1. Naming Chapter 4

2. Naming Names are used to share resources, to uniquely identify entities, or to refer to locations. Name resolution is used for a process to access the named entity. Three issues are covered in this chapter: –Naming entities: the organization and implementation of human-friendly names –Locating mobile entities –Removing unreferenced entities

3. Naming A name in a distributed system is a string of bits or characters that is used to refer to an entity. An entity in a distributed system can be practically anything including resources, processes, users, mailboxes, newsgroups, Web pages, and so on. To operate on an entity, we need to access it at an access point. The name of an access point is called an address. The address of an access point of an entity is the address of that entity. A location­independent name for an entity E, is independent from the addresses of the access points offered by E. For example, www.yahoo.com has service across several machines.www.yahoo.com

4. Naming A true identifier is a name having the following properties: –Each identifier refers to at most one entity –Each entity is referred to by at most one identifier –An identifier always refers to the same entity (prohibits reusing an identifier) In many computer systems, addresses and identifiers are represented in machine-readable form only. Human-friendly names are tailored to be used by humans and generally represented as a character string.

5. Name Space Names in a distributed system are organized into a name space. A name space can be represented as a labeled, directed graph with two types of nodes: –a leaf node represents a (named) entity –a directory node is an entity that refers to other nodes. A directory node contains a directory table of (edge label, node identifier) pairs. Example: (‘home’, n1), (‘keys’, n5)

6. Name Space A node which has only outgoing and no incoming edges is called the root (node). Each path in a naming graph can be referred to by the sequence of labels corresponding to the edges in the path, such as N: where N refers to the first node in the path. If the first node in a path name is the root of the naming graph, it is called an absolute path name. Otherwise, it is called a relative path name.

7. Name Space A global name is a name that denotes the same entity no matter where that name is used in a system. (e.g. absolute path) A local name is a name whose interpretation depends on where that name is being used. (e.g. relative path) Example of path names in file systems (Refer to Figure 4-1) –N0:  /home/steen/mbox –/home/steen/keys = /keys (The same node represented by different path names.) Name space can be organized in various ways: a tree or a acyclic graph.

8. Name Spaces A general naming graph with a single root node.

9. Name Space We can easily store all kinds of attributes in a node, describing aspects of the entity the node represents: –Type of the entity –An identifier for that entity –Address of the entity's location –Nicknames Directory nodes can also have attributes, besides just storing a directory table with (edge label, node identifier) pairs.

10. Name Spaces The general organization of the UNIX file system implementation on a logical disk of contiguous disk blocks. –Boot block: loaded when system is booted. –Super block: information on the entire file system –Inode: information on the location of the data of its associated file –Disk block: file data blocks

11. Name Resolution The process of looking up a name is called name resolution. Problem: To resolve a name we need a directory node. How do we actually find that (initial) node? Knowing how and where to start name resolution is called closure mechanism. The mechanism –selects the implicit context from which to start name resolution. –determine how name resolution should proceed. Examples: –www.cs.twsu.edu: start at a DNS name serverwww.cs.twsu.edu –/home/john/box: start at the local NFS file server (possible recursive search) –316-978-3156: dial a phone number –156.26.1.30: route to the WSU Web server

12. Naming Linking and Mounting An alias is another name for the same entity. The hard link approach is to allow multiple absolute paths names to refer to the same node in a naming graph. The symbolic link approach uses the leaf node to store an entity path. Name resolution can also be used to merge different name spaces. Mounting is an example (one way) of merging different name spaces.

13. Linking and Mounting The concept of a symbolic link explained in a naming graph.

14. Merging Name Spaces Mount point is a (Directory) node storing the node identifier. Mounting point is a (Directory) node in the foreign name space. For example, To mount a foreign name space in a distributed system requires the following information: –The name of an access protocol –The name of the server –The name of the mounting point in the foreign name space Example: mount nfs://flits.cs.vu.nl//home/steen /remote/vu –nfs://flits.cs.vu.nl//home/steen is the mounting point. –/remote/vu is the mout point.

