3891 results about "Solid-state" patented technology

The invention relates to the field of solid state disk fault prediction, in particular to a solid state disk fault prediction method and system based on artificial intelligence. The method comprises the following steps: carrying out storage unit fine-grained division on the solid state disk, carrying out storage unit serialization, and constructing a storage unit sequence of each partition; obtaining a solid state disk running log; carrying out multi-time-point state evolution on the storage unit sequence of each partition based on a solid state disk running log, and carrying out deep dynamic evolution learning to generate a state evolution rule of each storage unit; periodic access load peak calculation is carried out on the solid state disk running log, so that a simulation access data packet of each storage unit is generated; and performing dynamic pressure access simulation based on the state evolution rule of each storage unit and the simulation access data packet of each storage unit to obtain response state evaluation data of each storage unit. According to the invention, efficient and accurate solid state disk fault prediction is realized.

The invention relates to the technical field of hard disk testing and verification, in particular to a multi-thread-based solid state disk reliability automatic testing method and system.The method comprises the steps that firstly, SMART information is deeply analyzed through microsecond-level high-granularity continuous performance monitoring, and multi-thread parallel processing is assisted; according to the method, fine performance fluctuation of the solid state disk under the concurrent load can be quickly captured, a fault mode can be identified, then early warning is realized by utilizing the extracted multi-dimensional features and a machine learning model, and a detailed fault diagnosis report is generated; and through dynamic error correction code strength verification and data integrity verification under pressure, an internal error correction mechanism of the solid state disk is actively detected and optimized. And finally, in combination with prediction reliability modeling, the system can estimate the remaining service life and predict faults, and provides product optimization suggestions for design, manufacturing and firmware optimization of the solid state disk, so that automation, intelligence and full life cycle management of the fault detection reliability of the solid state disk are realized.

The invention relates to the technical field of solid state disks, and discloses a load collaborative scheduling method and system for a solid state disk, and the method comprises the steps: carrying out the data collection of a main controller of the solid state disk, and obtaining the original feature data; a Kolmogorov-Arnold neural network is input to carry out nonlinear feature transformation and linear combination operation, and a load prediction result is obtained; performing hierarchical processing to obtain a hierarchical scheduling model; constructing a multi-objective optimization function and carrying out constraint setting to obtain a constraint optimization equation set; performing convex difference function decomposition and augmented Lagrange function construction on the constraint optimization equation set, and solving through an alternating direction iteration method to obtain a scheduling decision scheme; according to the scheduling decision scheme, load balancing control is carried out on data write-in physical address allocation, data read cache scheduling and multi-channel parallel transmission, a real-time performance monitoring index is obtained, and the method realizes load collaborative scheduling of the solid state disk.

The invention relates to the technical field of hard disk life prediction, and discloses a solid state disk life prediction method, which comprises the following steps: collecting multi-source data of a solid state disk, the multi-source data comprising health state data, I / O load data and environmental data of the solid state disk; preprocessing the multi-source data; calculating a health score of the solid state disk based on the preprocessed multi-source data, and establishing a prediction model by using the health score and the time sequence data; based on comparison between the prediction result and a set threshold value, an early warning signal is triggered according to a comparison result; and optimizing the prediction model in real time based on the comparison between the prediction result and the actual service life. By collecting the multi-source data, including the health state, the I / O load and the environment data, of the solid state disk, the problem that tiny differences of the hard disk under different operation conditions are ignored in an existing method is solved. Compared with a traditional method, the method has the advantage that the prediction accuracy is greatly improved.

The invention discloses a knowledge graph-based method for accurately positioning and breaking through discipline weak points, which comprises the following steps of: predicting knowledge points possibly accessed by students in the next step by using a deep learning model based on an updated knowledge graph, capturing a multi-dimensional dependency relationship among the knowledge points through a graph neural network, and combining historical learning track data of the students to obtain a knowledge point database; generating a personalized learning resource recommendation list; dynamically adjusting the priority of the recommendation list according to the comprehensive association degree of the subject weak point and the key path, and improving the priority of the knowledge point of the key path highly associated with the subject weak point; and according to the priority of the recommendation list, adopting a multi-level caching strategy to pre-cache learning resources, maintaining a hotspot knowledge point index in a memory, storing secondary hotspot resources in a solid state disk, storing cold data in a mechanical hard disk, and dynamically adjusting cache content of each level through a cache replacement algorithm.

