electronic devices have become an essential part of daily life . the small size of computing devices allows them to be easily portable and even wearable . wearable devices , are unobtrusive for the wearer , as they are small and light weight . advances in electronic technology allow for devices to communicate and exchange data . many devices have ‘ smartness ’ features enabling such devices to be programmed to operate in different modes . for example , devices may be programmed for a fixed routine providing various operations ( i . e ., start , stop , etc .). for instance , at a predetermined time , powering on an air conditioner and / or heater , to make the environment comfortable when the user arrives . similarly , in another instance , at a predetermined time , powering on an oven ( with food already in it ), such that a meal will be ready when the user returns home from a day at work . such devices may even be started on an occurrence of a particular event . for instance , a water pump may engage and fill a water tank on sensing a low water level . with wide spread of the internet of things ( iot ), there is an emergence of new abilities to control consumer devices using applications that are installed on smart devices ( referred to hereinafter as ‘ app ’). the iot is the network of physical objects ( devices ) containing electronic sensors , software and network connectivity , which enable the physical objects to collect and exchange data with other physical devices and / or electronic systems . the iot , through a network infrastructure , allows objects to be sensed and controlled remotely , integrating physical objects with electronic computer systems . in an exemplary embodiment of the present invention , iot may be used to monitor and control various mechanical and electrical systems used in one &# 39 ; s home . for example , iot may be used to improve a person &# 39 ; s personal comfort , convenience , and security by controlling lighting , heating , ventilation , air conditioning , appliances , communication systems , and home security systems . for instance , utilizing a device &# 39 ; s tracking information , such as location of a user , an app may help automatically activate one or more consumer devices at home on meeting pre - determined criteria . embodiments of the present invention provide systems and methods to automatically utilize a wearable device by receiving and analyzing inputs for various user parameters activities , and then accordingly controls / programs the iot enabled appliances used by the user to ensure that the health profile of the user is maintained . additionally , embodiments of the present invention provide systems and methods to automatically control the iot if the user &# 39 ; s normal routine is altered in order to improve the user &# 39 ; s personal comfort , and / or physiological health . embodiments of the present invention derive different user activities that directly and / or indirectly relate with the health of the user , and through iot influence the functioning of smart appliances to benefit the user &# 39 ; s health . the user &# 39 ; s health may be determined from the body temperature of the user . it is to be understood that while the concepts included herein are presented in the context of a wearable device , the concepts disclosed herein may be applied in other contexts as well if the appropriate hardware is available . the present invention will now be described in detail with reference to the figures . fig1 is a functional block diagram illustrating a data processing environment , in accordance with an embodiment of the present invention . fig1 provides only an illustration of one embodiment and does not imply any limitations with regard to the environments in which different embodiments may be implemented . many modifications to the depicted environment may be made by those skilled in the art without departing from the scope of the invention , as recited by the claims . in the depicted embodiment , environment 100 includes server 120 , smart appliance 130 , wearable device 140 , all interconnected over network 110 . server 120 , smart appliance 130 and wearable device 140 may include internal and external hardware components , as depicted and described in further detail with respect to fig4 . network 110 may be a local area network ( lan ), a wide area network ( wan ), such as the internet , the public switched telephone network ( pstn ), a mobile data network ( e . g ., wireless internet provided by a third or fourth generation of mobile phone mobile communication ), a private branch exchange ( pbx ), any combination thereof , or any combination of connections and protocols that will support communications between server 120 , smart appliance 130 , and wearable device 140 , in accordance with embodiments of the invention . network 110 may include wired , wireless or fiber optic connections . environment 100 may include additional computing devices , servers or other devices not shown . in the exemplary embodiment , server 120 is a server computer . in other embodiments , server 120 may be a management server , a web server or any other electronic device capable of receiving and sending data . in another embodiment , server 120 may represent a server