Tightly coupled clusters are a group of machines that are largely dependent on each other. They are often used when latency is an important factor in the application. For example, a web cluster is often a tightly coupled cluster as the web servers/application servers require quick and consistent access to a shared storage system (network filesystem or database).
Loosely coupled clusters are a group of machines (or groups of groups) which can operate independent of each other. Communications between nodes (or subclusters) is often done via a queuing system.
Tightly coupled clusters are a group of machines that are largely dependent on each other. They are often used when latency is an important factor in the application. For example, a web cluster is often a tightly coupled cluster as the web servers/application servers require quick and consistent access to a shared storage system (network filesystem or database).
Loosely coupled clusters are a group of machines (or groups of groups) which can operate independent of each other. Communications between nodes (or subclusters) is often done via a queuing system.
Read more: What_is_difference_and_similar_between_loosely-coupled_system_and_tightly-coupled_system
It can be either or even both - depends on how the designer(s) designed the distributed systems
Chunking allows reviewers to combine related concepts into bigger chunks. The components can serve as chinks ( if they are highly cohesive and loosely coupled) making it easier for reviewers to keep track of the interactions of several components during a design review ran that a large number of individual classes and their methods.
This is because, unlike Java, all variables are declared without a type.var a = 7; // Integervar b = "A string"; // String variableYou might notice a difference between this and Java. Java goes like this:int a = 7; // IntegerString b = "A string"; // StringIf you want more information, try the related link below.
In the 8086/8088, the execution unit is the part of the processor known as the CPU. It executes the instructions and generates the results. The bus interface unit, on the other hand, is the part of the processor that handles reading and writing to memory. The two are somewhat loosely coupled, with the bus interface unit attempting to always be ahead of the execution unit, i.e. using the cache, so that the execution unit's wait time is minimized and performance is maximized.
: multicomputer-- A computer made up of several computers. The term generally refers to an architecture in which each processor has its own memory rather than multiple processors with a shared memory. Something similar to parallel computing. Distributed computing deals with hardware and software systems containing more than one processing element or storage element, concurrent processes, or multiple programs, running under a loosely or tightly controlled regime. A multicomputer may be considered to be either a loosely coupled NUMA computer or a tightly coupled cluster. Multicomputers are commonly used when strong computer power is required in an environment with restricted physical space or electrical power. Common suppliers include Mercury Computer Systems, CSPI, and SKY Computers. Common uses include 3D medical imaging devices and mobile radar. In distributed computing a program is split up into parts that run simultaneously on multiple computers communicating over a network. Distributed computing is a form of parallel computing, but parallel computing is most commonly used to describe program parts running simultaneously on multiple processors in the same computer. Both types of processing require dividing a program into parts that can run simultaneously, but distributed programs often must deal with heterogeneous environments, network links of varying latencies, and unpredictable failures in the network or the computers. multiprocessor-- A multiprocessor system is simply a computer that has more than one CPU on its motherboard. If the operating system is built to take advantage of this, it can run different processes (or different threads belonging to the same process) on different CPUs. Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system. The term also refers to the ability of a system to support more than one processor and/or the ability to allocate tasks between them.[1] There are many variations on this basic theme, and the definition of multiprocessing can vary with context, mostly as a function of how CPUs are defined (multiple cores on one die, multiple chips in one package, multiple packages in one system unit, etc.).
distribute the computation among several physical processors.it is a loosely coupled system.each processor has its own memory.
Loosely-coupled operating system for heterogeneous multicomputers (LAN and WAN) Offer local services to remote clients too primitive (lowest common demoninator - too much diversity)
FDBSs can be categorized as loosely coupled or tightly coupled based on who manages the federation and how the com- ponents are integrated. interoperable database system ( loosely ) An FDBS is loosely coupled if it is the user's responsibility to create and maintain the federation and there is no control enforced by the feder- ated system and its administrators. A federation is tightly coupled if the federation and its adminis- trator(s) have the responsibility for creat- ing and maintaining the federation and actively control the access to component DBSs. A loosely coupled FDBS always supports multiple federated schemas. A tightly coupled FDBS may have one or more federated schemas. A tightly coupled FDBS is said to have single federation if it allows the creation and management of only one federated schema. A tightly coupled FDBS is said to have multiple federations if it allows the creation and management of multiple federated schemas
Loosely coupled microprocessors are more like independent processors joined via a small communication link (a high speed bus or cable). This means that the connected microprocessors have their own local memory sets. They are low in performance. Also only microprocessors that can work independently may be used. Tightly coupled microprocessors share a common memory for the purpose of communication. One processor (slave) is dependent on the other (master). They are good at performance. The connected processors also have local memory sets for general purposes.
