International Business Machines Corporation

George Goldberg

Dmitry Sotnikov

Jonathan Amit

Chaim Koifman

Sergey Marenkov

Nir Halowani

Lilia Demidov

Ronen Itshak Kat

Danny Harnik

Julian Satran

Oded Margalit

Yosef Moatti

Kalman Zvi Meth

Yaron Weinsberg

Doron Chen

Kat I Ronen

Roger Kahn

Identification of data candidates for data processing is performed in real time by a processor device in a computing environment. Data candidates are sampled for performing a classification-based compression upon the data candidates. A heuristic is computed on a randomly selected data sample from the data candidate, the heuristic computed by, for each one of the data classes, calculating an expected number of characters to be in a data class, calculating an expected number of characters that will not belong to a predefined set of the data classes, and calculating an actual number of the characters for each of the data classes and the non-classifiable data.

Real-time identification of data candidates for classification based compression

For real-time classification of data into data compression domains, a decision is made for which of the data compression domains write operations should be forwarded by reading randomly selected data of the write operations for computing a set of classifying heuristics thereby creating a fingerprint for each of the write operations. The write operations having a similar fingerprint are compressed together in a similar compression stream.

Real-time classification of data into data compression domains

Methods, computing systems and computer program products implement embodiments of the present invention that include defining a first multiple of software container configurations and a second multiple of permission sets, and receiving, by a first computer, a request to perform a service operation on a second computer having multiple resources. Upon identifying one or more of the resources that are required for the service operation, a given software container configuration and a given permission set are selected based on the identified one or more resources, and the given software container configuration and the given permission set are conveyed to the second computer. Upon the second computer receiving the given software container configuration and the given permission set, a software container is generated. The software container is opened on the host computer prior to performing the service operation, and closed upon completing the service operation.

Container-based system administration

Identification of data candidates for data processing is performed in real time by a processor device in a distributed computing environment. Data candidates are sampled for performing a classification-based compression upon the data candidates. A heuristic is computed on a randomly selected data sample from the data candidate, the heuristic computed by, for each one of the data classes, calculating an expected number of characters to be in a data class, calculating an expected number of characters that will not belong to a predefined set of the data classes, and calculating an actual number of the characters for each of the data classes and the non-classifiable data.

Identification of data candidates for data processing is performed in real time by a processor device in a computing environment. Data candidates are sampled for performing a classification-based compression upon the data candidates. A heuristic is computed on a randomly selected data sample from the data candidate for determining if the data candidate may benefit from the classification-based compression, wherein a ratio is summed between the actual number of the characters and the expected number of the characters, and then dividing the ratio by a number of the data classes that are not empty, wherein the non-classifiable data are included in the number of the data classes during the dividing, and the number of the data classes, that are not empty, have characters that belong to the class that were observed in the input; and the classification-based compression is performed on the data candidates if the ratio exceeds a threshold.

Identification of data candidates for data processing is performed in real time by a processor device in a computing environment. Data candidates are sampled for performing a classification-based compression upon the data candidates. A heuristic is computed on a randomly selected data sample from the data candidate for determining if the data candidate may benefit from the classification-based compression. A decision is provided for approving the classification-based compression on the data candidates according to the heuristic.

A computer implemented method is disclosed, for energy-saving operation of a storage device with a read/write head. The method includes monitoring workload of the storage device, calculating current mean workload and adjusting seek speed of the read/write head of the storage device to one of a plurality seek speeds depending on the calculated current mean workload. The step of adjusting the seek speed of the read/write head includes adjusting the seek speed of the read/write head to be a first seek speed if the calculated current mean workload is below a first threshold, adjusting the seek speed of the read/write head to be a second seek speed if the calculated current mean workload is between the first threshold and a second threshold, and adjusting the seek speed of the read/write head to be the first seek speed if the calculated current mean workload is greater than the second threshold. A computer program product and a data processing system are also disclosed.

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Bat Yam, Israel

George Goldberg