computing system utilizing multiple computers as a server system , such as in a cloud computing environment . server 120 contains dynamic user program 122 , and information repository 124 . in the various embodiments of the present invention , dynamic user program 122 receives various data , for example geographical and physiological of a user , and determines how to improve the user &# 39 ; s personal comfort , and / or physiological health corresponding to the detected received data . dynamic user program 122 may track geological locations and physiological conditions of the user via sensor ( s ) 142 in wearable device 140 . dynamic user program 122 operates generally to control smart appliance 130 based on a user &# 39 ; s geological location and physiological condition . dynamic user program 122 analyzes all information contained in information repository 124 relating to a specific user &# 39 ; s wearable device 140 . while depicted on server 120 , in the exemplary embodiment , dynamic user program 122 may be located on wearable device 140 , maintaining and managing smart appliances 130 . in an embodiment dynamic user program 122 receives various data , for example geographical and physiological of a user . dynamic user program 122 may analyze data received from sensor ( s ) 132 and sensor ( s ) 142 . dynamic user program 122 may analyze data received from additional sensor ( s ) not show in environment 100 . dynamic user program 122 , may for example intelligently track numerous aspects of a user based on information received from sensor ( s ) 142 . utilizing at least one sensor ( s ) 142 , the wearable program may detect various geographical and physiological aspects of a user , which correlate to specific predetermined activity . for example , dynamic user program 122 may detect a routinely occurring activity pattern for a specific day , date and / or time . thereby if the user breaks from his regular routine , dynamic user program 122 will automatically adjust smart appliance 130 accordingly . in another example , dynamic user program 122 may detect a spike in a user &# 39 ; s physiological condition , and automatically adjust smart appliance 130 to assist the user accordingly . for example , if a user &# 39 ; s heartrate and temperate rise , dynamic user program 122 may determine a user is working out and automatically adjust the thermostat at the user &# 39 ; s house to best suit the user . in another example , sensors determine that the user is sleeping , dynamic user program 122 may derive a specific meal to eat when the user wakes up conforming to the user &# 39 ; s health profile as provided by a dietitian . dynamic user program 122 may include a user interface allowing a user to interact with the program and set baseline parameters . the user interface may be a graphical user interface . for example , the graphical user interface may include a dashboard to view a listing of all registered smart appliances , ability to remove a smart appliance , ability to add a new smart appliance as well as details of the user &# 39 ; s physiological parameters . information repository 124 may include any suitable volatile or non - volatile computer readable storage media , and may include random access memory ( ram ) and cache memory ( not depicted in fig1 ). dynamic user program 122 may be stored in a persistent storage component ( not depicted ) for execution and / or access by one or more of processor ( s ) via one or more memories ( for more detail refer to fig4 ). alternatively , or in addition to a magnetic hard disk drive , the persistent storage component can include a solid state hard drive , a semiconductor storage device , read - only memory ( rom ), erasable programmable read - only memory ( eprom ), flash memory , or any other computer readable storage media that is capable of storing program instructions or digital information . information repository 124 can be implemented using any architecture known in the art such as , for example , a relational database , an object - oriented database , and / or one or more tables . information repository 124 stores actual , modeled , predicted , or otherwise derived patterns of movement based on sensor data . for example , information repository 124 stores all information received from wearable device 140 . information repository 124 may contain lookup tables , databases , charts , graphs , functions , equations , and the like that dynamic user program 122 may access to both maintain a specific parameter as well as manipulate various parameters on smart appliance 130 . information stored in information repository 124 may include : various geographical locations , specific physiological actions linked to the various geographical locations , various user patterns , and the like . while depicted on server 120 , in the exemplary embodiment , information repository 124 may be on a remote server or a “ cloud ” of computers interconnected by one or more networks utilizing clustered computers and components to act as a single pool of seamless resources , accessible to dynamic user program 122 via network 110 . in the various embodiments of the present invention , smart appliance 130 represents any physical object of the iot which may be controlled to affect the physiological