There are several differences between cloud and parallel database which include load sharing, joins, query optimization, route scheduling and resource optimization.
The first difference is load sharing. In parallel database load sharing is balanced since the optimization algorithm works on the kernel level and routing protocol determines the best route to find it. As a consequence, load keeps distributing on the server side. Moreover, in parallel database table look up is not needed because heuristic approach notifies the server if the load balancing bit is set to one. The objective of load sharing strategies is to minimize the average transaction response time. In parallel database dynamic load sharing strategy is use for load sharing purpose. Xiaohu, Renqiang, Chujie, Yu (2013, p. 369) states that if at any time the cumulative performance of any component fails, then the cumulative performance of rest of the components in the system should be redistributed to keep the initial and final cumulative performance of the whole system same. Thus, it reduces the time taken to resolve the query clients can make multiple requests at the same time.
In contrast to parallel database, cloud database puts all resources together in a pool, so whenever a resource is requested, pool serves that request and load depends on the number of requests. Pitoura, Ntarmos and Traintafillou (2012, p. 1315) argue that “range queries progress from the peer responsible for the range’s lowest value to the peer responsible for its highest value following successor pointers”. On the contrary, in parallel database successive pointers are not used while all nodes are connected in a tree structure. Cloud database mainly deals with the software as a service, in ...
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...e to insecure mode, many applications don’t use this protocol. UDP collectively takes all the packets together through the channel and block the resources completely. Moreover, UDP does not provide reliable data transfers since reliability costs more. For example, Li, Huang, Li and Li (2013, p. 363) explains that after combining real time data in industrial field with organization and management technologies of cloud storage systems, the real time constraint of memory and storage index mechanism can be realized. The jurisdiction management deals with the branch prediction technology; therefore it automatically fetches the data before it needs hence the process speeds up. On the other hand, capacity distribution primarily deals with the cache of CPU, so when it encounters the same query set it automatically fetches the word. As a result, UDP provides data transfer
The first cloud infrastructure that I would like to describe is the Platform as a Service model, also known as PaaS. The platform in PaaS describes the fact that it provides the computers operating system and hardware for the use of applications. To expand on the platform description it easier to say that a company can use this cloud infrastructure in order to run their software rather than having to buy each computer and software to run a program for each computer. A plus side of using PaaS is that new developers are able to test applications in the cloud without crashing their own computer. It is also capable of storing information on the cloud which frees up hardware storage space. The traditional type of networking where you every computer had to be networked and hardwired to each of the
Cloud is the result of a decade research in the field of distributing computing , utility computing, virtualization , grid computing and more recently software, network services and web technology which is changeable evolution on demanding technology and services also as looking to the rapid growth of cloud computing which have changed the global computing infrastructure as well as the concept of computing resources toward cloud infrastructure. The important and interest of cloud computing increasing day by day and this technology receives more and more attention in the world (Jain, 2014) the mostly widely used definition of cloud computing is introduced by NIST “as a model for enabling a convenient on demand network access
Cloud computing is defined by experts as a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. The meaning behind the word cloud is that it is a metaphor for the entire online web and its data as well. A cloud service differs from traditional hosting in three different ways. These three differences are that cloud computing is elastic, it is sold on demand, and the service is managed by the provider of the cloud. The easiest way to explain what cloud computing does is that it stores and gives access to different data and programs over the internet rather than just your computer’s hard drive. For it to be actually considered cloud computing it must include data or programs over the internet. Cloud computing can be done anytime, anywhere with an online connection.
Cloud computing is able to increase the speed of business. Cloud computing offers the speed to make computing resources on an instance basis, not just need to first survey time and skilled resources in design and implement infrastructure and applications to deploy and test it. Cloud computing can engance revenue, share bigger market, or other advantages.
...Implementation of cloud systems can be implemented in stages with costs that coincide with usage. The ROI outweighs the issues or problems that could occur. Cloud computing gives a competitive advantage of being able to keep up with changes in technology without having the cost involved. Amazons cloud computing allowed companies like Ericsson to remain competitive and thrive.
The cloud storage services are important as it provides a lot of benefits to the healthcare industry. The healthcare data is often doubling each and every year and consequently this means that the industry has to invest in hardware equipment tweak databases as well as servers that are required to store large amounts of data (Blobel, 19). It is imperative to understand that with a properly implemented a cloud storage system, and hospitals can be able to establish a network that can process tasks quickly with...
Structured P2P overlay network have tightly controlled topologies and content is placed at specified locations to efficiently solve queries. Some well-known examples are Content Addressable Network (CAN) [44], Chord [15] and Pastry [45]. Such overlays use a Distributed Hash Table (DHT) as substrate, where data objects (or values) are placed deterministically at the peers whose identifiers correspond to the data object’s unique key. In DHT-based systems, node identifiers are uniform-randomly assigned to the peers from a large space of identifiers. Similarly, unique identifiers, chosen from the same identifier space and called keys, are computed from data objects by means of a hash function. Keys are then mapped by the overlay network protocol to a unique live peer in the overlay network. The structured P2P overlay network support scalable storage and retrieval of {key,value} pairs. Given a key, operations like put(key,value) and get(key) can be invoked respectively to store and retrieve the data object corresponding to the key, which involves routing requests to the peer corresponding to the key. However, they only supports exact matching and are strongly affected by peer churn [31].
...res more resources. Cloud providers monitor and predict the demand and thus allocate resources according to demand. Thus, datacenters always maintain the active servers according to current demand, which results in low energy consumption than the conservative approach of over-provisioning.
Information Retrieval is simply a field concerned with organizing information. In other terms, IR is emphasizing the range of different materials that need to be searched. Others researcher said that IR is the contrast between the strong structure and typing a database system with the lack of structure in the objects typically searched in IR. The actual process in information retrieval systems is it has to deal with incomplete or under specified information in the form of the queries issued by users. IR uses the techniques of storing and recovering and often disseminating recorded data especially through the use of a computerized system.
Several types of cloud storage systems have been developed to supporting both personal and business uses. Cloud storage also a model of networked enterprise storage where the data is stored not only in the user's computer, but also in virtualized of storage, which generally hosted by third parties company.
It simplifies the storage and processing of large amounts of data, eases the deployment and operation of large-scale global products and services, and automates much of the administration of large-scale clusters of computers.
Cloud computing is a type of computing that depends on sharing computing resources rather than having local servers or personal device to handle applications.
Another function of the DBMS is the concurrency control services. Database Management System must ensure that the database is updated correctly because the database can be used by many multiple users. The DMS enable many user to access the data concurrently. The database managements system will help from ay data loss. It have the features which that can support the updates like batch processing, locking, two-phase locking and the time stamping.
Explain how the two important transport protocols deliver messages on behalf of the application and discuss the differences between them