International Business Machines Corporation

Manish Sethi

Manish Satyapal Gupta

Ashok Anand

Narendran Sachindran

Chander Govindarajan

Senthilnathan Natarajan

Adarsh Saraf

Kalapriya Kannan

Anca Sailer

Hidayatullah Habeebullah Shaikh

Roberta Jo Cochrane

Alberto Giammaria

Ram Viswanathan

Balaji Viswanathan

Sriram Raghavan

Sheehan Anderson

Dipayan James Gangopadhyay

Pratik Gupta

Soudip Roy Chowdhury

Manoj Soni

David Michael Enyeart

Vinod Ramachandran

An example operation may include one or more of retrieving, into a new node to be instantiated in a blockchain network, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, retrieving, into the new node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the received state database checkpoint, and executing, at the new node, the transactions of the retrieved blocks on the initial state database to generate a current state database.

Checkpointing for increasing efficiency of a blockchain

An example operation may include one or more of in one or more peer nodes of a plurality of peer nodes of a blockchain network that stores a blockchain and a state database, periodically generating a state database checkpoint, obtaining a consensus on the state database checkpoint from one or more of the one or more peer nodes, and storing the consensus state database checkpoint.

An example operation may include one or more of creating, by a blockchain node, a validation database in a memory, simulating each of one or more transactions, determining that each transaction in a new block may be validated using the validation database, validating each transaction in the new block using the validation database, and committing the new block to the blockchain. The validation database includes data corresponding to a predetermined number of most recent blocks of a state database for a blockchain.

Efficient validation for blockchain

An example operation may include one or more of retrieving, into a corrupted node in a blockchain network that is at least one corrupted or forked, a state database checkpoint of a state database created at a block number of a blockchain of the blockchain network, wherein the retrieved state database checkpoint comprises a last known non-corrupted or non-forked checkpoint state, retrieving, into the corrupted node, blocks of the blockchain from the checkpoint block number to a current block number, constructing an initial state database from the retrieved state database checkpoint, and executing, at the corrupted node, the transactions of the retrieved blocks on the initial state database to generate a current state database.

The example embodiments are directed to a system and method for detecting phantom data items in a blockchain transaction. In an example, the method includes one or more of generating a transaction data set during a read phase of a blockchain transaction, the transaction data set including an identification of each query of the transaction executed during the read phase and results of each query, generating a validation data set by re-executing each query during a validation phase of the blockchain transaction, the validation data set including query results of each respective re-executed query, determining whether the blockchain transaction observes one or more phantom data items based on the query results of the transaction data set and the validation data set, and, in response to determining the transaction observes the one or more phantom data items, preventing the transaction data set from being written to the blockchain.

Detecting phantom items in distributed replicated database

One embodiment provides a method for enabling computation of a signature of an information set given change information by storing information in a hierarchical data structure, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving change information relating to a first node within the hierarchical data structure; accessing a database comprising at least one key, wherein the at least one key comprises a crypto-hash and is assigned to a node within the hierarchical data structure; identifying a node key within the database that is assigned to the first node; computing a node crypto-hash for the first node after modifying the first node using the received change information; modifying the node key based upon the computed node crypto-hash; and updating the database with the modified node key. Other aspects are described and claimed.

Organizing key-value information sets into hierarchical representations for efficient signature computation given change information

A plug-in-based templatization framework for automating the creation of open virtualization framework (OVF) virtual appliance (VA) is provided. According to one embodiment, a framework is stored which comprises a plurality of product-specific add-ons. Each of the plurality of product-specific add-ons comprises a discovery element, an activation logic template element, an open virtualization package envelope template element. The plurality of product-specific add-ons are executed against a first virtual composite application instance while said the virtual composite application instance is executing in a first virtualization platform environment to automatically generate an open virtualization package template. A second virtual composite application instance is then deployed within a second virtualization platform environment utilizing the open virtualization package template.

Plug-in based templatization framework for automating the creation of open virtualization format virtual appliances

Methods and arrangements for storing and retrieving nested structures. A nested structure is obtained. There are created slices containing arbitrary sub-structures of the nested structure. The content of slices is stored in one or more columns of a column-oriented data store. At least one access plan for accessing slices in the data store is developed, to be used when a projection query is received. The access plan is executed to construct a nested structure that answers the projection query. Other variants and embodiments are broadly contemplated herein.