wellbeing of a user , and / or to increase the overall environment efficiency by minimizing wasted electricity . it is noted that although fig1 depicts only one smart appliance 130 , there can be numerous smart appliances receiving commands from dynamic user program 122 . for example , smart appliance 130 many include a user &# 39 ; s oven , car , smart phone , smart tv , heating air conditioning and ventilation ( hvac ) equipment , etc . smart appliance 130 is controlled by dynamic user program 122 . in the various embodiments of the present invention , smart appliance 130 may represents an air conditioning unit , a heating unit , a ventilation system , cooking equipment or any other type of object associated with the iot . smart appliance 130 includes sensor ( s ) 132 . sensor ( s ) 132 detect and / or measure various environmental aspects in or around smart appliance 130 . utilizing the iot , sensor ( s ) 132 detects aspects of the physical world , and integrates such measurements into the electronic system . in an embodiment of the present invention , sensor ( s ) 132 may detect the ambient temperature of smart appliance 130 , and transmit such information to dynamic user program 122 . for example , if dynamic user program 122 determines that the temperature of a user &# 39 ; s house needs be at a specific level in order to maintain the user &# 39 ; s ideal physiological temperature , then through sensor ( s ) 132 , dynamic user program 122 will know either to change ( raise or lower the temperature ) or maintain the current temperature of smart appliance 130 . smart appliance 130 allows for automatic customization by dynamic user program 122 . for example , smart appliance 130 may be controlled via a thermostatic control interface for an air conditioning or heating unit , wherein dynamic user program 122 can raise or lower the environmental temperature based on the user &# 39 ; s determined geographical and / or physiological need . in another example , smart appliance 130 may be controlled via thermostatic control interface for an oven , wherein dynamic user program 122 can raise the oven temperature based on the user &# 39 ; s determined geographical and / or physiological need . in the various embodiments of the present invention , wearable device 140 represents wearable devices . for example , wearable device 140 might be smart watches , capable of detecting various inputs and transmitting data to server 120 . wearable device 140 may be multi - purpose devices that , for example , include a telephone , or digital music player , a fitness tracker , a ring , etc . examples of wearable device 140 include , but are not limited to , a ring , a bracelet , a wristband or a wristwatch . generally , wearable device 140 is wearable and able to detect various geographical and physiological aspects of the user . in an exemplary embodiment , wearable device 140 is a device worn by a user . wearable device 140 includes sensors ( s ) 142 . wearable device 140 may be provided in various form factors and may be designed to be worn in a variety of ways . in some embodiments of the present invention , a wearable device 140 is a smart watch . a smart watch is a computerized wristwatch with functionality that is enhanced beyond mere time keeping ; rather a smart watch is essentially a wearable computer . many smart watches can run applications , while others contain additional capabilities , for example , making and receiving phone calls , replacing a traditional smart phone . in other embodiments of the present invention , a wearable device 140 is a wrist band . in an embodiment , wearable device may include a user interface ( not show ), allowing the user to override , if necessary , dynamic user program 122 . a user interface may include a graphical user interface . sensor ( s ) 142 sense , detect and / or measure various movements and physiological conditions of a user . for example , sensor ( s ) 142 might detect motion of the user , via accelerometers , gyroscopes etc . similarly , sensor ( s ) 142 may include access to a global positioning system ( gps ) allowing dynamic user program 122 to determine the exact location and speed of travel of the user . additionally , sensor ( s ) 142 may detect physiological aspects of the user such as body temperature , heart rate , blood pressure , and the like . sensor ( s ) 142 may be any sensor or sensor system known in the art to assist dynamic user program 122 in determining aspects of the user , in order ensure the health of the user . one of ordinary skill in the art will appreciate that any arrangement of input sensors may be included on wearable device 140 to receive data of the user . sensors 142 of wearable device 140 may include , but are not limited to , accelerometers , gyroscope , thermometer , altimeter , barometer , compass , location determining device ( e . g ., gps ), proximity sensors , motion detectors , touch sensors , or the like . as one skilled in the art may see , any sensor or sensor combination in wearable device 140 may be used without deviating from the invention , as sensor ( s ) 142 permit a user to interact with wearable device 140 . wearable device 140 may include an information repository as well as additional components not shown . in an embodiment , wearable device 140 may leverage other devices external to the wearable device such as a mobile phone or a personal computer . for example , wearable device 140 may access a user &# 39 ; s smart tv to determine how much television the user watched and recommend low calorie food as the user may have been inactive for a period of time . the concepts disclosed and discussed herein , may be applied to both , a standalone wearable device ( similar to that of wearable device 140 ), as well as a wearable device that leverages functionalities provided in external devices , e . g ., smartphones , wireless headphones , etc . reference is now made to fig2 a and fig2 b . fig2 a is flowchart 200 a illustrating operational steps for coordinating appliance profiles , in accordance with an embodiment of the present invention . fig2 b is flowchart 200 b illustrating operational steps for controlling a user &# 39 ; s environment , in accordance with an embodiment of the present invention . flowchart 200 a depicts dynamic user program 122 acquisition of information and determining an appropriate user profile . in step 210 , dynamic user program 122 , detects a wearable device , similar to that of wearable device 140 , of fig1 . in an embodiment , a wearable device may be capable of detecting various user parameters such as one &# 39 ; s physical conditions . similarly , in an embodiment , the detected wearable device may detect and / or determine a user &# 39 ; s activity level . for example , the detected wearable device providing physiological conditions on the user may provide details such as , the sleep the user had , the kind of working the user had completed , the type of workout completed , users current body temperature and the like . in an embodiment wearable device may sense the user &# 39 ; s surroundings , such as temperature , barometric pressure , humidity level etc . an embodiment of the present invention may also notate the time of each sensor reading . wearable device 140 may keep track of the user &# 39 ; s physiological conditions . alternatively , an information repository associated with wearable device or dynamic user program 122 may keep track of the user &# 39 ; s physiological conditions . a user &# 39 ; s physiological conditions may include workout duration , workout intensity , calorie count , sleep duration , body temperate , daily routine , etc . in step 212 dynamic user program 122 receives at least one controllable smart appliance , similarly to that of smart appliance 130 of fig1 . in an embodiment , smart appliance 130 has an ability to communicate with dynamic user program 122 . in an embodiment , smart appliance 130 may be registered and / or controlled by dynamic user program 122 . in an embodiment smart appliance 130 may be controlled directly from wearable device 140 . optionally in step 212 , dynamic user program 122 may receive a health profile of a user . in an embodiment , dynamic user program 122 may receive a health profile as created by a user &# 39 ; s doctor , dietitian , family member , or any other individual who has knowledge of the user and can assist the user in creating a health profile . alternatively , or additionally , dynamic user program 122 may generate the health profile of the user by prompting the user with multiple questions and physiological readings in order to create a baseline of the user . in step 214 , dynamic user program 122 , generates a profile for the appliances based on the user &# 39 ; s health profile ( as received in step 220 ). in an embodiment , dynamic user program 122 , may utilize various readings from smart appliance 130 and will determine iot appliance settings that comply with the health profile of the user . based on the generated profile of appliances , dynamic user program 122 , may , based on the immediate health needs of the user , automatically alter the smart appliances . flowchart 200 b depicts dynamic user program 122 acquiring of information from sensors and determining an appropriate environment for the user . in step 210 , dynamic user program 122 , receives information from a user &# 39 ; s wearable device 140 and / or from a smart appliance 130 registered to a user &# 39 ; s wearable device 140 . received information may relate to any physiological condition of the user as sensed by a sensor 142 on wearable device 140 . in step 224 , dynamic user program 122 , analyzes the data and demines whether the environment corresponds to the user health profile as generated in step 214 . based on the physiological conditions and the respective attributes obtained by wearable device 140 for a user , dynamic user program 122 , manages all the registered consumer smart devices and automatically adjusts each device to be best suited for the user . if in step 224 it is determined that the environment is within the parameters set within the user health profile , then dynamic user program 122 , returns to step 220 waiting to receive new data on the user . however , if the environment does not correspond to the user health profile , then in step 226 , dynamic user program 122 adjusts the environment by controlling one or more smart devices . dynamic user program 122 achieves automatic customization of the user &# 39 ; s appliances as the program dynamically