|
The benefits of such an interface to several aspects of technology is impressive. Here are the some scenarios where valuable progress becomes feasible.
The interface works with any type of data (including multimedia).
|
|
The operating system of a computer does not check for malicious code in RAM. The traditional goal of controlling access to hardware resources is clearly defined.
Detecting malicious code is not a precise science and would introduce a bottleneck in operating system protocol. However, the absence of an OS mechanism that prevents
execution of malicious code allows malware to flourish. The APSCCS interface provides a reliable mechanism to render malware harmless in RAM. An APSCCS compression alters
code disguised as data to become innocuous in RAM since execution will fail to produce the intended result. The result of such an operation must not contain coincidental
instructions. The APSCCS interface ensures that compressed data cannot be executed as code.
A code resource disguised through other means such as embedding within a data file would be rendered harmless. However, it is necessary to prevent such disguised resources
from execution that follows decompression. An embedded resource could be processed as data that is devoid of instructions. This assumption requires an established method
for detecting code that is meant to be embedded. Furthermore, this technique of rendering code secure through encryption must be accompanied by a means of validating the
decryption source. A solution that applies APSCCS to prevent any kind of malware activity can be found here.
This approach of compression that protects against malware goes beyond encryption since APSCCS decryption does not involve a private or public key.
|
|
The APSCCS interface ensures that data transmissions over any network cannot be decoded except by the software or host that requested compression. This feature makes APSCCS
significantly more convenient and reliable than TLS or alternatives. The reliable security provided by APSCCS originates from a scope aligned with an execution environment.
This scope is defined by the presence of a security interface that is common but exclusive to both server and client endpoints. Therefore, no handshake is necessary between
enpoints to verify data security. The common and exclusive set of operations in both endpoints certifies all data transmissions between them.
|
|
The transfer of data through a network would be significantly improved at correct chunk sizes of source streams. The time to load a block of data from disk increases with
size. However, repetitive disk access for smaller chunks can become detrimental to streaming performance. Such a case occurs when repetitive disk reads exceed a threshold
number for a given environment and chunk size. The APSCCS interface makes it possible to define an optimal chunk size for multiple use cases that include Data Streaming.
This feature occurs from the fact that APSCCS applies binary operations devoid of abstractions. The operations reflect a comprehensive technique for encoding (compression)
and decoding (decompression).
The result is that customizations that account for video or sound resolution are not necessary since an optimal chunk size exists for common
scenarios. An optimal chunk size would be loaded to memory within a minimal number of split seconds, but large enough to take a minimal number of disk reads for a particular
file. The disk access speed of a hard drive should be considered in choosing an optimal chunk size for an environment. The APSCCS interface allows a chunk size to be selected
from a range of 1 byte to 2 gigabytes.
|
|
The streaming of APSCCS data initiated at a server performs optimally through network or internet infrastructure. Furthermore, unauthorized access to keys, compressed data
or transmission activity cannot result in a successful data breach. The host environment of server and client provide customized operations for compression and decompression.
These random operations (generated by APSCCS) are devoid of a pattern and different from one host to another.
|
|
The interface provides an opportunity to replace complex Digital Rights Management with a simple process. This may be achieved by a solution that renders a case-by-case
approach unnecessary. The first part of this solution is to compress and store user credentials. Any risk of unauthorized user access will be eliminated by the reliable
APSCCS encryption. The Data Security and Product Description sections explain this reliability. The credentials of a user can be validated at login by comparing with
decompressed credentials. The second part is to compress and store digital content. The APSCCS interface always generates compressed data and security keys as a result
of compression. The compressed data can be stored on a user's device or a server. However, the digital content would become accessible only after a user is validated as
previously stated. This validation is a result of security keys applied to decompress the digital content. The overall benefit to DRM is a reliable and efficient process
that is simple to manage.
|
|
The APSCCS interface creates a maximum of 2GB security keys for each 80 bytes of compressed data. This can lead to multiple chunks of security keys and compressed data when
compression is requested for a file size greater than 2 gigabytes. The interface allows a host to divide any source file into arbitrary chunks. A division into chunks
facilitates access to the precise chunk (or chunks) of data needed for loading into RAM. An optimal chunk size significantly improves overall performance that includes disk
access. Such rapid access to chunks may occur through mapped IDs, progressive file suffixes or alphabetical searches (performed in RAM). Once a chunk is loaded from disk to
RAM, it becomes efficient to send them in small divisions that satisfy maximum TCP latency and throughput. This is especially true when such divisions match the Maximum
Transmission Unit that favors network protocols.
