The remainder of this paper is structured as follows next section describes the problem

This algorithm is based on the nature of honey bees of finding and reaping food. The forager bees is a class of bees which forage for food sources and on finding one, they come back to the beehive to tell about this using waggle dance. This dance gives an idea about the quality or quantity of food and also its distance from the beehive. Scout bees then follow the forager bees to the location and then began to reap the food. Then they return to the beehive and do a waggle dance, which gives an idea of how much food is left resulting in further exploitation of the food sources. In load balancing ,as the demand for webservers changes(increases or decreases), dynamically the services are assigned to regulate the changing demands .

Thus, the flexibility in SOA is made possible by loose coupling. However, optimization should be restricted to certain situations in SOA like when the Quality of Service (QoS) profiles are fixed and predetermined. Unfortunately, in the SOA environment optimization is an unfeasible expectation because of the dynamic environment of web services. Moreover, web service providers might not be willing to publish and create the profiles even though using QoS profiles are more reliable than other less-flexible optimization techniques. Thus, web services provide an organization with loosely coupled reusable software. Thus, this flexibility allows interoperability between systems to accomplish business functions. Further, business services can be completely allocated and decentralized over the Internet and collected by numerous communications

Cloud Computing and Web Services have become well known services that companies have been using. Web services provide the ways that organizations can use applications to communicate with each other across the internet. Cloud computing provides various types of service, such as software as a service, where a provider gives the company software that they can use for their business functions. While this may seem that both types of services are different from each other, they do share similarities that companies should take notice. Service oriented architecture has also started to become a useful feature that helps with integration in companies. One problem is that some companies have difficulty in implementing service oriented architecture, but cloud computing has started to become an option that has caused an impact in service oriented architecture and integration.

This action specifies a limited amount of resources for identified tasks. QoS ensures that the network will not crash due to overloading the system with processing requests, which happens when a DDoS is launched. Even though the network/system will not crash, it will slow down considerably once all allocated resources have been used (Glenn, 2003).

New technological developments are revitalizing the software industry. The most recent and significant development includes a new set of web-friendly applications that, as of yet, has no official name. These web services can be assembled from standardized building blocks, meaning that any number of applications may be assembled in a variety of ways. Because of this, companies are able to develop enterprise applications to run on a wide range of software and hardware infrastructures and cater to the specific demands of their respective market segments. The companies that will maintain market share in the

Service related products include membership sites, web-hosting, auto-responder programs, survey networks, resume services, graphic design, website design, etc.

For example, speed can be represented by value 5 m/s or by description “slow”. Term “slow” can have different meaning if used by different persons and must be interpreted with respect to the observed environment. Some values are easy to classify, while others can be difficult to determine because of human understanding of different situations. One can say “slow”, while other can say “not fast” when describing the same speed. These differences can be distinguished with help of so-called fuzzy sets. Usually fuzzy logic control system is created from four major elements

This is a small scenario that is described which is based on sales amount. If the company wants to impose any other condition,they can easily do that by using ths fuzzy xquery technique.so it is easy to understand that by using fuzzy membership function we are getting more efficient output than the output which was genetred by the simple query method.Fuzzy crisp input is taking the values on the basis of given membership function and produce the optimized output by calculating them within the aspiration level.This aspiration level is playing a very vital role because all the three fuzzy funcaion are balanced by these aspiration

This article presents various kind of situations and problems that the ACO can be applied to find out optimal solutions where the problem consists of many constraints. Fuzzy problems and uncertainty problems can also be optimized by ACO. For example Traffic Signalling Problem: in this the traffic signal will be safe until or unless the capacity of the signal increase and once it occurs there may be a chance of colliding somewhere either in the front or in the tail of the signal. It may result in a loss of huge timing may be also in days and days of time. ACO can be able to avoid these kinds of problems and provide a clear idea on how to handle those situations with some kind of simulation with the help of

Upon reviewing all of the service reusability is the stage of service oriented design that most affect the granularity that compose the software solution. I came to this conclusion, because reusability of a service grants it to have endless potential. Not only can a service be reused, it can perform different tasks.

In the last few years, the advancement of cloud computing technology has revolutionized the IT infrastructure and business model of many organizations. Businesses from green field startups, to enterprises and market giants have repositioned their services and infrastructure to take benefits of Cloud computing models. Cloud technology is leveraged by the underlying infrastructure and virtualization techniques that make the magic of on demand resource allocation, service orchestration possible. While the Internet provides the ubiquitous access necessary for utilization of the cloud services.

For instance, the functionality of the involved enterprise applications ' components is combined and orchestrated into a composite, higher-level architecture and offered as a service to the customer by the cloud service provider (CSP). Components typically are connected to other components e.g. an application component runs on an operating system and connects to a database and external services. These composite applications rely on component-based modular architectures and are benefited from cloud properties such as high reliability, elasticity, scalability, flexibility, and high availability~cite{varia,buyya2009cloud}. Application provisioning enables the business users to access the cloud providers resources as required based on Service Level Agreement (SLA), Quality of Services (QoS), availability, and cost modelcite{ peiris2011c2tp, ahmed2013multi, yassa2013multi}. In such scenarios, the different components involved need to be managed, deployed, configured, their quality of service satisfied, and their communication with other components

Cloud computing has evolved with the passage of time and has revolutionized the entire ICT industry. Cloud computing is categorized into two forms Service oriented computing and Grid Computing. Service oriented Computing is an transpiring paradigm that has revamped the consumption of software and related product all around the globe. The core functionalities that service oriented computing provide is elements and that are independent of platforms and are programmed using standard protocols to support distributed computing across various organizations. [2]

Measured service- cloud systems automatically control and optimize resource use, by leveraging a metering capability at some level of abstraction appropriate to the type of service. Resource usage can be monitored, controlled, and reported, providing transparency for both the provider and consumer of the utilized service.

Recently, organizations and industries used to face many difficulties; doing certain office and business tasks, retrieving information and gaining services while paying huge amounts of money. Nowadays, using up- to-date technologies and computing services can help solving severe problems with a click of a button; one of the suggested solutions was designing a cloud full of services and resources.