adapts following the user &# 39 ; s physiological attributes obtained from the user &# 39 ; s wearable device . in an embodiment , dynamic user program 122 , ensures no adverse impact on the user &# 39 ; s health . in an embodiment , dynamic user program 122 , optimizes the usage of the consumer appliances , as they are utilized only when necessary as they adapt specifically to the user . in an embodiment , based on the received readings in step 220 , dynamic user program 122 will inform the smart appliances about the required settings that comply with the user health profile of the user . thereby the smart appliance will adjust to meet the health needs of the user . reference is now made to fig3 . fig3 is a block diagram depicting communication between components of fig1 , in accordance with an embodiment of the present invention . embodiment 300 portrays the communication between three components , wearable device 140 , dynamic user program 122 , and smart appliance 130 . it is noted that embodiment 300 may contain additional components not shown , for example , there can be more than one smart appliance . line 310 represents wearable device 140 &# 39 ; s continuous monitor of a user &# 39 ; s physiological attributes . line 310 also represents syncing and communicating the user &# 39 ; s physiological attributes to dynamic user program 122 . line 320 represents the syncing of smart appliances 130 current state to dynamic user program 122 . smart appliance 130 sends current environmental status updates to dynamic user program 122 . in return for a status update coupled with the user &# 39 ; s physiological condition , line , 325 represents dynamic user program 122 automatic customization of smart appliances 130 , based on wearable data . in an exemplary embodiment , dynamic user program 122 oversees and prevents health issues if a user &# 39 ; s schedule changes . for instance , if an individual is in a hot environment , and suddenly switches to a cold environment , then the individual may face health issues such as , an asthma attack or dry skin . for example , dynamic user program 122 detects , from wearable device 140 , that the user is working out and in a warm environment and dynamic user program 122 detects , from the user &# 39 ; s smart air conditioning appliance , that the user &# 39 ; s house is set to cool ; then dynamic user program 122 may override the preset temperature of the smart air conditioning unit and fine tune the actual temperature to meet the physiological needs of the user . further , if dynamic user program 122 determines the user is 20 minutes away from the house and it takes 13 minutes to bring the temperature of the house to the ideal setting , then dynamic user program 122 , may engage the air conditioning 7 minutes after the determination , to most effectively and efficiently use electricity in conjunction to benefiting the user &# 39 ; s health . similarly , dynamic user program 122 , may even preset the user &# 39 ; s water temperature in the shower to align with the user &# 39 ; s physiological conditions , in particular the user &# 39 ; s body temperature . in an exemplary embodiment , dynamic user program 122 , may override a predefined smart appliance schedule due to a change in the user &# 39 ; s schedule . for example , if the user has a daily routine of waking up in the morning , placing a high caloric dinner in the microwave oven to eat after work , going to the gym , then work , then on his way home from work at a certain predefined distance , the microwave oven automatically turns on , cooking his meal so it is ready when the user arrives at home following his day at work . however , if the user &# 39 ; s routine changed as the user skipped the gym , then the user would need to alter the predefined program set for the microwave oven , as the food may not be recommended if the user did not work out . therefore , dynamic user program 122 detects , from wearable device 140 , that the user did not work out today , breaking from the normal pattern . therefore , dynamic user program 122 determines that the user should not eat a high caloric dinner , and will interrupt the predefined program for the microwave oven . in this exemplary embodiment , dynamic user program 122 , may assist the user in determining what to eat based on current physiological conditions . for example , if a dietitian provided the user with a diet app to help the user order food , dynamic user program 122 may recommend specific food based on whether the user received less sleep , partook in an unplanned activity , or exhibited measurable signs of stress . fig4 is a block diagram of internal and external components of a computer system 400 , which is representative of the computer systems of fig1 , in accordance with an embodiment of the present invention . it should be appreciated that fig4 provides only an illustration of one implementation , and does not imply any limitations with regard to the environments in which different embodiments may be implemented . many modifications to the depicted environment may be made . computer system 400 includes communications fabric 402 , which provides communications between computer processor ( s ) 404 , memory 406 , persistent storage 408 , communications unit 