This scenario facilitates data transmission from a source to the receiver over any network. The limiting factor for transmissions becomes constrained to intermediate nodes
of any network. Since the server scenario is optimal (due to APSCCS), there is no need to degrade media resolution. The server would now be transmitting at maximum efficiency
for any kind of media. The one thing left to do is ensure optimal transmission at intermediate nodes of a given network. A solution that involves APSCCS in preventing
(or minimizing chances for) a slow network can be found here.
|
|
A further benefit provided by APSCCS can occur at the destination for transmitted data. An alternative to TCP reordering of data packets is possible due to fixed sizes of
compressed data and decryption keys. The data ordering process at a destination does not need to wait until all packets arrive. Instead, at the instance of arrival, bytes of
each packet can be placed at an offset in memory that aligns with a speific block and TCP header position. A chunk-aware TCP implementation that takes advantage of APSCCS file
divisions can significantly improve packet transfer, reception and ordering. This technique is not possible with a regular transmission because an end-of-packet (FIN) flag is
provided instead of the file size.
Furthermore, the APSSCS interface provides a reliable and efficient method of detecting data corruption during network transmission. The APSSCS compressed data can serve as an
identifier or signature for a data packet. There is a negligible effect on latency due to the inherent processing speed of APSCCS and size of each packet. The transfer of media
and other kind of data can occur extremely rapidly when all these features are combined. An insight on how APSCCS can facilitate network transmission can be found
here.
|
|
The processing and production of media for streaming consumers would benefit tremendously from peculiar APSCCS features. The interface allows creation of chunks in any arbitrary order,
range, number and position relative to a parent file of any size. The flexible ranges and positions allow single processing of any arbitrary file portion on demand. These features favor
parallel processing in a manner that allows each task to be truly independent without any kind of constraint. The further processing of output chunks can occur in a similar arbitrary
selection that facilitates parallel processing. The result is a significantly rapid media production process. The post-production media can also be enhanced with APSCCS as a codec.
There are two ways to apply APSCCS as a codec mechanism. The first way is to apply APSCCS compression to a file that has been encoded in a different format. The host-specific security
of APSCCS along with chunk processing power provide valuable benefits to such media. The APSCCS decompression process restores a file or chunk in a single and negligible step. The
appropriate header should be placed in each chunk to enable playing or screen rendering of media in chunk portions. Another option is to use APSCCS as the sole codec mechanism. This
option retains the quality of high resolution media with chunk processing power available to offset file size disadvantages. A media storage limit could be retained in client memory
during streaming activity. This storage would be useful for frame manipulation that would trigger server requests (in chunks) as necessary.
|
|
The APSCCS interface can enhance media encoding by saving storage space without creating an overhead in processing logic. There are two cases that reflect the benefit provided by
APSCCS in saving storage space. The first case occurs when data compressed to 80 bytes is stored separately from security keys within a network. This leads to over 2 billion percent
possible gain in storage space for each 2GB compressed to 80 bytes. The 80-byte sets can serve as a lightweight resource that locate corresponding security keys in separate storage.
The second case involves when security keys and matching compressed data are loaded to RAM. The decompression process does not use extra memory or a complex logic to get original data.
Since encoded media file sizes are predominantly less than 2GB, the quick load step to RAM coupled with fast decoding by APSCCS reflects high performance and compatibility. Also, the 2GB
partitions of security keys facilitate double or multiple buffering for media files that exceed 2GB.
|
|
A further benefit to media encoding involves access to audio or video frames for various cases. The partitions created by APSCCS at compression can be mapped to frame sets. The actual
frames can be mapped to discrete offsets within each partition of predetermined chunk size. This sort of mapping eliminates the complex logic required to decode and play corresponding
frames. An advantage due to the fact that chunk sizes and original data have a one-to-one offset relationship. The blocks do not need a logical process to be evaluated, but are readily
available. Therefore, no limitation exists in gaining rapid access to frames in a forward or reverse direction.
|
|
The process of cloud storage requires proper management of hardware and software resources to accumulate data indefinitely. The benefits provided by APSCCS can alleviate
and eliminate challenges related to cloud storage technology. The primary operations of APSCCS are to compress, decompress and secure data. These three aspects deal with
specific thresholds of data. The thresholds (in one scenario) are a fixed size of compressed 80 bytes and a maximum size of 2GB security keys.
