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Global Overlay Network : PlanetLab Claudio E.Righetti October, 2006 (some slides taken from Larry Peterson) • • • “PlanetLab: An Overlay Testbed for Broad-Coverage Services “ Bavier, Bowman, Chun, Culler, Peterson, Roscoe, Wawrzoniak . ACM SIGCOMM Computer Communications Review . Volume 33 Number 3 : July 2003 “ Overcoming the Internet Impasse through Virtualization “ Anderson , Peterson , Shenker , Turner . IEEE Computer. April 2005 “Towards a Comprehensive PlanetLab Architecture”, Larry Peterson, Andy Bavier, Marc Fiuczynski, Steve Muir, and Timothy Roscoe, June 2005 http://www.planet-lab.org/PDN/PDN-05-030 Overview 1. 2. What is PlanetLab? Architecture 1. 2. 3. Local: Nodes Global: Network Details 1. 2. Virtual Machines Maintenance What Is PlanetLab? • Geographically distributed overlay network • Testbed for broad-coverage network services PlanetLab Goal “…to support seamless migration of an application from an early prototype, through multiple design iterations, to a popular service that continues to evolve.” PlanetLab Goal “…support distributed virtualization – allocating a widely distributed set of virtual machines to a user or application, with the goal of supporting broadcoverage services that benefit from having multiple points-of-presence on the network. This is exactly the purpose the PlanetLab slice abstraction .” Slices Slices Slices User Opt-in Client NAT Server Challenge of PlanetLab “ The central of challenge PlanetLab is ti provide decentralized control of distributed virtualization.” Long-Running Services • Content Distribution – CoDeeN: Princeton – Coral: NYU – Cobweb: Cornell • Storage & Large File Transfer – LOCI: Tennessee – CoBlitz: Princeton • Anomaly Detection & Fault Diagnosis – PIER: Berkeley, Intel – PlanetSeer: Princeton • DHT – Bamboo (OpenDHT): Berkeley, Intel – Chord (DHash): MIT Services (cont) • Routing / Mobile Access – i3: Berkeley – DHARMA: UIUC – VINI: Princeton • DNS – CoDNS: Princeton – CoDoNs: Cornell • Multicast – End System Multicast: CMU – Tmesh: Michigan • Anycast / Location Service – Meridian: Cornell – Oasis: NYU Services (cont) • Internet Measurement – ScriptRoute: Washington, Maryland • Pub-Sub – Corona: Cornell • Email – ePost: Rice • Management Services – – – – – – Stork (environment service): Arizona Emulab (provisioning service): Utah Sirius (brokerage service): Georgia CoMon (monitoring service): Princeton PlanetFlow (auditing service): Princeton SWORD (discovery service): Berkeley, UCSD PlanetLab Today www.planet-lab.org PlanetLab Today • Global distributed systems infrastructure – platform for long-running services – testbed for network experiments • 583 nodes around the world – 30 countries – 250+ institutions (universities, research labs, gov’t) • Standard PC servers – 150–200 users per server – 30–40 active per hour, 5–10 at any given time – memory, CPU both heavily over-utilised Usage Stats • • • • • Slices: 600+ Users: 2500+ Bytes-per-day: 3 - 4 TB IP-flows-per-day: 190M Unique IP-addrs-per-day: 1M Priorities • Diversity of Network – Geographic – Links • Edge-sites, co-location and routing centers, homes (DSL, cable-modem) • Flexibility – Allow experimenters maximal control over PlanetLab nodes – Securely and fairly Key Architectural Ideas • Distributed virtualization – slice = set of virtual machines • Unbundled management – infrastructure services run in their own slice • Chain of responsibility – account for behavior of third-party software – manage trust relationships Architecture Overview • Slice : horizontal cut of global PlanetLab resources • Service : set of distributed and cooperating programs delivering some higher-level functionality • Each service runs in a slice of PlanetLab’s global resources • Multiple slices run concurrently “ … slices act network-wide containers that isolate services from each other. “ Architecture Overview (main principals) • Owner: is an organization that hosts ( owns ) one or more PlanetLab nodes • User : is a researcher that deploys a service on a set of PL nodes • PlanetLab Consortium (PLC) : trusted intermediary that manages nodes on behalf a set owners, and creates sliceson those nodes on behalf of a set of users Trust Relationships Princeton Berkeley Washington MIT Brown CMU NYU EPFL Harvard HP Labs Intel NEC Labs Purdue UCSD SICS Cambridge Cornell … Trusted Intermediary NxN (PLC) princeton_codeen nyu_d cornell_beehive att_mcash cmu_esm harvard_ice hplabs_donutlab idsl_psepr irb_phi paris6_landmarks mit_dht mcgill_card huji_ender arizona_stork ucb_bamboo ucsd_share umd_scriptroute … Trust Relationships (cont) 2 4 Node Owner PLC 3 1 Service Developer (User) 1) PLC expresses trust in a user by issuing it credentials to access a slice 2) Users trust PLC to create slices on their behalf and inspect credentials 3) Owner trusts PLC to vet users and map network activity to right user 4) PLC trusts owner to keep nodes physically secure Principals ( PLC = MA + SA ) • Node Owners – host one or more nodes (retain ultimate control) – selects an MA and approves of one or more SAs • Service Providers (Developers) – implements and deploys network services – responsible for the service’s behavior • Management Authority (MA) – installs an maintains software on nodes – creates VMs and monitors their behavior • Slice Authority (SA) – registers service providers – creates slices and binds them to responsible provider Trust Relationships ( PLC decoupling) (1) Owner trusts MA to map network activity to responsible slice MA (2) Owner trusts SA to map slice to responsible providers 6 1 (3) Provider trusts SA to create VMs on its behalf 4 Owner Provider 2 (4) Provider trusts MA to provide working VMs & not falsely accuse it (5) SA trusts provider to deploy responsible services 3 5 (6) MA trusts owner to keep nodes physically secure SA SA is analogous to a virtual organization Architectural Elements MA Node Owner slice database Owner VM NM + VMM SCS VM SA node database Service Provider Services Run in Slices PlanetLab Nodes Services Run in Slices PlanetLab Nodes Virtual Machines Service / Slice A Services Run in Slices PlanetLab Nodes Virtual Machines Service / Slice A Service / Slice B Services Run in Slices PlanetLab Nodes Virtual Machines Service / Slice A Service / Slice B Service / Slice C “… to view slice as a network of Virtual Machines, with a set of local resources bound to each VM .” Architectural Components • • • • • • • • • • Node Virtual Machine (VM) Node Manager (NM) Slice Slice Creation Service (SCS) Auditing Service (AS) Slice Authority (SA) Management Authority (MA) Owner Script Resource Specification (Rspec) Per-Node View Node Mgr Local Admin VM1 VM2 … VMn Virtual Machine Monitor (VMM) Node Architecture Goals • Provide a virtual machine for each service running on a node • Isolate virtual machines • Allow maximal control over virtual machines • Fair allocation of resources – Network, CPU, memory, disk Global View … PLC … … Node Machine capable of hosting one or more VM • Unique node_id ( is bound set of attributes ) • Must have at least one non shared IP address Virtual Machine ( VM) Execution environment in which slice runs on a particular node. VMs are tipically implemented by Virtual Machine Monitor (VMM). • Multiple VMs run on each PlanetLab node • VMM arbitrates the nodes’s resources among them • VM is speficied by a set of attributes ( resource specification , RSpec) • RSpec defines how much of the node’s resources are allocated to the VM ; it also specifices the VM’s type Virtual Machine ( cont) • PlanetLab currently supports a single Linux-based VMM • Defines a single the VM’s type (linux-vserver-x86) • Most important properties today is that VMs are homogeneous Node Manager (NM) Program running on each node that creates VMs on that node, and controls the resources allocated to those VMs • All operations that manipulate VMs on a node are made through the NM • Provides an interface by which infraestructure services running on the node create VMs and bind the resources them Slice Set of VMs , with each element of the set running on a unique node • The individual VMs that make up a slice contain no information about the