412 , and input / output ( i / o ) interface ( s ) 414 . communications fabric 402 can be implemented with any architecture designed for passing data and / or control information between processors ( such as microprocessors , communications and network processors , etc . ), system memory , peripheral devices , and any other hardware components within a system . for example , communications fabric 402 can be implemented with one or more buses . memory 406 and persistent storage 408 are computer readable storage media . in this embodiment , memory 406 includes random access memory ( ram ) 416 and cache memory 418 . in general , memory 406 can include any suitable volatile or non - volatile computer readable storage media . persistent storage 408 may include , for example , a plurality of magnetic hard disk drives . programs are stored in persistent storage 408 for execution and / or access by one or more of the respective computer processors 404 via one or more memories of memory 406 . in this embodiment , persistent storage 408 includes a magnetic hard disk drive . alternatively , or in addition to a magnetic hard disk drive , persistent storage 408 can include a solid state hard drive , a semiconductor storage device , read - only memory ( rom ), erasable programmable read - only memory ( eprom ), flash memory , or any other computer readable storage media that is capable of storing program instructions or digital information . the media used by persistent storage 408 may also be removable . for example , a removable hard drive may be used for persistent storage 408 . other examples include optical and magnetic disks , thumb drives , and smart cards that are inserted into a drive for transfer onto another computer readable storage medium that is also part of persistent storage 408 . communications unit 412 , in these examples , provides for communications with other data processing systems or devices . in these examples , communications unit 412 includes one or more network interface cards . communications unit 412 may provide communications through the use of either or both physical and wireless communications links . software and data used to practice embodiments of the present invention can be downloaded to computer system 400 through communications unit 412 ( i . e ., via the internet , a local area network , or other wide area network ). from communications unit 412 , the software and data may be loaded to persistent storage 408 . i / o interface ( s ) 414 allows for input and output of data with other devices that may be connected to computer system 400 . for example , i / o interface 414 may provide a connection to external devices 420 , such as a keyboard , keypad , a touch screen , and / or some other suitable input device . external devices 420 can also include portable computer readable storage media such as , for example , thumb drives , portable optical or magnetic disks , and memory cards . software and data used to practice embodiments of the present invention , can be stored on such portable computer readable storage media and can be loaded onto persistent storage 408 via i / o interface ( s ) 414 . i / o interface ( s ) 414 also connect to a display 422 . display 422 provides a mechanism to display data to a user and may be , for example , a computer monitor . display 422 can also be an incorporated display and may function as a touch screen , such as a built - in display of a tablet computer . the present invention may be a system , a method , and / or a computer program product . the computer program product may include a computer readable storage medium ( or media ) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention . the computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device . the computer readable storage medium may be , for example , but is not limited to , an electronic storage device , a magnetic storage device , an optical storage device , an electromagnetic storage device , a semiconductor storage device , or any suitable combination of the foregoing . a non - exhaustive list of more specific examples of the computer readable storage medium includes the following : a portable computer diskette , a hard disk , a random access memory ( ram ), a read - only memory ( rom ), an erasable programmable read - only memory ( eprom or flash memory ), a static random access memory ( sram ), a portable compact disc read - only memory ( cd - rom ), a digital versatile disk ( dvd ), a memory stick , a floppy disk , a mechanically encoded device such as punch - cards or raised structures in a groove having instructions recorded thereon , and any suitable combination of the foregoing . a computer readable storage medium , as used herein , is not to be construed as being transitory signals per se , such as radio waves or other freely propagating electromagnetic waves , electromagnetic waves propagating through a waveguide or other transmission media ( e . g ., light pulses passing through a fiber - optic cable ), or electrical signals transmitted through a wire . computer readable program instructions described herein can be downloaded to respective computing / processing devices from a computer readable storage medium or to an external computer or external storage device via a network , for