Dusso, 2012 - Google Patents
A monitoring system for wattdb: An energy-proportional database clusterDusso, 2012
View PDF- Document ID
- 526716089856749774
- Author
- Dusso P
- Publication year
External Links
Snippet
WattDB is a locally distributed database system that runs on a cluster of lightweight nodes. It aims to balance power consumption proportionally to the system's load by dynamically powering its nodes individually up and down. Monitoring can serve as a basic building block …
- 238000000034 method 0 abstract description 48
Classifications
-
- 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
- G06F11/3409—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 for performance assessment
-
- 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
- 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
- G06F11/30—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
- G06F11/3476—Data logging
-
- 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
- G06F17/30587—Details of specialised database models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/362—Software debugging
- G06F11/3636—Software debugging by tracing the execution of the program
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
-
- 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
- G06F2201/86—Event-based monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- 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
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Isah et al. | A survey of distributed data stream processing frameworks | |
| US8156421B2 (en) | Analysis of database performance reports for graphical presentation of summary results | |
| US11048608B2 (en) | Probability-distribution-based log-file analysis | |
| US10776439B2 (en) | Efficient log-file-based query processing | |
| Sigelman et al. | Dapper, a large-scale distributed systems tracing infrastructure | |
| Zhao et al. | Cloud data management | |
| CN107103064B (en) | Data statistical method and device | |
| KR20150118963A (en) | Queue monitoring and visualization | |
| Dietrich et al. | Pika: Center-wide and job-aware cluster monitoring | |
| Bedini et al. | Modeling performance of a parallel streaming engine: bridging theory and costs | |
| US10346204B2 (en) | Creating models based on performance metrics of a computing workloads running in a plurality of data centers to distribute computing workloads | |
| Creţu-Ciocârlie et al. | Hunting for problems with Artemis | |
| Wiedemann et al. | Towards I/O analysis of HPC systems and a generic architecture to collect access patterns | |
| Yoon et al. | DBSeer: Pain-free database administration through workload intelligence | |
| Bader | Comparison of time series databases | |
| Bhandare et al. | Generic log analyzer using Hadoop MapReduce framework | |
| Dusso | A monitoring system for wattdb: An energy-proportional database cluster | |
| Barry | Resource utilization reporting | |
| Litchfield et al. | Distributed Relational Database Performance In Cloud Computing: An Investigative Study. | |
| Bhattacharya et al. | Evaluating distributed computing infrastructures: an empirical study comparing Hadoop deployments on cloud and local systems | |
| Sanaboyina | Performance evaluation of time series databases based on energy consumption | |
| Klein et al. | Quality attribute-guided evaluation of NoSQL databases: an experience report | |
| Felius | Assessing the performance of distributed PostgreSQL | |
| Souza et al. | Controlling the parallel execution of workflows relying on a distributed database | |
| Höger | Fault tolerance in parallel data processing systems |