15. Linking and Mounting Mounting remote name spaces through a specific process protocol.

16. Merging Name Spaces We have different name spaces that we wish to access from any given name space. –Solution 1: Introduce a naming scheme by which pathnames of different name spaces are simply concatenated (URLs). –Solution 2: Introduce (specific) nodes that contain the name of a node in a foreign name space, along with the information how to select the initial context in that foreign name space (Jade). –Solution 3: Use only full pathnames, in which the starting context is explicitly identified, and merge by adding a new root node (DEC's Global Name Space). n0:/home/stten/keys, m0:/home/steen

17. Linking and Mounting Organization of the DEC Global Name Service

18. Name Space Implementation A name space forms the heart of a naming service. A naming service is implemented by name server. In distributed systems, it is necessary to distribute the name resolution process as well as name space management across multiple machines, by distributing nodes of the naming graph. Consider a hierarchical naming graph and distinguish three levels: –Global level: Consists of the high­level directory nodes. Main aspect is that these directory nodes have to be jointly managed by different administrations –Administrational level: Contains mid­level directory nodes that can be grouped in such a way that each group can be assigned to a separate administration. –Managerial level: Consists of low­level directory nodes within a single administration. Main issue is effectively mapping directory nodes to local name servers.

19. Name Space Distribution An example partitioning of the DNS name space, including Internet-accessible files, into three layers.

20. Name Space Distribution A comparison between name servers for implementing nodes from a large-scale name space partitioned into a global layer, an administrational layer, and a managerial layer. Name servers in the global and administrational layer are the most difficult to implement because of replication and caching. ItemGlobalAdministrationalManagerial Geographical scale of networkWorldwideOrganizationDepartment Total number of nodesFewManyVast numbers Responsiveness to lookupsSecondsMillisecondsImmediate Update propagationLazyImmediate Number of replicasManyNone or fewNone Is client-side caching applied?Yes Sometimes

21. Implementation of Name Resolution Each client has access to a local name resolver, which is responsible for ensuring that the name resolution process is carried out. There are two ways to implement name resolution: –In iterative name resolution, a name resolver hands over the complete name to the root name server, returning each intermediate result back to the client’s name resolver. –In recursive name resolution, a name server passes the result to the next name server it finds.

22. Implementation of Name Resolution The principle of iterative name resolution.

23. Implementation of Name Resolution The principle of recursive name resolution.

24. Implementation of Name Resolution Recursive name resolution –Drawback: it demands high performance on each name server. –Advantages: Caching results is more effective. Communication cost is reduced. One of the largest distributed naming services is the Internet Domain Name System (DNS).

25. Implementation of Name Resolution Recursive name resolution of. Name servers cache intermediate results for subsequent lookups. Server for node Should resolve Looks up Passes to child Receives and caches Returns to requester cs # -- # vu # # # # ni # # # # # # root # # # # # # # #

26. Implementation of Name Resolution The comparison between recursive and iterative name resolution with respect to communication costs.

27. The DNS Name Space The DNS name space is hierarchically organized as a rooted tree. The string representation of a path name consists of listing its labels, starting with the rightmost one, and separating the labels by a dot. For example, www.cs.twsu.edu., which includes the rightmost dot to indicate the root node.www.cs.twsu.edu The label attached to a node’s incoming edge is used as the name for that node. A subtree is a called a domain; a path name to its root node is called a domain name. The contents of a node is formed by a collection of resource records. Different types of resource records are shown in Figure 4-12. DNS distinguishes aliases from what are called canonical names or primary name

28. The DNS Name Space The most important types of resource records forming the contents of nodes in the DNS name space. Type of record Associated entity Description SOAZoneHolds information on the represented zone AHostContains an IP address of the host this node represents MXDomainRefers to a mail server to handle mail addressed to this node SRVDomainRefers to a server handling a specific service NSZoneRefers to a name server that implements the represented zone CNAMENodeSymbolic link with the primary name of the represented node PTRHostContains the canonical name of a host HINFOHostHolds information on the host this node represents TXTAny kindContains any entity-specific information considered useful

29. DNS Implementation The DNS name space can be divided into a global layer and administrational layer. Secondary name servers do not access the database directly but request the primary server to transfer its content. The latter is called a zone transfer in DNS terminology. A DNS database is implemented as a small collection of files. DNS is comparable to a telephone book for looking up phone numbers.