other VMs in the set, except as managed by the service running in the slice • Are uniquely identified by name • Interpretation depends on the context ( is no single name resolution service) • Slices names are hierarchical • Each level denoting the slice authority Slice Creation Service (SCS) SCS is a an infrastructure service running on each node • Typically responsible , on behalf of PLC , for creation of the local instantiation of a slice , which it accomplishes by calling the local NM to create a VM on the node • Users may also contact the SCS directly if they wish to synchronously create a slice on a particular node • To do so the user presents a cryptographically-signed ticket ( essentially RPsec’s ) Auditing Service (AS) PLC audits behaovir of slices , and to aida in this process, each node runs an AS. The AS records information about packet transmitted from the node , and is responsible for mapping network activity to the slice generates it. • Trustworthy audit chain : packet signature--> slice name --> users • packet signature ( # source, # destination , time) • AS offers a public, web-based interface on each node Slice Authority (SA) PLC, acting as a SA, maintains state for the set of system-wide slices for which it is responsible • There may be multiple SA but this section focuses on the one managed by PLC. • SA to refer to both the principal and the server that implements it Management Authority (MA) Owner Script Resource Specification (Rspec) PlanetLab’s design philosophy • Application Programming Interface used by tipical services • Protection Interface implemented by the VMM PlanetLab node virtualization mechanisms are characterized by the these two interfaces are drawn PlanetLab Architecture • Node-level – Several virtual machines on each node, each running a different service • Resources distributed fairly • Services are isolated from each other • Network-level – Node managers, agents, brokers, and service managers provide interface and maintain PlanetLab One Extreme: Software Runtimes (e.g., Java Virtual Machine, MS CLR) • Very High level API • Depend on OS to provide protection and resource allocation • Not flexible Other Extreme: Complete Virtual Machine (e.g., VMware) • Very Low level API (hardware) – Maximum flexibility • Excellent protection • High CPU/Memory overhead – Cannot share common resources among virtual machines • OS, common filesystem • High-end commercial server , 10s VM Mainstream Operating System • API and protection at same level (system calls) • Simple implementation (e.g., Slice = process group) • Efficient use of resources (shared memory, common OS) • Bad protection and isolation • Maximum Control and Security? PlanetLab Virtualization: VServers • Kernel patch to mainstream OS (Linux) • Gives appearance of separate kernel for each virtual machine – Root privileges restricted to activities that do not affect other vservers • Some modification: resource control (e.g., File handles, port numbers) and protection facilities added Node Software • Linux Fedora Core 2 – kernel being upgraded to FC4 – always up-to-date with security-related patches • VServer patches provide security – each user gets own VM (‘slice’) – limited root capabilities • CKRM/VServer patches provide resource mgmt – – – – proportional share CPU scheduling hierarchical token bucket controls network Tx bandwidth physical memory limits disk quotas Issues • Multiple VM Types – Linux vservers, Xen domains • Federation – EU, Japan, China • Resource Allocation – Policy, markets • Infrastructure Services – Delegation Need to define the PlanetLab Architecture Narrow Waist • Name space for slices < slice_authority, slice_name > • Node Manager Interface rspec = < vm_type = linux_vserver, cpu_share = 32, mem_limit - 128MB, disk_quota = 5GB, base_rate = 1Kbps, burst_rate = 100Mbps, sustained_rate = 1.5Mbps > Node Boot/Install Process Node Boot Manager PLC Boot Server 1. Boots from BootCD (Linux loaded) 2. Hardware initialized 3. Read network config . from floppy 4. Contact PLC (MA) 6. Execute boot mgr 5. Send boot manager 7. Node key read into memory