Emc Corporation

Google Inc.

Emc IP Holding Company LLC

Patrick Eaton

Rossen P Dimitrov

Stephen A Fridella

Fernando Oliveira

David E Cohen

Boris Vladimir Protopopov

Jurgen Leschner

Arkady Kanevsky

Zane Pan

Raymond Angelone

Jeremy Lee Katz

Philip Jacob

Rossen Dimitrov

Providing a service in a storage system includes using a predicate that corresponds to a subset of storage objects in a set of storage objects stored in the storage system. The predicate is used to select or reject the objects to which the service is to be provided. The predicate is applied to the set of storage objects to obtain the subset of storage objects. The service is then invoked for the subset of storage objects selected according to the predicate. A trigger event causes invocation of the service. The trigger event may be periodic and/or may be a storage object lifecycle event, a storage object access related event, an event corresponding to a state change of the storage system, or an event that is external to the storage system. The trigger event may include the predicate being modified.

Unified framework for policy-based metadata-driven storage services

The present disclosure is directed to a system for monitoring and analyzing operation of a widely distributed service operated by an Infrastructure-as-a-Service (IaaS) tenant but deployed on a set of virtual resources controlled by an independent IaaS provider. The set of virtual resources can be organized into clusters in which resources are expected to behave similarly to each other. Virtual resources that do not behave similar to peer resources in the same cluster, i.e., outliers, may be indicative of problems that need to be addressed. The monitoring system can collect performance metric data from virtual resources, and compare the performance of each virtual resource in a cluster with the performance of every other virtual resource in the cluster to detect outliers. This comparison can involve correlation analysis, ANOVA analysis, or regression analysis.

System and method of monitoring and measuring cluster performance hosted by an IAAS provider by means of outlier detection

The present disclosure is directed to a monitoring system for automatically inferring, without human modelling input or information regarding actual physical network connectivity, a service architecture of a widely distributed service operated by an Infrastructure-as-a-Service (IaaS) tenant but deployed on a set of virtual resources controlled by an independent IaaS provider. The monitoring system can collect infrastructure metadata and/or system-level metric data characterizing the set of virtual resources from the IaaS provider, and automatically infer from the metadata and/or metric data how the virtual resources should be organized into groups, clusters and hierarchies. The monitoring system can automatically infer this service architecture using naming conventions, security rules, software types, deployment patterns, and other information gleaned from the metadata and/or metric data. The monitoring system can then run analytics based on this inferred service architecture to report on service operation.

System and method of semantically modelling and monitoring applications and software architecture hosted by an IaaS provider

Managing file objects in a data storage system includes providing a plurality of metadata servers, each metadata server having information for only a subset of file objects in the storage system, each subset for each of the metadata servers being less than a total number of file objects for the system and includes providing at least one metadata location server, where an entity accessing a specific file object of the system determines which of the metadata servers contains data for the specific file object by first accessing the at least one metadata location server. Information for the subset of file objects may include a table having file identifiers and metadata location information. The metadata location information may point to data storage for a metadata object for a file.

Managing file objects in a data storage system

Tracking storage resources includes providing a table containing storage resources along with capabilities and statuses thereof, updating the table in response to a change of status of a storage resource, updating the table in response to a change in capabilities of a storage resource and, in response to an inquiry for a storage resource having a particular capability, searching the table for a storage resource having the particular capability. Tracking storage resources may also include adding an element to the table in response to a new resource being added to the system. The capabilities may include RAID striping, data deduplication, and green operation. The status may be one of: on-line, off-line, and full.

Exposing storage resources with differing capabilities

Accessing data includes determining if the data is provided on a local group of servers or on an external group of servers. If the data is provided on a local group of servers, a storage server is used to access the data. If the data is provided on an external group of servers, a proxy server is used to access the data. The proxy server interacts with an entity accessing the data in a manner that is substantially similar to interaction between the entity and the storage server. Using the proxy server may include initially providing an account id and a password. Following providing an account id and a password, using the proxy server may include using an account id and a shared secret. Using the proxy server may include using RSA ID tokens or cryptographic certificates.

Federating data between groups of servers

Managing files using layout storage objects

Accessing data file objects includes providing a file system interface on a client, where the file system interface allows an application running on the client to make file system calls to access the data file objects. A Web Services interface may also be provided on the client, where the Web Services interface allows an application to access file objects using the Web Services at the same time that file objects are being accessed through the file system interface. The Web Services interface may be a SOAP interface and/or a REST interface. Accessing data file objects may also include providing a direct file object interface on the client, where the direct file object interface allows an application to directly access file objects at the same time that file objects are being accessed using the Web Services interface and using the file system interface.

Growing community of inventors

Arlington, MA, United States of America

Patrick Eaton