30. DNS Implementation An excerpt from the DNS database for the zone cs.vu.nl.

31. DNS Implementation Part of the description for the vu.nl domain which contains the cs.vu.nl domain. NameRecord typeRecord value cs.vu.nlNISsolo.cs.vu.nl A130.37.21.1

32. X.500 X.500 Directory Service is a standard way to develop an electronic directory so that it can be part of a global directory available with Internet access. The idea is to be able to look up people in a user- friendly way by name, department, or organization. It is similar to use the yellow pages. Because these directories are organized as part of a single global directory, you can search for hundreds of thousands of entries from a single place on the World Wide Web.

33. X.500 An X.500 directory service consists of a number of records, usually referred to as directory entries. The collection of all directory entries in an X.500 directory service is called a Directory Information Base (DIB). Each record is uniquely named. Each naming attribute is called a Relative Distinguished Name (RDN). Calling read will return a directory entry. Calling list will return a list of entries.

34. The X.500 Name Space A simple example of a X.500 directory entry using X.500 naming conventions. AttributeAbbr.Value CountryCNL LocalityLAmsterdam OrganizationLVrije Universiteit OrganizationalUnitOUMath. & Comp. Sc. CommonNameCNMain server Mail_Servers--130.37.24.6, 192.31.231,192.31.231.66 FTP_Server--130.37.21.11 WWW_Server--130.37.21.11

35. The X.500 Name Space Part of the directory information tree.

36. The X.500 Name Space Two directory entries having Host_Name as RDN. AttributeValueAttributeValue CountryNLCountryNL LocalityAmsterdamLocalityAmsterdam OrganizationVrije UniversiteitOrganizationVrije Universiteit OrganizationalUnitMath. & Comp. Sc.OrganizationalUnit Math. & Comp. Sc. CommonNameMain serverCommonNameMain server Host_NamestarHost_Namezephyr Host_Address192.31.231.42Host_Address192.31.231.66

37. X.500 Implementation In X.500, each local directory is called a Directory System Agent (DSA). A DSA can represent one organization or a group of organizations. The DSAs are interconnected from the Directory Information Tree (DIT). The user interface program for access to one or more DSAs is a Directory User Agent (DUA). DUAs include whois, finger, and programs that offer a graphical user interface. X.500 is implemented as part of the Distributed Computing Environment (DCE) in its Global Directory Service (GDS). The Lightweight Directory Access Protocol (LDAP) is a simplified protocol to accommodate X.500 directory services in the Internet.

38. X.500 Implementation Providing an X.500 directory allows an organization to make itself and selected members known on the Internet. Two of the largest directory service providers are InterNIC, the organization that supervises domain name registration in the U.S., and ESnet, which maintains X.500 data for all the U.S. national laboratories. InterNIC ESNet and similar providers also provide access to looking up names in the global directory, using a number of different user interfaces including designated Web sites, whois, and finger. These organizations also provide assistance to organizations that are creating their own Directory Information Tree (DIT).

39. Naming & Locating Objects Observation: If a traditional naming service is used to locate entities, we also have to assume that node contents at the managerial level is stable, as we can use only names as identifiers (think of Web pages). Problem: It is not realistic to assume stable node contents down to the local naming level Solution: Decouple naming from locating entities Location service: –Solely aimed at providing the addresses of the current locations of entities. –Assumption: Entities are mobile, so that their current address may change frequently.

40. Naming & Locating Objects Naming service: –Aimed at providing the content of nodes in a name space, given a (compound) name. Content consists of different (attribute,value) pairs. –Assumption: Node contents at global and administrational level is relatively stable for scalability reasons. Two-level mapping is used to local mobile objects: –Name: Any name in a traditional naming space –Entity ID: A true identifier –Address: Provides all information necessary to contact an entity –Observation: An entity's name is now completely independent from its location.

41. Naming & Locating Objects Observation: If a traditional naming service is used to locate entities, we also have to assume that node contents at the managerial level is stable, as we can use only names as identifiers (think of Web pages). Problem: It is not realistic to assume stable node contents down to the local naming level Solution: Decouple naming from locating entities

42. Naming versus Locating Entities a)Direct, single level mapping between names and addresses. b)T-level mapping using identities.

