Astrolabe: A robust and scalable technology for distributed system monitoring, management, and data mining

By Robbert van Renesse, K. Birman, Werner Vogels. TOCS, 2003

821 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/4ac2dedd15fa7f6ec6110ad2c0e3d85e2e0c5f4d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Information Systems

Citations in the corpus

The ganglia distributed monitoring system: design, implementation, and experience (2004, background): “Scalable monitoring across thousands of clusters in the wide-area will likely require use of some combination of summarization, locally scoped queries, and distributed query processing [17, 30].”
PlanetP: using gossiping to build content addressable peer-to-peer information sharing communities (2003, background): “Astrolabe[23] is an infrastructure that can perform SQL queries over SNMP style databasesthat arewidely distributed.”
Gossip-based computation of aggregate information (2003, methodology): “Thus, our protocols implement the Eventual Consistency paradigm [34].”
The FRACTAL component model and its support in Java (2006, background): “Several MOMs have been developed in the past 10 years [15,18–20].”
Running Smart Grid Control Software on Cloud Computing Architectures (2011, background): “Thus, cloud computing systems have exceptional capabilities for moving data from the Internet into the cloud (web crawlers), indexing and searching that data (MapReduce [16], Chord [3], Dynamo [17], etc.), managing files that might contain petabytes of information (BigTable [13], the Google File Sys”
Gossip-based aggregation in large dynamic networks (2005, background): “Perhaps the best-known example of this approach is Astrolabe [26], and more recently, SDIMS [30].”
A scalable distributed information management system (2004, methodology): “While previous systems [15, 29, 38, 32, 35, 46] implement a single static strategy, we argue that a SDIMS should provide fl xible computation and”
Correlating Instrumentation Data to System States: A Building Block for Automated Diagnosis and Control (2004, background): “Pervasive instrumentation and query capabilities are necessary elements of the solution for managing complex systems [31, 21, 32, 12].”
The Peer Sampling Service: Experimental Evaluation of Unstructured Gossip-Based Implementations (2004, background): “Astrolabe [28] needs also be mentioned as a hierarchical (and therefore structured) overlay which although applies (non-uniform) gossip to increase robustness and to achieve self-healing properties, does not even attempt to implement or apply a uniform peer sampling service.”
Peer-to-peer systems (2010, neutral): “monitoring, management and mining [25,37], massively dis-”
Survey of research towards robust peer-to-peer networks: Search methods (2006, methodology): “attributes: Single, multiple Query types: Count, sum, maximum, minimum, average, median, top k [92, 386, 387]”
Gossip-based peer sampling (2007, background): “Astrolabe [van Renesse et al. 2003] also needs to be mentioned as a hierarchical (and therefore structured) overlay, which, although applying (nonuniform) gossip to increase robustness and to achieve self-healing properties, does not even attempt to implement or apply a uniform peer-sampling…”
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (2014, neutral): “For example, it can use a tree hierarchy [20] or a directory service with an eventually consistent gossip protocol [8, 26].”
' s personal copy T-MAN : Gossip-based fast overlay topology construction q (2009, background): “For example, application-level multicast might need carefully controlled random networks or trees, depending on the multicast approach [1,2].”
T-Man: Gossip-Based Overlay Topology Management (2005, background): “Related work includes gossip-based protocols, that have gained notable popularity in various contexts [1,2,14].”
Delay aware querying with Seaweed (2006, positive): “Systems that support distributed information management such as Astrolabe [31] and SDIMS [32] build aggregation trees supporting continuous queries using user-defined aggregation functions.”