It can be either or even both - depends on how the designer(s) designed the distributed systems
The way I understand it is, that tightly coupled architecture does not provide a lot of flexibility for change when compared to loosely coupled architecture. For eg., if two disparate systems exchange messages, the message format has to be the same if they are tightly coupled. If the source uses java, the receiver should be able to read the message using java. Also, if any change is made is made to the source or the receiver systems, the other end has to be modified appropriately. But in case of loosely coupled architectures, message formats or operating platforms or revamping the business logic does not impact the other end. If the system is taken down for a revamp, of course the other end will not be able to access the service for a while but other than that, the unchanged end can resume message exchange as it was before the revamp.
In a tightly coupled multiprocessor system, processors share a common memory and are connected through a high-speed interconnection network, allowing for efficient communication and coordination. In contrast, in a loosely coupled multiprocessor system, processors have separate memories and communicate through message passing, which can lead to slower performance but greater flexibility in terms of scalability and fault tolerance.
a group of loosely coupled computers that work together closely
Tightly coupled clusters are a group of machines that are largely dependent on each other. They are often used when latency is an important factor in the application. For example, a web cluster is often a tightly coupled cluster as the web servers/application servers require quick and consistent access to a shared storage system (network filesystem or database).Loosely coupled clusters are a group of machines (or groups of groups) which can operate independent of each other. Communications between nodes (or subclusters) is often done via a queuing system.
A loosely coupled system is one in which each separate part (module) has very little direct interaction with each other module. The modules act largely independently of each other, each performing a small set of functions with data being passed from one module to another. This is an ideal situation because a loosely coupled system will require very few code changes if new modules are added, removed, or changed. A tightly coupled system will require a lot of recoding to make such changes. In the days where memory capacity was a limiting factor, tightly coupled code was essential to make it smaller and more efficient. Nowadays, except in some specialist applications, this is less importanat and having loosely coupled systems allows code to be developed by different people in different places and at different times.
1) Distributed Operating systems are also referred to as Loosely Coupled systems whereas parallel processin g systems are referred to as tightly coupled systems. 2) A Loosley coupled system is one in which the processors do not share memory and each processor has its own local memory whereas in a tightly coupled system there is a single systemwide primary memory shared by all the processors. 3) The processors of distributed operating systems can be placed far away from each other to cover a wider geographic area which is not the case with parallel processing systems. 4) The no. of processors that can be usefully deployed is very small in a parallel processing operating system whereas for a ditributed operating system a larger no. of processors can be usefully deployed....... 5)globle clock is used for controlling simd n mimd in parallel..... .in distributed no any global colck present in this synchronization algorithms are used 6)in the distributed operating system there is an unpredictable communication delays between processors whereas the processors in the parallel processing system share over an interconnection network
Multiprocessing is the use of two or more central processing units (CPUs) within a single computer system. The term also refers to the ability of a system to support more than one processor and/or the ability to allocate tasks between them.There are many variations on this basic theme, and the definition of multiprocessing can vary with context, mostly as a function of how CPUs are defined (multiple cores on one die, multiple chips in one package, multiple packages in one system unit, etc.). Multiprocessing can be of 2 types: Loosely-coupled multiprocessor systems (often referred to as CLUSTER SYSTEMS) are based on multiple standalone single or dual processor commodity computers interconnected via a high speed communication system (Gigabit Ethernet is common). A Linux Beowulf cluster is an example of a loosely-coupled system. Tightly-coupled multiprocessor systems contain multiple CPUs that are connected at the bus level. These CPUs may have access to a central shared memory (SMP or UMA), or may participate in a memory hierarchy with both local and shared memory (NUMA). Tightly-coupled systems perform better and are physically smaller than loosely-coupled systems, but have historically required greater initial investments and may depreciate rapidly; nodes in a loosely-coupled system are usually inexpensive commodity computers and can be recycled as independent machines upon retirement from the cluster. Power consumption is also a consideration. Tightly-coupled systems tend to be much more energy efficient than clusters.