43. Simple Solutions for Locating Entities Broadcasting: Simply broadcast the ID, requesting the entity to return its current address. –Can never scale beyond local­area networks (think of ARP/RARP) –Requires all processes to listen to incoming location requests One possible solution is to switch multicasting. Forwarding pointers: Each time an entity moves, it leaves behind a pointer telling where it has gone to. –Referencing can be made entirely transparent to clients by simply following the chain of pointers –Update a client's reference as soon as present location has been found –Geographical scalability problems: Long chains are not fault tolerant Increased network latency

44. Forwarding Pointers The principle of forwarding pointers using (proxy, skeleton) pairs.

45. Forwarding Pointers Redirecting a forwarding pointer, by storing a shortcut in a proxy.

46. Home­Based Approaches The use of broadcasting or multicasting is difficult to implement. Long chains of forwarding pointers introduce performance problems and are susceptible to broken link. A popular approach to supporting mobile entities in large-scale networks is to introduce a home location, which keeps track of the current location of an entity. Single­tiered scheme: Let a home keep track of where the entity is: –An entity's home address is registered at a naming service –The home registers the foreign address (care-of-address) of the entity –Clients always contact the home first, and then continues with the foreign location

47. Home­Based Approaches Problems with home­based approaches: –The home address has to be supported as long as the entity lives. –The home address is fixed, which means an unnecessary burden when the entity permanently moves to another location –Poor geographical scalability (the entity may be next to the client) Possible solution to home-based approaches: Two­ tiered scheme (similar to mobile telephony): –Check local visitor registry first –Fall back to home location if local lookup fails

48. Home-Based Approaches The principle of Mobile IP.

49. Hierarchical Location Services The two-tiered home-based approach can be generalized to multiple layers. A network is divided into a collection of domains. Each domain can be subdivided into multiple subdomain. A lowest-level domain, called a leaf domain. Each domain has an associated directory node that keeps track of the entities in that domain. HLS (Hierarchical Location Services): –Each entity in a domain is represented by a location record in that directory node. –The address of an entity is stored in a leaf node. –Intermediate nodes contain a pointer to a child if and only if the subtree rooted at the child stores an address of the entity –The root knows about all entities

50. Hierarchical Approaches Hierarchical organization of a location service into domains, each having an associated directory node.

51. Hierarchical Approaches An example of storing information of an entity having two addresses in different leaf domains.

52. Hierarchical Location Services Basic principles: –Start lookup at local leaf node –If node knows about the entity, follow downward pointer, otherwise go one level up –Upward lookup always stops at the node that stores a location record for the entity If a mobile entity moves regularly within a domain, it is effective to cache a reference to the directory node. In this case, it makes sense to start a lookup at that directory node. This approach is referred as a pointer caching.

53. Hierarchical Approaches Looking up a location in a hierarchically organized location service.

54. Hierarchical Approaches a)An insert request is forwarded to the first node that knows about entity E. b)A chain of forwarding pointers to the leaf node is created.

55. Pointer Caching Example: If an entity E moves regularly between leaf domains D 1 and D 2, it may be more efficient to store E 's contact record at the least common ancestor –Lookup operations from either D 1 or D 2 are on average cheaper –Update operations (i.e., changing the current address) can be done directly at –Note: assuming that E generally stays in it does make sense to cache a pointer to

56. Pointer Caches Caching a reference to a directory node of the lowest-level domain in which an entity will reside most of the time.

57. Pointer Caches A cache entry that needs to be invalidated because it returns a nonlocal address, while such an address is available.

58. Scalability Issues Storing a location record for each entity is not a problem. The problem is we need to ensure that servers can handle a large number of requests per time unit high­level servers are in big trouble. Solution: Assume at least at global and administrational level) that content of nodes hardly ever changes. In that case, we can apply extensive replication by mapping nodes to multiple servers, and start name resolution at the nearest server. Observation: An important attribute of many nodes is the address where the represented entity can be contacted. Replicating nodes makes large­scale traditional name servers unsuitable for locating mobile entities.

