Techniques are described herein that are capable of deep cloning (a.k.a. deep copying) objects using a binary format. A deep clone of a designated object includes references to other objects (and potentially copies of the other objects) included in the designated object. A binary representation of each object in an object graph is generated to provide a binary clone of the object graph. Objects created by a dynamic language engine are called dynamic language objects. Objects created by a host (e.g., that hosts the dynamic language engine) are called host objects. Each host object is associated with an intermediate representation thereof via a property bag that describes properties of that host object. Each intermediate representation is understandable by the dynamic language engine. A binary representation of each dynamic language object and each host object may be generated in accordance with the binary format to provide the binary clone.

Aspects of the subject matter described herein relate to serializing and de-serializing objects. In aspects, a serialization engine uses a grammar to serialize data into a binary representation. The serialization engine may call upon a host serialization engine to serialize embedded object that are not directly supported by the environment hosting the serialization engine. The serialization engine may encode the grammar used to serialize the data into the serialized data for use in de-serializing the data. After the object is serialized, the serialized data may be de-serialized when desired by using the grammar. The grammar is such that it causes embedded objects and relationships to be preserved in the serialized representation of the object.

A generation apparatus that generates a mapping between individual properties included in an object in a program and individual elements of a structured document. The generation apparatus includes: an object tree generation unit that generates a tree structure representing hierarchical structure of the object by assigning the individual properties included in the object to nodes of the tree structure; and a selection unit that selects a mapping minimizing conversion cost of converting the tree structure of the object to a tree structure that includes the individual elements of the structured document as its nodes. The selection is from mappings that associate the individual properties included in the object with the individual elements of the structured document.

A method, computer program product, and computer system for creating, with a first replication product, one or more groups of a plurality of groups that is empty in a storage array. A protection policy may be applied to the one or more groups on the first replication product, wherein the protection policy may include a replication rule. A policy profile may be created by the second replication product, wherein the replication rule may be included to the policy profile. The protection policy may be applied to a virtual machine (VM). The policy profile may be applied to the VM. The first replication product may replicate one or more virtual volumes of the VM on a remote system based upon, at least in part, the replication rule.

Methods for identifying potentially sensitive information and protecting such potentially sensitive information include scanning systems that collect and/or disseminate such information. Without limitation, systems collect and/or disseminate personal identification numbers (e.g., personal identification numbers, tax identification numbers, etc.), such as merchant systems, bank systems, healthcare systems, and the like, that collect, use, or disseminate sensitive information may be scanned to identify sequences of data that are likely to be sensitive, and may take actions to protect such sequences of data. Scanning and protection systems are also disclosed.

A system for executing software, wherein a computing device stores first software instructions for a code execution module such that, when the first software instructions are executed, the computing device will: receive, for execution by the code execution module, second software instructions; create one or more immutable software nodes described in the second software instructions; determine that the second software instructions comprise an instruction to begin a simulated change at runtime of the one or more immutable software nodes; store the simulated change in a simulated change apparatus; using the simulated change apparatus, perform one or more operations of the second software instructions as if the one or more immutable software nodes had been changed in memory, during a period of time where each of the one or more immutable software nodes is guaranteed to retain logical immutability; and output results of the one or more operations.

Methods for identifying potentially sensitive information and protecting such potentially sensitive information include scanning systems that collect and/or disseminate such information. Without limitation, systems collect and/or disseminate personal identification numbers (e.g., personal identification numbers, tax identification numbers, etc.), such as merchant systems, bank systems, healthcare systems, and the like, that collect, use, or disseminate sensitive information may be scanned to identify sequences of data that are likely to be sensitive, and may take actions to protect such sequences of data. Scanning and protection systems are also disclosed.

A system for executing software, wherein a computing device stores first software instructions for a code execution module such that, when the first software instructions are executed, the computing device will: receive, for execution by the code execution module, second software instructions; create one or more immutable software nodes described in the second software instructions; determine that the second software instructions comprise an instruction to begin a simulated change at runtime of the one or more immutable software nodes; store the simulated change in a simulated change apparatus; using the simulated change apparatus, perform one or more operations of the second software instructions as if the one or more immutable software nodes had been changed in memory, during a period of time where each of the one or more immutable software nodes is guaranteed to retain logical immutability; and output results of the one or more operations.

An information processing apparatus according to an embodiment includes: a creation processing unit which creates information indicating a message structure based on which a length of a memory area to be secured in a stack area of a virtual address space assigned for a serialization process is determined during compilation; a serialization processing unit which performs a serialization process to serialize data from a device and write the serialized data into a data storage device using the information created by the creation processing unit; and a deserialization processing unit which reads the serialized data written into the data storage device and deserializes the read data using the information created by the creation processing unit.

Systems, devices, computer-implemented methods, and tangible non-transitory computer readable media for performing multilayered generation and processing of computer instructions are provided. For example, a computing device may receive a request with instructions in a first computer language, parse the instructions in the first computer language, analyze the instructions in the first computer language in view of information describing structure of a first application, generate instructions in a second computer language different from the first computer language where the instructions in the second computer language are generated based on the instructions in the first computer language and the information describing structure of the first application, obtain a result from a second application where the result comprises information based on the instructions in the second computing language, and provide the result in response to the request comprising the instructions in the first computer language.