Cheng et al., 2012 - Google Patents
Kineograph: taking the pulse of a fast-changing and connected worldCheng et al., 2012
View PDF- Document ID
- 15067072996093243353
- Author
- Cheng R
- Hong J
- Kyrola A
- Miao Y
- Weng X
- Wu M
- Yang F
- Zhou L
- Zhao F
- Chen E
- Publication year
- Publication venue
- Proceedings of the 7th ACM european conference on Computer Systems
External Links
Snippet
Kineograph is a distributed system that takes a stream of incoming data to construct a continuously changing graph, which captures the relationships that exist in the data feed. As a computing platform, Kineograph further supports graph-mining algorithms to extract timely …
- 238000005065 mining 0 abstract description 27
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30477—Query execution
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
- G06F11/16—Error detection or correction of the data by redundancy in hardware
- G06F11/20—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
- G06F11/202—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements where processing functionality is redundant
- G06F11/2023—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements where processing functionality is redundant details of failing over
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
- G06F11/16—Error detection or correction of the data by redundancy in hardware
- G06F11/20—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
- G06F11/2097—Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements maintaining the standby controller/processing unit updated
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30575—Replication, distribution or synchronisation of data between databases or within a distributed database; Distributed database system architectures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5061—Partitioning or combining of resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for programme control, e.g. control unit
- G06F9/06—Arrangements for programme control, e.g. control unit using stored programme, i.e. using internal store of processing equipment to receive and retain programme
- G06F9/46—Multiprogramming arrangements
- G06F9/52—Programme synchronisation; Mutual exclusion, e.g. by means of semaphores; Contention for resources among tasks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30861—Retrieval from the Internet, e.g. browsers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F15/00—Digital computers in general; Data processing equipment in general
- G06F15/16—Combinations of two or more digital computers each having at least an arithmetic unit, a programme unit and a register, e.g. for a simultaneous processing of several programmes
- G06F15/163—Interprocessor communication
- G06F15/173—Interprocessor communication using an interconnection network, e.g. matrix, shuffle, pyramid, star, snowflake
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Cheng et al. | Kineograph: taking the pulse of a fast-changing and connected world | |
Dai et al. | Bigdl: A distributed deep learning framework for big data | |
To et al. | A survey of state management in big data processing systems | |
Heidari et al. | Scalable graph processing frameworks: A taxonomy and open challenges | |
Zaharia et al. | Discretized streams: Fault-tolerant streaming computation at scale | |
Zhang et al. | PrIter: A distributed framework for prioritized iterative computations | |
Ananthanarayanan et al. | Photon: Fault-tolerant and scalable joining of continuous data streams | |
Kleppmann et al. | Kafka, samza and the unix philosophy of distributed data | |
Bailis et al. | Bolt-on causal consistency | |
Zhang et al. | Sub-millisecond stateful stream querying over fast-evolving linked data | |
Brito et al. | Scalable and low-latency data processing with stream mapreduce | |
CN104205095B (en) | Platform for Continuous Graph Updates and Computations | |
Qiao et al. | On brewing fresh espresso: Linkedin's distributed data serving platform | |
Escriva et al. | Kronos: The design and implementation of an event ordering service | |
Wang et al. | A fault-tolerant framework for asynchronous iterative computations in cloud environments | |
Urbani et al. | AJIRA: a lightweight distributed middleware for MapReduce and stream processing | |
Perera et al. | Database scaling on Kubernetes | |
Gupta et al. | High-availability at massive scale: Building google’s data infrastructure for ads | |
Dai et al. | Trigger-based incremental data processing with unified sync and async model | |
Li et al. | Replichard: Towards tradeoff between consistency and performance for metadata | |
Nawab et al. | The challenges of global-scale data management | |
Spenger et al. | Wip: pods: privacy compliant scalable decentralized data services | |
Zhao et al. | Fast parallel recovery for transactional stream processing on multicores | |
Li et al. | Research and implementation of a distributed transaction processing middleware | |
Asif | FlinkNDB: Guaranteed Data Streaming Using External State |