example , the internet , a local area network , a wide area network and / or a wireless network . the network may comprise copper transmission cables , optical transmission fibers , wireless transmission , routers , firewalls , switches , gateway computers and / or edge servers . a network adapter card or network interface in each computing / processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing / processing device . computer readable program instructions for carrying out operations of the present invention may be assembler instructions , instruction - set - architecture ( isa ) instructions , machine instructions , machine dependent instructions , microcode , firmware instructions , state - setting data , or either source code or object code written in any combination of one or more programming languages , including an object oriented programming language such as smalltalk , c ++ or the like , and conventional procedural programming languages , such as the “ c ” programming language or similar programming languages . the computer readable program instructions may execute entirely on the user &# 39 ; s computer , partly on the user &# 39 ; s computer , as a stand - alone software package , partly on the user &# 39 ; s computer and partly on a remote computer or entirely on the remote computer or server . in the latter scenario , the remote computer may be connected to the user &# 39 ; s computer through any type of network , including a local area network ( lan ) or a wide area network ( wan ), or the connection may be made to an external computer ( for example , through the internet using an internet service provider ). in some embodiments , electronic circuitry including , for example , programmable logic circuitry , field - programmable gate arrays ( fpga ), or programmable logic arrays ( pla ) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry , in order to perform aspects of the present invention . aspects of the present invention are described herein with reference to flowchart illustrations and / or block diagrams of methods , apparatus ( systems ), and computer program products according to embodiments of the invention . it will be understood that each block of the flowchart illustrations and / or block diagrams , and combinations of blocks in the flowchart illustrations and / or block diagrams , can be implemented by computer readable program instructions . these computer readable program instructions may be provided to a processor of a general purpose computer , special purpose computer , or other programmable data processing apparatus to produce a machine , such that the instructions , which execute via the processor of the computer or other programmable data processing apparatus , create means for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks . these computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer , a programmable data processing apparatus , and / or other devices to function in a particular manner , such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function / act specified in the flowchart and / or block diagram block or blocks . the computer readable program instructions may also be loaded onto a computer , other programmable data processing apparatus , or other device to cause a series of operational steps to be performed on the computer , other programmable apparatus or other device to produce a computer implemented process , such that the instructions which execute on the computer , other programmable apparatus , or other device implement the functions / acts specified in the flowchart and / or block diagram block or blocks . the flowchart and block diagrams in the figures illustrate the architecture , functionality , and operation of possible implementations of systems , methods , and computer program products according to various embodiments of the present invention . in this regard , each block in the flowchart or block diagrams may represent a module , segment , or portion of instructions , which comprises one or more executable instructions for implementing the specified logical function ( s ). in some alternative implementations , the functions noted in the block may occur out of the order noted in the figures . for example , two blocks shown in succession may , in fact , be executed substantially concurrently , or the blocks may sometimes be executed in the reverse order , depending upon the functionality involved . it will also be noted that each block of the block diagrams and / or flowchart illustration , and combinations of blocks in the block diagrams and / or flowchart illustration , can be implemented by special purpose hardware - based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions . the descriptions of the various embodiments of the present invention have been presented for purposes of illustration , but are not intended to be exhaustive or limited to the embodiments disclosed . many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the invention . the terminology used herein was chosen to best explain the principles of the embodiment , the practical application or technical improvement over technologies found in the marketplace , or to enable others of ordinary skill in the art to understand the embodiments disclosed herein .