The invention discloses a solid state disk data reading method and system, a storage medium and a program product, and the method comprises the steps: calculating a temperature change rate and a temperature accumulation effect coefficient of a to-be-read data block according to a current temperature value and a historical temperature record; dividing the physical page address into a plurality of subintervals, and determining a loss level; calculating an initial reading voltage threshold value; compensating the initial reading voltage threshold value to obtain a target reading voltage threshold value; performing parallel reading on the to-be-read data block by adopting the target reading voltage threshold value to obtain original reading data; performing crosstalk correction on the original read data to obtain corrected data; when the reliability verification result of the corrected data of any subinterval is lower than a preset threshold value, error correction processing is carried out; and updating the loss level of the sub-interval according to the verification result of the reliability verification, and re-dividing the sub-interval of the data block to be read. The data reading delay is reduced, and the performance of the solid state disk in a scene of frequently reading small files is improved.

The invention relates to a state evaluation method and device of a solid state disk, a storage medium and a program product, and belongs to the technical field of storage, and the method comprises the following steps: obtaining related parameter information of the solid state disk, and preprocessing the related parameter information to obtain a first target data feature; according to a joint probability distribution value between the historical merged data features and the health degree, determining a correlation degree between the historical merged data features and the health degree, and according to the correlation degree, screening out a second target data feature from the first target data features; determining a health score corresponding to the second target data feature based on a health score calculation function; and determining a state evaluation result of the solid state disk according to the health score corresponding to the second target data feature, and visually displaying the state evaluation result. According to the method, the accuracy of state evaluation of the solid state disk is improved, and the risk of data loss or server downtime caused by solid state disk faults is effectively reduced.

The invention relates to the technical field of hard disk security protection, in particular to a security risk protection method and system for a mobile solid state disk. The method comprises the following steps: acquiring newly written data of the mobile solid state disk; performing multi-segment data decomposition on newly written data of the mobile solid state disk, performing independent data encapsulation, and constructing a plurality of data clusters; performing random out-of-order arrangement on the plurality of data clusters, and performing random idle allocation storage to generate data cluster random storage data; generating a random initial encryption key based on newly written data of the mobile solid state disk; based on the random initial encryption key, carrying out distributed storage architecture construction on the data cluster random storage data, and constructing a distributed encryption storage framework; when the access of the mobile solid state disk is identified, acquiring a hard disk work log; and performing access behavior response detection on the hard disk work log, performing abnormal access behavior speculation, and extracting abnormal access behavior data. According to the invention, high-safety and rapid hard disk risk protection is realized.

The invention relates to the technical field of intelligent temperature control, in particular to a solid state disk intelligent temperature control method and system based on edge computing. The method comprises the following steps: acquiring solid state disk array data; performing array topology analysis on the solid state disk array data to generate solid state disk array topology data; performing initial self-organizing heat dissipation network construction on the solid state disk array data based on the solid state disk array topological data to obtain an initial self-organizing heat dissipation network; edge computing node deployment is carried out on the initial self-organizing heat dissipation network, and temperature data of the solid state disk are collected according to edge computing nodes; and network heat conduction path optimization is carried out on the initial self-organizing heat dissipation network through the temperature data, and a self-organizing heat dissipation optimization network is generated. According to the invention, through self-organization of the heat dissipation network, edge calculation optimization, thermal-electric mode conversion and long-term prediction, SSD array-level intelligent temperature control is realized, and the heat dissipation efficiency, the response speed and the long-term stability are improved.

The invention relates to a porous structure manufactured through laser powder bed melting additive manufacturing, in particular to a gradient porous structure with excellent mechanical property and functionality and an LPBF self-adaptive input manufacturing method of the gradient porous structure. According to the method, basic geometric parameters and gradient characteristics of the gradient porous structure are defined by utilizing Grasshopper parameterization design software. A gradient porous structure with excellent mechanical properties and functionality is generated through a grasshopper plug-in of software, and smooth transition from a solid state to a porous state is achieved. An LPBF technology is adopted and combined with an angle partitioning strategy, the gradient porous structure is melted layer by layer, the gradient porous structure is partitioned according to the strut suspension angle on the basis of optimizing process parameters, the optimized process parameters are applied to a model of the partitioned region, and the gradient porous structure is obtained. Scanning of each layer of the overhanging supporting columns at different angles is in appropriate laser parameter input, and the problems of deformation and high porosity caused by heat accumulation in the LPBF process are effectively solved.