In a case where the compressed data can be stored in a separate server, a significant gain in storage space is just one of several benefits. We now have a setting that
allows data separation into an arbitrary context (with markers) - such as alphabetical order, alphabetical range, specific category and more. This separation facilitates
data access by making a chunk pair the only targets for a specific operation. A subsequent decompression need only operate on an 80-byte chunk through corresponding
security keys. This decompression enables access toward data reading that leaves the chunk pair intact or data modification that replaces the pair.
|
|
This scenario can extend to multiple chunk pairs. Therefore, we are dealing with discrete data that creates a predictable environment. This kind of environment significantly
enhances the performance of a cloud storage system. The complexity involved in achieving a scalable and elastic environment will be mitigated. Finally, the security provided by
APSCCS in such an environment is invaluable.
The APSCCS interface is well-aligned with computational mechanisms provided by a cloud service. An enormous file can have chunks extracted in a conveniently versatile manner.
Any desired number of chunks may be produced in arbitrary order and from any position within a file. A set of parallel tasks that operate on this file would achieve optimal
performance due to such flexibility that leads to the absence of competition for resources. This flexibility provides data consistency through fail safety in any downtime
scenario of cloud computing. Furthermore, high availablility of data through redundancy can be achieved conveniently with the interface.
|
|
The database may be viewed as a system that has evolved in two dimensions. The introduction of NoSQL is one dimension. The other dimension are enhancements such as indexing, compression and column-based
processing. Such enhancements co-exist with other features within a database system. The management of such combinations within a system pipeline can become complex. The manner in which a data processing
pipeline manages instances of multiple features is crucial to overall performance. First, the system needs processing time and memory to identify active features. Further, one or more settings provided as
options within a system may negate the benefits of available features and query enhancements.
The APSCCS interface provides significantly fast data processing through a unique mechanism for data storage that facilitates access. This is due to storage of data as fixed sizes that can align with
logical divisions of a database (such as segments, pages, and more). The interface also has a means to store memory ranges (or their equivalent) that aligns with logical divisions. This eliminates the need
for logical evaluation or runtime mappings that can lead to slow query execution or cause diminished performance. Also, processing bottlenecks caused by discovering active instances would be eliminated.
|
|
The interface provides a uniformly optimal environment through access of discrete data with precision. This eliminates a need to scan an entire table for data. Instead, the precise range of data relevant
to a query can be retrieved. This method of discrete processing is suitable for replacing column indexing. There are various drawbacks with the traditional indexing of columns. One example is the slow
performance caused by creating numerous indexes. Another issue is that an index can only provide a benefit when the query makes a reference to an indexed column (or columns). The APSCCS interface provides
a uniform mechanism that can replace index creation without the negative side effects of numerous instances.
A further benefit is the unique form of compression provided by APSCCS. The traditional method of column compression is only effective for repetitious data. The APSCCS interface can compress any data from
2GB (maximum) to 80 bytes. This compression factor of over 26 million is a significant improvement that is coupled with extremely fast decompression performance. Besides, when data is large enough the
performance of common compression methods and column-based processing diminishes.
|
|
However, APSCCS provides features that facilitates the parallel processing of chunks. The first feature allows creation of an arbitrary number of chunks regardless of order and positions from a source file
during compression. The second is allowing decompression of file divisions in arbitrary order. The third is allowing consecutive chunks to be merged up to 2GB during decompression starting from any arbitrary
file division.
|
|
The APSCCS interface can constrain a database management host to an implementation that avoids negative impacts on performance and memory. This benefit of a constraint arises from a 2GB memory limit related
to the chunk size that can be defined for compressed security file divisions. A specific chunk size implies that an optimal combination exists for the number of columns and rows possible within a datafile.
