5 step 2: make it technology-dependent
16 KIWI in idea: prepare once, run anywhere distribution independent, currently only SuSE supported centralized image description based on XML output formats: xen, vmware, Amazon EC 2, iso,... adoption to Scientific Linux ongoing in Dortmund additional software packages Image description Unpacked Image access via chroot Packed Image access via loop ready 2 serve Figure: from: KIWI Cookbook
17 & Outlook in Outlook platform and storage virtualization widely spread increased flexibility with I/O virtualization/ FCoE s profit at LRMS and layer from virtualization on-demand provisioning of virtual appliances resource provides bare metal + virtualization layer provision of resources to more than one infrastructure/ VO
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