The invention discloses a solid state disk testing method and system, a storage medium and a program product, and relates to the field of computer storage testing, and the method comprises the following steps: dividing a storage space of a solid state disk to be tested into a plurality of physical areas; determining the number of read-write tests of the to-be-tested solid state disk within a preset duration at a preset temperature; performing read-write test operation on the plurality of physical areas in sequence within a preset duration to obtain read-write error rates respectively corresponding to the plurality of physical areas, the number of read-write times of the read-write test operation being the number of read-write test times; if the read-write error rates corresponding to the physical areas exceeding the preset number are higher than a preset error rate threshold value, determining that the to-be-tested solid state disk is unqualified; and if the read-write error rates corresponding to the physical areas lower than the preset number are lower than a preset error rate threshold, determining that the to-be-tested solid state disk is qualified. By implementing the method, the specific problem area in the solid state disk can be positioned and diagnosed more accurately, so that the quality evaluation standard and the maintenance efficiency of the whole solid state disk are improved.

The invention relates to the technical field of solid state disk performance evaluation. The solid state disk performance evaluation method comprises the steps of obtaining solid state disk operation information, conducting exception analysis on the solid state disk operation information through a deep learning model to obtain solid state disk exception information, conducting correction and interpolation on the solid state disk exception information, and obtaining the solid state disk performance evaluation result. Performing feature extraction on the corrected operation information to obtain a plurality of performance features of the solid state disk, screening the plurality of performance features based on a feature selection method to obtain a target feature set required by performance evaluation, and analyzing the target feature set required by performance evaluation through a time sequence prediction model. Obtaining performance change trend information under different loads, predicting the residual life and the performance degradation condition of the solid state disk according to the performance change trend information, and obtaining a performance evaluation result. The method has the effect of improving the performance evaluation accuracy of the solid state disk.

The invention discloses a solid state disk pre-reading method and device based on host I / O software and a medium. According to the method, through deep collaboration between the host I / O software and the solid state disk, multi-dimensional context information such as application program running, user operation and system resources is accurately perceived, and then the pre-reading strategy of the solid state disk is dynamically optimized. Various kinds of context information are collected through host I / O software and then transmitted to the solid state disk, the solid state disk analyzes and processes the context information by means of a machine learning technology so as to predict subsequent pre-access related parameters, so that a pre-reading strategy is correspondingly and dynamically adjusted, a cache management mechanism is matched, pre-read data better meet actual requirements, and the pre-read data are more accurate. The hit rate of pre-reading is improved, the overall data reading efficiency is improved, and the data reading speed is remarkably increased.

The invention discloses an SSD testing method, system, device and equipment and a storage medium, and relates to the technical field of solid state disk testing, and the method comprises the steps that firstly, a test request is responded, and a standardized test environment is constructed by deploying a test environment mirror image; and then an iterative testing process is executed on the SSD to be tested in the environment. The key of the iterative test process is that the real-time performance of the SSD to be tested in each round of test can be obtained, and the performance is compared with a preset performance standard. When a comparison result meets a specific condition, the system automatically adjusts and optimizes execution parameters used in the next round of test. According to the method and the device, the dynamic association between the performance indexes and the subsequent test parameters is established, so that the test process can be self-adjusted according to the actual performance of the SSD to be tested, and the limitation caused by the fact that the test parameters are fixed in the prior art is overcome.

The invention provides a cold plate type full liquid cooling server system and a cooling method. The server system comprises at least one server node, a case, a middle back plate and a solid state disk module. The server node at least comprises a memory cold plate, a CPU / GPU cold plate module, an IO cold plate, a power supply cold plate and a power supply rear heat exchanger; the server node is arranged in the case, and the server node and the solid state disk module are respectively connected with the middle backboard. The solid state disk module is connected with a solid state disk cold plate provided with a hard disk module locking mechanism; and cooling the solid state disk module through the solid state disk cold plate. A server node is subjected to liquid cooling through a memory cold plate, a CPU / GPU cold plate module, an IO cold plate, a power supply cold plate and a power supply rear heat exchanger, so that cold plate type liquid cooling completely covers a data center, the cooling cost of the data center is reduced, the complexity of a cooling system is reduced, and the heat exchange efficiency of the server node is improved; noise of the data center is reduced, and environmental adaptability of the data center is improved.

