Dropbox CEC 2011 New Orleans
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This document discusses using cloud storage services like Dropbox to enable distributed evolutionary algorithms across multiple computers. It proposes using Dropbox to synchronize file-individuals representing phenotypes and genotypes between computers. Each computer would evolve its own population while exchanging individuals with a shared Dropbox folder. The document tests this approach on two problems using one, two, or four computers with varying migration frequencies. Results show higher success rates with more computers and less frequent migration.
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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
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Dropbox CEC 2011 New Orleans
- 1. Cloud-based EAs: An algorithmic study Juan-J. Merelo, Maribel García-Arenas, Antonio M. Mora, Pedro Castillo, Gustavo Romero, JLJ Laredo
- 3. Why not to use them for computing?
- 11. It is popular, so many people use it, and we may found many volunteer for computation
- 12. It monitor the local filesystem and uploads information asynchronously
- 13. We can use it as a local directory
- 16. It synchronizes the file-individuals with others computers
- 17. Each computer evolves an island
- 18. Dropbox folder is a pool of individuals and each computer adds and gets file-individuals from it
- 20. All the computer evolves a population of individuals and it exchanges with the pool file-individuals
- 22. Into the filesystem attributes? Dropbox is working on that and we will testing in the future
- 23. Into the namefile? It is our approach
- 25. We have to code the genotype into 32 base
- 29. Evaluate
- 30. Generational replacement with 1-elitism
- 31. If it is time, Gets and file-individual from the pool and incorporates it to the population
- 35. It is composed of k (k=80) subproblems of 6 bits each one called s i for i=0 to 79 .
- 36. Depending of the number of ones s i takes the values detailed into the table
- 37. The optimum fitness for this problem is 80 ones fitness 0 or 6 1 5 or 1 0 2 or 4 0,360384 3 0,640576
- 39. For this time, P is 300 and N is 600 and H is the hamming distance between x and the i-peak
- 40. The optimum fitness for this problem is 1.
- 42. Population size: 1000 individuals
- 46. Replacement: Generational with 1-elitism
- 47. Stop criteria: maximum number of evaluations or to reach the solution of the problem
- 49. P-Peaks: This problem is solved usually around 165 generations including only one computer and we will include in and out migration each 20, 40 and 60 generations so we migrate around 8, 4 or 2 times during the evolutionary process
- 50. First results: MMDP Computers Gens for Migration success(%) 1 100 83% 2 100 95% 4 100 100% 1 200 70% 2 200 88% 4 200 100% 1 400 80% 2 400 90% 4 400 100%
- 54. Questions