Abstract:
There are provided a method of controlling a volatile memory (VM) and a VM controller operatively connectable to the VM. The method comprises: intercepting a reset signal intended to cause a reset of, at least, the VM; assessing a transfer-related (TR) state related to the VM; blocking the intercepted reset signal from reaching the VM if the assessed TR state does not meet a predefined criterion, and transferring the reset signal to the VM if the assessed TR state meets the predefined criterion. The VM controller is configured to: receive a reset signal originating in a computer system and intended to cause a reset of, at least, the VM; detect if the VM has been powered-up during a predetermined timeframe prior to the receipt of the reset signal; and block the received reset signal from reaching the VM if the VM powering-up has not been detected and transfer the reset signal to the VM if the VM powering-up has been detected.
Abstract:
A method for configuring an asynchronous Disaster Recovery (DR) process over a storage system comprising a plurality of storage sites, the method comprising: receiving data indicative of the storage sites; calculating information dispersal parameters that enable dispersing slices of DR enabling data based on original data written to a primary storage site out of the storage sites between at least two DR storage sites out of the storage sites, wherein at least one of the DR storage sites is a remote storage site, wherein each of the slices of DR enabling data is smaller than the original data and wherein the DR enabling data is larger than the original data; and configuring the asynchronous DR process in accordance with the calculated information dispersal parameters.
Abstract:
A distributed storage system comprising interconnected computer nodes; each one of the computer nodes comprising at least one processing resource configured to execute a Unified Distributed Storage Platform (UDSP) agent; at least one of the computer nodes comprising one or more resources including at least one cache resource configured to cache objects and having corresponding cache-related parameters; at least one UDSP agent of a respective computer node having the at least one cache resource is configured to: monitor cache-related parameters of the at least one cache resource connected to the respective computer node, for determining whether the cache-related parameters meet at least one first SLS criteria; and in the case the at least one first SLS criteria is not met, initiate handoff of at least part of one or more cache object spaces of the at least one cache resource to at least one other computer node, which after receiving the at least part of one or more cache object spaces, its cache-related parameters meet at least one second SLS criteria.
Abstract:
A distributed storage system comprising interconnected computer nodes; each one of the computer nodes comprising at least one processing resource configured to execute a Unified Distributed Storage Platform (UDSP) agent; at least one of the computer nodes comprising one or more resources including at least one cache resource configured to cache objects and having corresponding cache-related parameters; at least one UDSP agent of a respective computer node having the at least one cache resource is configured to: monitor cache-related parameters of the at least one cache resource connected to the respective computer node, for determining whether the cache-related parameters meet at least one first SLS criteria; and in the case the at least one first SLS criteria is not met, initiate handoff of at least part of one or more cache object spaces of the at least one cache resource to at least one other computer node, which after receiving the at least part of one or more cache object spaces, its cache-related parameters meet at least one second SLS criteria.
Abstract:
A method for deploying a data-path-related plug-in for a logical storage entity of a storage system, the method comprising: deploying the data-path-related plug-in for the logical storage entity, wherein the deploying includes creating a plug-in inclusive data-path specification and wherein the plug-in inclusive data-path specification includes operation of the data-path-related plug-in; and creating a verification data-path specification, wherein the verification data-path specification does not include operation of the data-path-related plug-in and wherein a task executed in a verification data path, having the verification data-path specification, generates verification data that enables validation of given data generated by the task being executed in a plug-in inclusive data-path having the plug-in inclusive data-path specification.
Abstract:
A method for configuring an asynchronous Disaster Recovery (DR) process over a storage system comprising a plurality of storage sites, the method comprising: receiving data indicative of the storage sites; calculating information dispersal parameters that enable dispersing slices of DR enabling data based on original data written to a primary storage site out of the storage sites between at least two DR storage sites out of the storage sites, wherein at least one of the DR storage sites is a remote storage site, wherein each of the slices of DR enabling data is smaller than the original data and wherein the DR enabling data is larger than the original data; and configuring the asynchronous DR process in accordance with the calculated information dispersal parameters.
Abstract:
A method for optimizing resource consumption parameters associated with operation of one or more interconnected datacenters, each having one or more datacenter components, the method comprising: receiving a plurality of jobs, each job associated with a Service Level Specification (SLS); receiving resource consumption parameters associated with consumption of one or more resources by the datacenter components; providing a prediction of dynamic loads on the datacenter components; determining, based at least on the resource consumption parameters and the prediction of dynamic loads an execution plan including an execution location and an execution time for the jobs while meeting at least (i) the respective SLSs associated therewith, and (ii) optimized resource consumption parameters associated with operation of datacenter components of the datacenters for executing the jobs.
Abstract:
A distributed storage system comprising: an infrastructure layer including interconnected computer nodes, wherein: each one of the interconnected computer nodes comprising processing resources configured to execute a Unified Distributed Storage Platform (UDSP) agent configured to: receive a task having assignments, calculating grades for assignments such that each grade is indicative of a suitability to execute assignments while meeting at least one Service Level Specification (SLS) requirement. The grade is calculated based on storage related resources parameters data. The task is routed to a more suitable computer node based on the calculated grades. The updated infrastructure layer is created in response to adding interconnected computer nodes and executing assignments of following tasks or routing the following tasks to a more suitable computer node based on the calculated grades.
Abstract:
There is provided a distributed storage system (DSS) and method of operating thereof. DSS comprises Objective Based Configuration Module (OBCM) operatively coupled to a plurality of interconnected computer nodes. Computer nodes comprise processing resources to calculate data indicative of conformity between 1) parameters relating to storage-related resources connected to respective interconnected computer nodes and at least partially allocated to a logical storage entity and 2) a Service Level Specification (SLS) indicative of user-defined storage requirements referring to the logical storage entity, and to inform the OBCM accordingly. OBCM is configured to: use the conformity indicative data to assess conformity status (over-utilized, normal or under- utilized) for a storage location with respect to storage-related resources placed thereon; calculate a reconfiguration for the DSS so that to re-allocate storage-related resources from storage location with under-utilized status to a storage location with over-utilized status; and perform measures for re-allocating according to the calculated reconfiguration.