The invention discloses a solid state disk management system and a data processing method, and relates to the technical field of solid state disk management. Flexible task scheduling and resource management are provided through a lightweight operating system module, and a computing task program defined by a user is supported to be dynamically loaded; edge computing or machine learning operators are efficiently executed in combination with a programmable hardware processing unit and a DMA channel of the computing acceleration engine module, the data preloading module is utilized to predict and preload data to DDR based on LBA access history, access delay is reduced, an NVMe protocol is expanded by means of the task unloading interface module, host task issuing and result returning are achieved, and the data processing efficiency is improved. And hardware-level memory protection is ensured through the security isolation module, so that the data calculation processing capacity of the solid state disk is remarkably improved, localized calculation tasks such as edge calculation and machine learning are supported, mass data transmission is effectively reduced, and bus and network loads are relieved.

The invention discloses a solid state disk data processing method and device, a storage medium and a program product, and relates to the field of electrical digital data processing.The method comprises the steps that a network data transmission request is obtained, a network bandwidth state corresponding to the network data transmission request is detected, and bandwidth state parameters are generated according to the network bandwidth state; calculating a data transmission time consumption predicted value, and determining a buffer capacity threshold according to the data transmission time consumption predicted value; adjusting the capacity of the data buffer area according to the buffer area capacity threshold, and adjusting the data buffer area; monitoring the data occupancy rate of the adjusted data buffer area, and when the data occupancy rate is lower than a preset occupancy rate threshold value, calculating an idle time window of the target solid state disk according to the network bandwidth state; determining a target power consumption mode of the target solid state disk according to the duration of the idle time window; and controlling the target solid state disk to enter the target power consumption mode in the idle time window. By implementing the application, the energy consumption of the solid state disk can be reduced.

The invention discloses a solid state disk bad block wear balancing method and system, a medium and a program product, and relates to the field of electrical digital data process.The method comprises the steps that a storage area of a solid state disk is divided into a plurality of sub-areas, and a sub-area distribution table is generated; establishing a data block rotation link in each sub-region based on the sub-region distribution table and recording the data block rotation link as a rotation sequence table; executing a data block rotation operation according to a preset period, and recording a wear state of each sub-region; when a newly added bad block is detected, marking the sub-region containing the bad block as a to-be-migrated source region in the sub-region distribution table; determining a target region from other sub-regions according to the number of bad blocks and wear states recorded in the sub-region distribution table, and establishing a mapping relationship between the to-be-migrated source region and the target region; and migrating the data in the to-be-migrated sub-region to the target region according to the sequence in the rotation sequence table based on the mapping relationship and the rotation sequence table. The utilization efficiency of the standby block is improved, and the service life of the solid state disk is further prolonged.

The invention relates to the technical field of solid state disk energy consumption analysis, in particular to a solid state disk energy consumption prediction method and system based on deep learning. The method comprises the following steps: obtaining a solid state disk drive running log; performing hard disk energy consumption comprehensive evaluation on the running log of the solid-state hard disk driver to generate solid-state hard disk energy consumption data; obtaining a plurality of user request behavior data based on the solid state disk driver running log, and performing read-write energy consumption calculation according to the energy consumption data of the solid state disk so as to obtain energy consumption data of each hard disk read-write operation behavior; performing multi-period hard disk read-write operation identification on the plurality of user request behavior data, and performing read-write logic implicit association learning to generate user read-write logic association features; time window division is carried out on the solid state disk drive operation logs based on the user read-write logic association features, and a plurality of potential behavior prediction scenes are constructed. According to the method, accurate and efficient energy consumption prediction of the solid state disk is realized.

The invention discloses a method, system and equipment for monitoring the running state of a solid state disk and a storage medium, and belongs to the technical field of monitoring the running state of the solid state disk, and the method comprises the following steps: S1, monitoring core indexes during running of different solid state disks, including a health degree index, a performance index and an environment and hardware index; field mapping tables are established for different models of solid state disks, and SMART attributes of different manufacturers are uniformly converted into self-defined indexes; the main control temperature, the writing speed, the reading error rate and the environment temperature are combined, and the temperature values of different areas of the NAND are predicted; and the temperature, the voltage and the write-in magnification are combined to correct the residual life of the solid state disk. According to the method, the SMART attribute indexes are unified, the NAND temperature is accurately predicted, and the service life is predicted in combination with multiple factors, so that the operation and maintenance efficiency of the solid state disk can be effectively improved, and a safety guarantee is provided for stable operation of the solid state disk.