from floppy 8. Invoke Boot API 9. Verify node key, send current node state 10. State = “install”, run installer 11. Update node state via Boot API 13. Chain-boot node (no restart) 14. Node booted 12. Verify node key, change state to “boot” PlanetFlow • Logs every outbound IP flow on every node – accesses ulogd via Proper – retrieves packet headers, timestamps, context ids (batched) – used to audit traffic • Aggregated and archived at PLC Chain of Responsibility Join Request PI submits Consortium paperwork and requests to join PI Activated PLC verifies PI, activates account, enables site (logged) User Activated Users create accounts with keys, PI activates accounts (logged) Slice Created PI creates slice and assigns users to it (logged) Nodes Added to Slices Slice Traffic Logged Traffic Logs Centrally Stored Users add nodes to their slice (logged) Experiments run on nodes and generate traffic (logged by Netflow) PLC periodically pulls traffic logs from nodes Network Activity Slice Responsible Users & PI Slice Creation . . . PI SliceCreate( ) SliceUsersAdd( ) User SliceNodesAdd( ) SliceAttributeSet( ) SliceInstantiate( ) PLC (SA) SliceGetAll( ) slices.xml NM VM VM … VM VMM . . . Slice Creation PI SliverCreate(ticket) SliceCreate( ) SliceUsersAdd( ) User . . . PLC (SA) NM VM VM … VM SliceAttributeSet( ) SliceGetTicket( ) VMM . . . (distribute ticket to slice creation service) Brokerage Service . . . PI rcap = PoolCreate(ticket) SliceCreate( ) SliceUsersAdd( ) Broker PLC (SA) NM VM VM … VM SliceAttributeSet( ) SliceGetTicket( ) VMM . . . (distribute ticket to brokerage service) Brokerage Service (cont) . . . PoolSplit(rcap, slice, rspec) PLC (SA) User BuyResources( ) NM VM VM VM … VM VMM Broker . . . (broker contacts relevant nodes) VIRTUAL MACHINES PlanetLab Virtual Machines: VServers • Extend the idea of chroot(2) – – – – New vserver created by system call Descendent processes inherit vserver Unique filesystem, SYSV IPC, UID/GID space Limited root privilege • Can’t control host node – Irreversible Scalability • Reduce disk footprint using copy-on-write – Immutable flag provides file-level CoW – Vservers share 508MB basic filesystem • Each additional vserver takes 29MB • Increase limits on kernel resources (e.g., file descriptors) – Is the kernel designed to handle this? (inefficient data structures?) Protected Raw Sockets • Services may need low-level network access – Cannot allow them access to other services’ packets • Provide “protected” raw sockets – TCP/UDP bound to local port – Incoming packets delivered only to service with corresponding port registered – Outgoing packets scanned to prevent spoofing • ICMP also supported – 16-bit identifier placed in ICMP header Resource Limits • Node-wide cap on outgoing network bandwidth – Protect the world from PlanetLab services • Isolation between vservers: two approaches – Fairness: each of N vservers gets 1/N of the resources during contention – Guarantees: each slice reserves certain amount of resources (e.g., 1Mbps bandwidth, 10Mcps CPU) • Left-over resources distributed fairly Linux and CPU Resource Management • The scheduler in Linux provides fairness by process, not by vserver – Vserver with many processes hogs CPU • No current way for scheduler to provide guaranteed slices of CPU time MANAGEMENT SERVICES PlanetLab Network Management 1. PlanetLab Nodes boot a small Linux OS from CD, run on RAM disk Contacts a bootserver Bootserver sends a (signed) startup script 2. 3. • • • • Boot normally or Write new filesystem or Start sshd for remote PlanetLab Admin login Nodes can be remotely power-cycled Dynamic Slice Creation 1. 2. 3. Node Manager verifies tickets from service manager Creates a new vserver Creates an account on the node and on the vserver User Logs in to PlanetLab Node • /bin/vsh immediately: 1. 2. 3. 4. – Switches to the account’s associated vserver Chroot()s to the associated root directory Relinquishes true root privileges Switch UID/GID to account on vserver Transition to vserver is transparent: it appears the user just logged into the PlanetLab node directly PlanetLab - Globus