59. HLS: Scalability Issues Size scalability: Again, we have a problem of over­ loading higher­level nodes: –Only solution is to partition a node into a number of subnodes and evenly assign entities to sub­ nodes –Naive partitioning may introduce a node management problem, as a subnode may have to know how its parent and children are partitioned.

60. HLS: Scalability Issues Geographical scalability: We have to ensure that lookup operations generally proceed monotonically in the direction of where we'll find an address: –If entity E generally resides in California, we should not let a root subnode located in France store E 's contact record. –Unfortunately, subnode placement is not that easy, and only a few tentative solutions are known

61. Scalability Issues Geographical scalability: We need to ensure that the name resolution process scales across large geo­graphical distances. Problem: By mapping nodes to servers that may, in principle, be located anywhere, we introduce an implicit location dependency in our naming scheme. Solution: No general one available yet.

62. Scalability Issues The scalability issues related to uniformly placing subnodes of a partitioned root node across the network covered by a location service.

63. Unreferenced Objects: Problem Naming Assumption: Objects may exist only if it is known that they can be contacted: –Each object should be named –Each object can be located –A reference can be resolved to client-object communication Problem: Removing unreferenced objects: –How do we know when an object is no longer referenced (think of cyclic references)? –Who is responsible for (deciding on) removing an object?

64. The Problem of Unreferenced Objects An example of a graph representing objects containing references to each other.

65. Reference Counting Principle: Each time a client creates (removes) a reference to an object O, a reference counter local to O is incremented (decremented) Problem 1: Dealing with lost (and duplicated) mes­ sages: –An is lost so that the object may be prematurely removed –A is lost so that the object is never re­ moved –An ACK is lost, so that the increment/decrement is resent. Solution: Keep track of duplicate requests.

66. Reference Counting The problem of maintaining a proper reference count in the presence of unreliable communication.

67. Reference Counting Problem 2: Dealing with duplicated references - client P 1 tells client P 2 about object O: –Client P 2 creates a reference to O, but dereferencing (communicating with O) may take a long time –If the last reference known to O is removed before P 2 talks to O, the object is removed prematurely Solution 1: Ensure that P 2 talks to O on time: –Let P 1 tell O it will pass a reference to P 2 –Let O contact P 2 immediately –A reference may never be removed before O has acked that reference to the holder

68. Reference Counting a)Copying a reference to another process and incrementing the counter too late b)A solution.

69. Weighted Reference Counting Solution 2: Avoid increment and decrement messages: –Let O allow a maximum M of references –Client P 1 creates reference grant it M 2 credit –Client P 1 tells P 2 about O, it passes half of its credit grant to P 2 –Pass current credit grant back to O upon reference deletion Skeleton

70. Advanced Referencing Counting a)The initial assignment of weights in weighted reference counting b)Weight assignment when creating a new reference.

71. Reference Listing Observation: We can avoid many problems if we can tolerate message loss and duplication Reference listing: Let an object keep a list of its clients: –Increment operation is replaced by an (idempotent) –Decrement operation is replaced by an (idempotent) There are still some problems to be solved: Passing references: client B has to be listed at O before last reference at O is removed (or keep a chain of references) Client crashes: we need to remove outdated registrations (e.g., by combining reference listing with leases)

72. Leases Observation: If we cannot be exact in the presence of communication failures, we will have to tolerate some mistakes Essential issue: We need to avoid that object references are never reclaimed Solution: Hand out a lease on each new reference: –The object promises not to decrement the reference count for a specified time –Leases need to be refreshed (by object or client) Observations: –Refreshing may fail in the face of message loss –Refreshing can tolerate message duplication –Does not solve problems related to cyclic references

73. Advanced Referencing Counting c)Weight assignment when copying a reference.

74. Advanced Referencing Counting Creating an indirection when the partial weight of a reference has reached 1.

75. Advanced Referencing Counting Creating and copying a remote reference in generation reference counting.

76. Tracing in Groups Initial marking of skeletons.

77. Tracing in Groups After local propagation in each process.

78. Tracing in Groups Final marking.