The invention discloses an SSD (Solid State Disk) testing method, which relates to the technical field of SSDs, and comprises the following steps: an SSD is connected to testing equipment, and the testing equipment comprises a controller, a data generation module, a data transmission module, a data storage module and a performance monitoring module; specific types of test data are generated through a data generation module, the specific types of test data comprise sequential read-write data, random read-write data and mixed read-write data, the file size of the sequential read-write data is within the range of 1GB-10GB, the operation block size of the random read-write data is within the range of 4KB-64KB, and the file size of the mixed read-write data is within the range of 4KB-64KB. The ratio of sequential read-write to random read-write in the mixed read-write data ranges from 1: 1 to 3: 1, the test data further comprises multiple file formats including but not limited to text files, image files, video files and audio files, and the data size of each file format accounts for 10%-30% of the total test data size; the SSD performance can be accurately evaluated, and the performance evaluation standard is perfected.

The invention discloses an SSD (Solid State Disk) cache management method, which relates to the technical field of SSDs, and comprises the following steps: step 1, cache space division: the cache space of the SSD is divided into a plurality of different types of sub-cache regions, and each sub-cache region at least comprises a hot data cache region, a cold data cache region and an intermediate data cache region; 2, data popularity monitoring: monitoring the access frequency of the data stored in the SSD in real time, judging the popularity level of the data according to the access frequency, judging the data with the access frequency higher than a set threshold as hot data, judging the data with the access frequency lower than another set threshold as cold data, and judging the data between the hot data and the cold data as intermediate data; 3, data cache allocation: according to the heat level of the data, storing hot data into a hot data cache region, storing cold data into a cold data cache region, and storing intermediate data into an intermediate data cache region; the cache utilization rate and the read-write performance are comprehensively improved, and the delay is reduced.

The invention relates to a power consumption and energy efficiency testing method for a solid state disk, a storage medium and a program product. The method comprises the steps that under the condition that the solid state disk meets a first test condition, aiming at each test state in multiple test states of the solid state disk, power consumption parameters of the solid state disk are collected at multiple collection moments, and power consumption test results of the solid state disk in the test states are obtained; for each energy efficiency index in a plurality of energy efficiency indexes of the solid state disk, under the condition that the solid state disk meets a test state corresponding to the energy efficiency index, values of the energy efficiency indexes are respectively collected at a plurality of sampling moments, and index values of the energy efficiency indexes at the plurality of sampling moments are integrated; obtaining an energy efficiency test result of the solid state disk under the energy efficiency index; and obtaining a power consumption and energy efficiency test result of the solid state disk based on the power consumption test result and the energy efficiency test result. By adopting the method, comprehensive and accurate testing of power consumption and energy efficiency of various types of solid state disks in a complex scene can be realized.

The invention discloses a solid state disk performance fluctuation test method, device and equipment and a storage medium, and relates to the technical field of performance tests.A corresponding test action sequence is generated according to a performance test instruction, a plurality of test actions are organized into a standard test process capable of being repeatedly executed, and the performance fluctuation test efficiency is improved. The influence of the difference of manual test operation execution on the test result is eliminated, the performance fluctuation test result of the to-be-tested solid state disk is calculated based on the storage performance index of the to-be-tested solid state disk in the test action sequence execution process, and objective evaluation of the performance fluctuation of the solid state disk is realized on the basis of sufficient data support. The automation and standardization of the test are realized from the two aspects of the test process and the result evaluation, and the efficiency and accuracy of the test are improved.

The invention discloses a solid state disk controller, a solid state disk and a storage system, and relates to the technical field of storage, and the solid state disk controller comprises a communication endpoint unit which is used for determining a target working mode according to a control instruction sent by host equipment; if the target working mode is an exclusive-or accelerator mode, calling an exclusive-or computing engine, and processing a direct-connection disk management operation task issued by the host equipment; wherein the direct connection disk management operation task comprises a parity check operation task corresponding to disk equipment connected with the host equipment; the XOR calculation engine is used for carrying out operation processing on the direct connection disk management operation task according to the control of the communication endpoint unit; hardware acceleration of the RAID function of the host equipment is achieved through the solid state disk controller in the solid state disk connected with the host equipment, the burden of a host CPU is relieved, special hardware equipment does not need to be additionally arranged, and balance of high performance and low cost is achieved.

