Microsoft Technology Licensing, LLC

Polyverse Corporation

Mariusz Gerard Borsa

Igor Sedukhin

Amol Kulkarni

Daniel Eshner

Haoran Andy Wu

Gilles C J A Zunino

Prasad Sripathi Panditharadhya

Erik B Christensen

Gueorgui Chkodrov

Udaya Kumar Bhaskara

Nagalinga Durga Prasad Sripathi Panditharadhya

Leo S Vannelli, Iii

Mandyam Kishore

Anubhav Dhoot

Michael Oliver Neary

Steve Swartz

Amol Sudhakar Kulkarni

First and second neighboring bit sequences containing machine language are determined to be (latently) separable. Such determination may be partly based on suitability for separation and partly based on environmental readiness, for example. If separability is determined, any of several response protocols may ensue. For example one or both of the bit sequences may be moved, modified, or trapped as part of a moving target defense.

Code snippet mobilization systems and methods

In some variants computing systems and methods are described in regard to establish a version of an operating system in a first computing environment monitored by a support interface (e.g. a hypervisor) and a version of a second operating system in a second environment also monitored by the support interface(s) so that the version of the first operating system supports a resource (e.g. a process) in the first computing environment; allowing the support interface to advance the first application function to and then pause the first application function in an operational state characterized by one or more operating parameters; and establishing polymorphed or other aliased second support interface to which to migrate the paused resource when appropriate.

Computing environment multi-aliasing systems and methods

The present invention extends to methods, systems, and computer program products for monitoring distributed applications. Declarative application models are used. Operational data for a deployed application can be compared to an application intent expressed in a corresponding declarative application to provide more effective monitoring of application behavior. Application components can subscribe to an event fabric to receive configurations that indicate what events the application is to emit (i.e., publish into the event fabric) for monitoring. Thus, applications essentially subscribe to produce information (as opposed to subscribing to receive information). Monitoring can be dynamically adjusted in response to environment changes.

Monitoring distributed applications

A system for automatically adjusting operation of a distributed application program includes analytics means having a monitoring component. The monitoring component receives one or more event streams of data corresponding to execution of one or more modules of the distributed application program. The monitoring component joins the received event streams with one or more declarative models to create operational data. A forensics component of the analytics means queries, such as by using data from a declarative model store, the operational data to identify trends or behavior information for the various modules or components of the distributed application program. A planner component then reviews data created by the forensics component to identify any needed changes to the declarative models. The planner component passes any modified declarative models back to the system, so that the distributed application program can operate more efficiently using the changes to the declarative models, as needed.

Tuning and optimizing distributed systems with declarative models

The present invention extends to methods, systems, and computer program products for distributed behavior controlled execution of modeled applications. Embodiments of the invention facilitate the interoperation of a central data store along with various peer-to-peer functionalities. Thus, distributed applications can be executed in an environment that utilizes advantages of both a central data store and peer-to-peer messaging. A read-only portion of a centralized data store can be used to provide some behavior control over various processing systems during execution of a distributed software application. Thus, embodiments of the invention can be used to form a policy-driven collective of nodes forming a distributed, decentralized run-time for model-based applications. Utilizing a cooperating collective of nodes that comply with centralized polices and execute applications over a peer-to-peer fabric permits a distributed application runtime to accommodate distribution and decentralization on a large scale.

Distributed behavior controlled execution of modeled applications

Enabling and processing events. To enable events, an application model correlated to an application is declaratively defined. The application model describes operations of the application. One or more event models correlated to the application model are declaratively defined. The event models describe application execution locations where events are desired to be emitted in the execution of the application. Based on the correlation of the event models to the application models, the applications are instrumented with instrumentation code to cause the application to emit events at the execution locations. To process events an application model is defined. The application model includes one or more observation models. The observation models include a correlation of events to the observation model by defining instrumentation models in the application model. An event is received. The event is applied to the observation model based on the correlation. The event is processed according to the observation model.

Model-driven, repository-based application monitoring system

Growing community of inventors

Redmond, WA, United States of America

Mariusz Gerard Borsa