The State University of New York

Other

The Research Foundation for the State University

Lockheed Martin Corporation

The Research Foundation for Suny

Strandera Corporation

Kanad Ghose

Husam Atallah Alissa

Kourosh Nemati

Peter Sulatycke

Baghat Sammakia

Erdem Aktas

Bahgat Ghaleb Sammakia

Stephen Ray Shafer

Matt T Yourst

Sandeep S Mittal

Dmitry V Ponomarev

Gurhan Kucuk

A method of controlling a data center having a cold air cooling system, and at least one containment structure, comprising: determining a minimum performance constraint; determining optimum states of the cold air cooling system, a controlled leakage of air across the containment structure between a hot region and a cold air region, and information technology equipment for performing tasks to meet the minimum performance constraint, to minimize operating cost; and generating control signals to the cold air cooling system, a controlled leakage device, and the information technology equipment in accordance with the determined optimum states.

Control systems and prediction methods for it cooling performance in containment

A method for controlling a data center, comprising a plurality of server systems, each associated with a cooling system and a thermal constraint, comprising: a concurrent physical condition of a first server system; predicting a future physical condition based on a set of future states of the first server system; dynamically controlling the cooling system in response to at least the input and the predicted future physical condition, to selectively cool the first server system sufficient to meet the predetermined thermal constraint; and controlling an allocation of tasks between the plurality of server systems to selectively load the first server system within the predetermined thermal constraint and selectively idle a second server system, wherein the idle second server system can be recruited to accept tasks when allocated to it, and wherein the cooling system associated with the idle second server system is selectively operated in a low power consumption state.

Energy aware processing load distribution system and method

A system and method of scheduling tasks, comprising receiving activity and performance data from registers or storage locations maintained by hardware and an operating system; storing calibration coefficients associated with the activity and performance data; computing an energy dissipation rate based on at least the activity and performance data; and scheduling tasks under the operating system based on the computed energy dissipation rate.

Apparatus and method for efficient estimation of the energy dissipation of processor based systems

A secure processor, comprising a logic execution unit configured to process data based on instructions; a communication interface unit, configured to transfer of the instructions and the data, and metadata tags accompanying respective instructions and data; a metadata processing unit, configured to enforce specific restrictions with respect to at least execution of instructions, access to resources, and manipulation of data, selectively dependent on the received metadata tags; and a control transfer processing unit, configured to validate a branch instruction execution and an entry point instruction of each control transfer, selectively dependent on the respective metadata tags.

Secure processor for detecting and preventing exploits of software vulnerability

A system, and method for controlling a computing system, comprising: reading a stored energy-performance characteristic of a plurality of different phases of execution of software, an execution of each phase being associated with a consumption of a variable amount of energy in dependence on at least a processing system performance state, the performance state being defined by a selectable performance-energy consumption optimization for at least two processing system components; scheduling a plurality of phases of execution of the software, in dependence on the stored energy-performance characteristics, for each of the respective phases of execution of the software and at least one system-level energy criterion; and executing the phases of execution of the software in accordance with the scheduling.

Energy efficient scheduling for computing systems and method therefor

A wearable self-contained Smart ECG Sensor Patch (SEP) is provided for acquiring, analyzing and transmitting ECG data, heart rate and heart rate variability (heart rate variability) parameters to a host device via a secure Bluetooth low energy link. SEP incorporates all circuitry for acquisition, analysis and communication, and a battery on a small flexible substrate with two gold electrodes on the reverse side. Prior to on-board analysis, noise and motion artifacts are detected and ignored. SEP has been validated with archived ECG signals and testing on human subjects. The continuous acquisition and unique on-board analytics permit SEP to be used for prolonged monitoring scenarios with automatic alarm generations. SEP's aggressive power management techniques enable it to operate on a single coin battery for up to 250 hours. SEP suppresses transmissions of artifact data, which reduces power consumption.

Low-power wearable smart ECG patch with on-board analytics

Detecting and preventing exploits of software vulnerability using instruction tags

Energy-efficient global scheduler and scheduling method for managing a plurality of racks

Trustworthy systems require that code be validated as genuine. Most systems implement this requirement prior to execution by matching a cryptographic hash of the binary file against a reference hash value, leaving the code vulnerable to run time compromises, such as code injection, return and jump-oriented programming, and illegal linking of the code to compromised library functions. The Run-time Execution Validator (REV) validates, as the program executes, the control flow path and instructions executed along the control flow path. REV uses a signature cache integrated into the processor pipeline to perform live validation of executions, at basic block boundaries, and ensures that changes to the program state are not made by the instructions within a basic block until the control flow path into the basic block and the instructions within the basic block are both validated.

Growing community of inventors

Vestal, NY, United States of America

Kanad Ghose