The invention discloses a multi-NS traffic control method and device for a solid state disk, and a storage medium. The method comprises the following steps: configuring an initial token parameter for each IO path based on a token bucket algorithm; associating the plurality of NS with the plurality of IO paths one by one so as to determine an association relationship between each NS and each IO path; receiving a target NS input by the host and a target flow control parameter corresponding to the target NS; searching a target IO path corresponding to the target NS according to the association relationship; configuring the target flow control parameter into the target IO path, and updating the initial token parameter according to the target flow control parameter to determine a target token parameter; receiving an IO service issued by the host; and processing the IO service and carrying out flow limitation on the IO service according to the target token parameter. According to the method and the device, the resource efficiency, the performance balance and the performance stability of the solid state disk in a multi-NS scene are improved.

The invention discloses a large language model reasoning method based on an unloading pipeline, and the method comprises the steps: obtaining an optimal unloading reasoning strategy through calculation according to the obtained model structure information and model configuration information of a large language model, and the hardware specification information and system operation load information of reasoning equipment; and then tasks in the optimal unloading reasoning strategy are scheduled through a fine-grained pipeline to output an unloading reasoning result of the large language model. According to the method, reasoning tasks are automatically configured according to input large language model information and a system hardware environment, and hardware resource use and reasoning performance are optimized. For deployment of a large language model on local equipment, transmission optimization is carried out for unloading using a solid state disk, so that the data transmission speed is increased. Meanwhile, fine-grained assembly line task scheduling is carried out for unloading reasoning, and the reasoning concurrency and the model throughput can be remarkably improved through unloading reasoning of an assembly line model.

The invention relates to the technical field of energy power, in particular to a vehicle power system based on a solid hydrogen pool, a passenger vehicle and a control method. The vehicle power system comprises a power driving module, a fuel cell module, a solid hydrogen pool module, a heat dissipation module and a whole vehicle control module. The fuel cell module comprises a cell stack unit, a hydrogen feeding and discharging unit, an air feeding and discharging unit and a tail discharging unit, and the cell stack unit is electrically connected with the power driving module. The solid hydrogen pool module comprises a solid hydrogen storage unit, a water supply unit and a hydrogen release buffer unit. The heat dissipation module is in butt joint with the cell stack unit and the solid hydrogen storage unit, and the whole vehicle control module is in communication connection with the power driving module, the fuel cell module and the solid hydrogen pool module. The passenger vehicle comprises a vehicle power system. The fuel cell module based on the solid hydrogen pool module is used for stably supplying power to the power driving module, so that power is provided for the passenger car, and the endurance requirement of the passenger car is met.

The invention relates to the technical field of distributed storage, and discloses a data caching method, computer equipment, a storage medium and a program product, and the method comprises the following steps: obtaining a name of a to-be-read object and a to-be-read data range of the to-be-read object; judging whether a key value which is the same as the name of the to-be-read object exists in a preset hash data structure or not; if the preset Hash data structure does not exist in the to-be-read data range, reading corresponding data from the system main memory based on the to-be-read data range, returning the data to the client, and updating the preset Hash data structure and the window cache; judging whether the ratio of the used capacity of the window cache to the total capacity exceeds a first ratio threshold value or not; if so, acquiring a first eliminated cache object in the window cache; obtaining the access frequency of the first eliminated cache object, and screening out a target cache object of which the access frequency is greater than the access frequency of a tail cache object of a first linked list in the main cache from the first eliminated cache object; and caching the target cache object to a main cache. The service life of the solid state disk is prolonged.

Various novel heat exchange components which are designed and / or configured to effectively and efficiently dissipate thermal energy (heat) away from a heat source are described. The heat exchange component structures may be a composite formed of two or more distinct types of materials including a thermally conductive material and a solid state (SS) Martensitic transformation (MT) phase change material (PCM). The thermally conductive material may be configured so as to form or provide for: (i) a heat receiving section configured to be in contact with a heat source so as to receive thermal energy from the heat source, and (ii) a thermal energy spreading section configured to pull thermal energy away from the heat receiving section and distribute it into and / or throughout the entire the heat exchange structure, especially, into and / or through the SS MT PCM.