Abstract: Techniques for non-invasive diagnosis of configuration errors in distributed system are disclosed including obtaining data packets from a network that include inflows and outflows associated with a given component of the network. The number of inflows and the number of outflows for the given component of the network are determined based on the obtained data packets. An intersection point corresponding to a predetermined number of inflows and a predetermined number of outflows is obtained and a score for the given component is determined based on a relationship between the intersection point and the determined number of inflows and outflows for the given component. Whether the score for the given component is greater than a predetermined threshold is determined, and the given component is identified as having a configuration error in response to determining that the score for the given component is greater than a predetermined threshold.

Abstract: An example operation may include one or more of identifying a blockchain transaction requiring peer endorsement, transmitting a request for endorsement to one or more peers assigned to a blockchain, receiving endorsement response messages from the one or more peers, wherein the endorsement response messages comprise a plurality of priorities assigned to the blockchain transaction, and forwarding the received plurality of priorities and the blockchain transaction to an ordering node for assignment to the peers.

Abstract: An example operation may include one or more of creating a deferred blockchain transaction and monitoring the condition until the condition is satisfied. In response to satisfying the condition, the example operation may include one or more of endorsing the deferred blockchain transaction, submitting the deferred blockchain transaction to a transaction queue, and committing blockchain transactions in the transaction queue to a blockchain. The deferred blockchain transaction includes an action and a condition, the action to be executed only after satisfying the condition.

Abstract: An example operation may include one or more of identifying a blockchain transaction requiring peer endorsement, transmitting a request for endorsement to one or more peers assigned to a blockchain, receiving endorsement response messages from the one or more peers, wherein the endorsement response messages comprise a plurality of priorities assigned to the blockchain transaction, and forwarding the received plurality of priorities and the blockchain transaction to an ordering node for assignment to the peers.

Abstract: A storage system is described. The storage system includes an object store having a plurality of objects containing information. The storage system also includes a cluster of locking nodes to implement a distributed synchronization locking mechanism. The cluster of locking nodes include a proposer node and a plurality of acceptor nodes. The proposer node to broadcast to the acceptor nodes a proposed lock on at least some of the information. The acceptor nodes to vote on the proposed lock based on respective locking information kept in a local store of each acceptor node.

Abstract: An apparatus is described including a large scale distributed storage system. The large scale distributed storage system includes an object store. The large scale distributed storage system includes a plurality of connector nodes coupled to the object store. The connector nodes are to provide access to the object store for respective users that are respectively coupled to the connector nodes. The connector nodes are to provide the following services for the respective users: a snapshot of a storage system implemented within said object store; branching from a snapshot taken of said storage system implemented within said object store; locking of information kept within said storage system implemented within said object store.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: receiving a system instruction from the at least one processor to perform an operation on a data structure; collecting, using at least one worker thread from a plurality of worker threads, a process request associated with the system instruction, wherein the plurality of worker threads perform operations within a computer system; placing the collected process request at a predetermined position on a state array, wherein the predetermined position is assigned to the at least one worker thread and wherein a helper thread is dedicated to the state array to execute requests placed within the state array; and executing the process request. Other aspects are described and claimed.

Abstract: Methods, systems, and computer program products for software identification, dependency analysis, and manipulation of file system layers of container images are provided herein. A computer-implemented method includes extracting multiple layer files from an input image; identifying software components in each of the extracted layer files; manipulating the input image based on said identifying and user-defined parameters, wherein said manipulating comprises (i) selecting a sub-set of the layer files for retention, (ii) removing a sub-set of the layer files, and (iii) modifying one or more of the layer files selected for retention and/or inserting one or more new layer files in place of one or more of the removed layer files; and outputting a modified version of the input image that includes the sub-set of the multiple layer files selected for retention and any new layer files inserted in place of removed layer files.

Abstract: Methods, systems, and computer program products for leveraging shared work to enhance job performance across analytics platforms are provided herein. A computer-implemented method includes comparing one or more task characteristics of multiple tasks across multiple jobs to be executed within a given environment, wherein each of the multiple jobs comprises one or more tasks; identifying, based on said comparing, one or more of the multiple tasks that can be shared by two or more of the multiple jobs; scheduling the multiple jobs for execution within the given environment, wherein said scheduling is based on (i) the identified tasks that can be shared by two or more of the multiple jobs, and (ii) one or more performance metrics of the given environment; and allocating resources to the multiple jobs based on said scheduling.

Abstract: One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: receiving a system instruction from the at least one processor to perform an operation on a data structure; collecting, using at least one worker thread from a plurality of worker threads, a process request associated with the system instruction, wherein the plurality of worker threads perform operations within a computer system; placing the collected process request at a predetermined position on a state array, wherein the predetermined position is assigned to the at least one worker thread and wherein a helper thread is dedicated to the state array to execute requests placed within the state array; and executing the process request. Other aspects are described and claimed.

Abstract: Methods, systems, and computer program products for software identification, dependency analysis, and manipulation of file system layers of container images are provided herein. A computer-implemented method includes extracting multiple layer files from an input image; identifying software components in each of the extracted layer files; manipulating the input image based on said identifying and user-defined parameters, wherein said manipulating comprises (i) selecting a sub-set of the layer files for retention, (ii) removing a sub-set of the layer files, and (iii) modifying one or more of the layer files selected for retention and/or inserting one or more new layer files in place of one or more of the removed layer files; and outputting a modified version of the input image that includes the sub-set of the multiple layer files selected for retention and any new layer files inserted in place of removed layer files.

Abstract: An apparatus is described including a large scale distributed storage system. The large scale distributed storage system includes an object store. The large scale distributed storage system includes a plurality of connector nodes coupled to the object store. The connector nodes are to provide access to the object store for respective users that are respectively coupled to the connector nodes. The connector nodes are to provide the following services for the respective users: a snapshot of a storage system implemented within said object store; branching from a snapshot taken of said storage system implemented within said object store; locking of information kept within said storage system implemented within said object store.

Abstract: A storage system is described. The storage system includes an object store having a plurality of objects containing information. The storage system also includes a cluster of locking nodes to implement a distributed synchronization locking mechanism. The cluster of locking nodes include a proposer node and a plurality of acceptor nodes. The proposer node to broadcast to the acceptor nodes a proposed lock on at least some of the information. The acceptor nodes to vote on the proposed lock based on respective locking information kept in a local store of each acceptor node.