Persisting and retrieving arbitrary slices of nested structures using a column-oriented data store

Techniques for co-relating at least one of a functional design and at least one implementation artifact of a solution with at least one infrastructure component of a target deployment environment for the solution are provided. The techniques include obtaining at least one of a functional design and at least one implementation artifact of a solution, obtaining at least one infrastructure component of a target deployment environment for the solution, and co-relating at least one of a functional design and at least one implementation artifact of a solution with at least one infrastructure component of a target deployment environment for the solution, wherein co-relating comprises discovering at least one system level dependency among the at least one of a functional design and at least one implementation artifact and the at least one infrastructure component.

Determining system level dependencies

A configuration model for an existing software solution, which is distributed over a plurality of existing machines, is discovered. The model includes a plurality of configuration items, which in turn include a plurality of independent attributes and a plurality of dependent attributes, with the plurality of dependent attributes being derivable from the plurality of independent attributes based on a plurality of constraints. The configuration model is stored in a repository, together with disk images, resource configuration details, and logical names of pertinent ones of the existing machines. Specifications of new values of the independent attributes are obtained, and new values of the dependent attributes are computed from the new values of the independent attributes, based on executing the constraints on the configuration model. The images are deployed onto a plurality of new machines for operation in accordance with the new values of the independent attributes and the new values of the dependent attributes, to obtain a re-deployed solution. The machines can be virtual machines or physical machines.

Method, system and computer program product for solution replication

A framework instantiates an application from its disk snapshots. The disk snapshots are taken from a different network environment and migrated to a virtualized environment. Modifications to operating systems and hypervisors are avoided, and no special network isolation support is required. The framework is extensible and plug-in based, allowing product experts to provide knowledge about discovering, updating, starting and stopping of software components. This knowledge base is compiled into a plan that executes various interleaved configuration discovery, updates and start tasks such that a required configuration model can be discovered with minimal start and update task execution. The plan generation automatically stitches together knowledge for the various products, thus significantly simplifying the knowledge specification. Once discovery is complete, the framework utilizes the discovered model to update stale network configurations across software stack and customize configurations beyond network settings.

System and method for instantiation of distributed applications from disk snapshots

Techniques for creating a virtual appliance in a virtualization environment are provided. The techniques include implementing a framework, wherein the framework comprises a knowledge representation scheme for describing library knowledge to specify one or more libraries that are used for interaction between two or more appliance components, and using the framework to instrument the one or more libraries via use of the library knowledge, record each of one or more communication parameter values in an original environment, and package one or more disk images, wherein the one or more disk images contain the one or more instrumented libraries, the one or more communication parameter values, and translation logic, to create a virtual appliance.

Creating virtual appliances

A method for preventing deadlock in a distributed computing system includes the steps of: receiving as input a sorted set of containers defining a unique global sequence of containers for servicing process requests; populating at least one table based at least in part on off-line analysis of call graphs defining corresponding transactions for a given order of the containers in the sorted set; storing within each container at least a portion of the table; and allocating one or more threads in a given container according to at least a portion of the table stored within the given container.

Prevention of deadlock in a distributed computing environment

Configuration parameter name-value pairs are obtained for each of a plurality of component instances in a deployed software solution. A candidate set of configuration dependencies between different ones of the plurality of component instances in the deployed software solution is identified, based on the configuration parameter name-value pairs. The candidate set of configuration dependencies includes true dependencies and false dependencies. The candidate set of configuration dependencies is rank-ordered to obtain a rank-ordered list, such that a probability of the true dependencies getting a higher rank is greater than a probability of the false dependencies getting a higher rank.

Determining configuration parameter dependencies via analysis of configuration data from multi-tiered enterprise applications

A system and method for problem determination using probe collections and problem classification for the technical support services monitor and collect data associated with a computer system, raise an alarm based on the monitored and collected data, probe the computer system for additional information, filter the monitored and collected data based on the additional information established from probing, and use the filtered data to label a problem associated with the raised alarm.

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New Delhi, India

Manish Sethi