The sizes of columns within a row can vary according to their datatypes. Therefore, constraining the number of columns within a table helps to prevent row extensions and overflows. This form of constraint
would apply to a database created for a specific application. The APSCCS interface makes such customizations efficiently feasible. All extra columns beyond a defined limit can be placed in a new table.
The complexity involved in managing row extensions and overflows can always be avoided since APSCCS provides efficient performance to a join query. Furthermore, the complexity of managing memory for every
object either becomes extremely simplified or not necessary. This is due to the fact that objects exist within a predictable environment managed by APSCCS. The objects can grow within disk capacity, but
become partitioned into discrete sizes.
|
|
Finally, a database management system that incorporates APSCCS allows an application to easily customize data operations. The database would allow access to chunk data in a generic or strategic format (e.g. JSON). Any
application may then operate on such data according to a specific implementation. This relieves a database (or server) from performing complex operations related to varying cases of data retrieval. An application
would load chunk data according to a specific scope (page, range, etc.). This loading can be followed by parsing or analyses within a bullseye data section provided through a UI or equivalent trigger. The reduced
scope of operation that occurs in local memory would be instantaneous. An application designed in this manner would be on a path that clarifies suitable data structures. The application can now dictate a database
design specific to a use case. Furthermore, a common datasource can now supply chunk data to several applications that process them according to specific needs.
|
|
The RAM capacity in a computer dictates size limits of data needed for dynamic operations. Since APSCCS compresses files into 80 bytes, the precise chunks can be located easily and decompressed in RAM. Storage to disk
can be accomplished by locating the precise chunks for replacement after decompression from RAM. Processing file sizes of 80 bytes and keys that do not exceed 2 GB is a significant advantage when dealing with files that
would otherwise be merged into a single large size.
File storage for applications can significantly exceed currrent size limits on disk. One example is a spreadsheet document that must not exceed 512 MB on disk. This file would be 80 bytes on disk with security keys stored
as metadata. The application can store multiple 80-byte compressed files that can each be decompressed to 2 GB maximum in RAM. Any data that is needed but not present in RAM can be satisfied by single (or multiple) 80-byte
chunks that replace current RAM contents. Therefore, file storage size limits become a constraint relevant to the environment rather than an application.
|
|
The APSCCS interface may store compressed data on a local machine and security keys on a server. This separation saves significant storage space on a hard drive. An example is the compression of a 10 GB data file.
The APSCCS interface would resolve this file size to 2 GB thresholds of 5 compressions that produce 80 bytes each. Therefore, 10 GB of data becomes only 320 bytes on hard disk! Although decompression requires retrieving
security keys over a network, the proper strategy can minimize effects of network disruptions.
A modified form of pipelining could retrieve keys in chunk sizes sufficient enough to always satisfy local RAM requirements. The initial loading of security keys would involve a chunk size minimum that provides a smooth
user experience. An asynchronous loading can follow when appropriate user actions occur and a minimum unread RAM is detected. This form of data retrieval can prevent network interruptions from affecting interactions with
an application.
|
|
The case of storing both compressed data and security keys on one machine is unique. Although, this approach lacks the benefit of storage space saving, it eliminates potential network disruption. Also, a significantly high
storage limit would be available whenever a user saves data to disk. The default 80-byte chunks are decompressed through associated keys when an application is launched. Subsequent output requirements can be fulfilled by
loading relevant chunks and keys for decompression when triggered by user actions.
Any data compressed by an APSCCS module can only be decrypted within the corresponding host or execution environment. This host-specific protection is valuable in case a data breach originates from outside an execution environment.
However, user software that is accessible to or purchased by the public needs another layer of APSCCS protection. This protection should be within a site hosted by the software vendor. The user interface of such software in a device
could provide an option that applies protection to specific files (on demand) or all files (in general). Further, the site would allow creation of accounts in various scopes that apply to any enterprise, group or user. Finally
the local application would require entry of credentials before a protected file is encrypted or launched. The storage of credentials should be protected through a different APSCCS module since this provides an exclusive execution
environment.
|