EU crises from microeconomic point of view and future of EU Assignment

EU crises from microeconomic point of view and future of EU - Assignment Example European countries that have constituted the EU have also been set to operate under common currency; the euro, making economic transactions between and among member states easy and favorable. This is more so because the member states do not face currency fluctuations in terms of foreign exchange, making international business prior to the member states favorable across the EU region. Though the current notion of the EU sounds simple in the domain of other countries in the world, the history behind the formulation and implementation of the EU is rich. The establishment of the European Union was not easy, taking into account that it required prior organization and unique treatment of variables that would operationalize the union. Enormous challenges characterized the establishment of the union, but as time went by, challenges were overcome and smoothening of the operational grounds achieved. The current success of the EU has been achieved over a significant period of time, within which diversity and dynamism have adopted to aid the process. However, the EU is not without its economic problems. The EU has been characterized by micro and macroeconomics problems in its economic and financial context. These problems will be evaluated in this paper alongside the future of the EU, in the context of the euro, enlargement of the EU and the economic characteristics therein. A Brief History of the EU Efforts to unite the European countries began in the twentieth century after the Second World War. Significant success was first realized in the year 1949 when some European countries began the uniting process under the umbrella of Council of Europe. One year later, a community by the name European Coal and Steel improved their cooperation and established a treaty that brought together six nations (Roland, 2005, Ch. 3). These nations made up the founding states of the EU, and even today they are recognized for this role. In the 1950s, a more pressing need to have the European nations emerged. This was during the cold war at the time, which saw the Eastern side of Europe divided from the Western side. Protests that characterized the cold war contributed to this division, raising a concern about the unification of the European community. In order to unite the two sides, the Rome Treaty was signed in the year 1957, allowing for the creation of European community that was at the time cal led the European Economic Community (Roland, 2005, Ch. 3). With the establishment of the community, people, goods and services could be moved across borders in the entire European community. As time went, more and more countries requested membership, thereby making the community grow larger and larger each year. The growth and development of the community necessitated the presence of a single market among the member states. Provisions of law were enacted to aid this process. Eventually, in the year 1989, the Eastern side of Europe was united with the Western side when the boundary between the two sides was eliminated. Since then and over the years, the united European community has grown larger and stronger with the incorporation and integration of more member states. The Modern EU The years between 1990 and 2000 were characterized by free practices of the single market

5 paraphrase six Assignment Example | Topics and Well Written Essays - 750 words

5 paraphrase six - Assignment Example Nadine’s story depicts the way the whites oppressed the other races hence gaining control of the country despite being the minority group. The apartheid system ensured that the blacks remained powerless. By denying them access to wealth, the whites maintained their authority over other races. For instance, blacks were not allowed to own large farms hence making their livelihood hard and slavery in nature. Moreover, the blacks happen to be divided and separated from their family members. Petrus works in Lerice’s farm while the rest of his family members are at Rhodesia. To make matters wise, it is considered a crime for his blood brother to come visiting him without a written permit (1322). He is referred as an alien and the police are even curious that Lerice might be hosting other non-registered blacks. Note that the authority understands that, unity could help blacks visualize white’s inhumane treatment and possibly react. African community is totally split, they are managed by different white masters and even forced to leave their African names that would identify them with clans but instead assigned E nglish names. In contrary, the whites were superior, could easily acquire land and wealth as well as decide their livelihood. Charter, easily acquires a farm and workers and is free to move from town to his farm. The author uses this difference in freedom of movement, to show that Africans were not poor by choice or laziness but the government system oppressed them to. Oppression is inhuman but the apartheid system portrayed the whites as superior. Gordimer uses Lerice to address the callous nature of treating blacks as inferior. Lerice and her husband have personal problems which make them move out of town. In contrary, Blacks can’t move freely, and the law condemns movement without permits. Upon settling in their newly bought farm, Lerice maintains her humanness and treats her employees as equal to her, she even looks after

Book of Prophet Isaiah Essay Example for Free

Book of Prophet Isaiah Essay Prophet Isaiah, the son of Amos, was descended from a royal tribe. Isaiah was born during the reign of King Uzziah, Jothan, Ahaz, Hezekiah and Jehovah. During his reign the nation as a whole enjoyed times of prosperity and temporal development. The whole nation mourned his passing from the scene at a time when his presence seemed needed the most. Under him the worship of Jehovah was encouraged but he was not strong enough to secure the destruction of the high places where idolatrous practices were continued. His reign must be ranked as one of the outstanding of the southern kingdom. He walked in the ways of his father, and under him the people continued to worship the Lord Jehovah after the manner of the commandment, though still the places of idolatry were allowed to remain. Ahaz, whose whole reign was one chronicle of disaster and destruction. With an absolute abandon, Ahaz gave himself over to the overthrow of the ordained order of worship, broke the commandment in almost every detail, destroyed the temple worship and finally closed the doors of the house of God. In the most calculated manner he conspired to obliterate the memory of the service of the Lord of all Israel, the Redeemer and the Holy One. Then he was followed on the throne by his son Hezekiah, who was very unlike his fathers and set about reviving the worship in the temple, which his father had abolished. He attempted, with some success to obliterate idol worship, and to deliver his people from the yoke of foreign power. It was under him that Isaiah came into his own, and was treated with high favour. In this position he was given every opportunity for the use of his keen and divinely inspired power of discernment into the facts of the contemporary situation. The name, Isaiah, means Jehovah saves, or Jehovah is salvation, and through days of crisis and disaster greater than any before in the history of the people, his call was constantly to faith in the One Who alone could save the land. His role was ever that of inspiring and challenging the drooping spirits of the men of Judah at times when hope seemed dead. His ministry was a long one stretching as it did through the reigns of Uzziah, Jothan, Ahaz and Hezekiah. His fathers name was Amoz, and there is a Jewish tradition that he was a brother of King Amaziah; in which case Isaiah would be the cousin of King Uzziah. Naturally enough, it is impossible to be really sure of this, but it is certainly a reasonable explanation of the fact that Isaiah enjoyed immediate and regular entrance to the royal house. And also that he had the ear of the most influential people of his day. In spite of this, he remained a simple and undaunted spokesman for Jehovah, and tradition again affirms that it was for this reason that he was put to death in the reign of the wicked Manasseh, Hezekiahs successor. He was married and he himself called his wife the prophetess (Isaiah 8:3). He had two children, one named Shear-jashubl, which means a remnant shall return, and the other Maher-shalalhashbaz, which means haste ye to the spoil. These names were given to them as portents of what was to come and also as a reinforcement of the prophets predictive message. Apart from this, there is little else known of his personal history except what is found in the book itself. The exact length of his ministry is not known for sure, but he definitely laboured for at least forty years. From the last year of King Uzziahs reign 740 B.C. to the fourteenth year of ther reign of King Hezekiah in 701 B.C. and it is clear that through all this period of time his call and challenge were unremitting and persistent. His aim was ever definite the establishment of the worship of the Lord in righteousness and truth amongst the chosen race. His Message Isaiahs prophecy, the longest of all the Old Testament prophecies divides first of all quite naturally into two parts, chapters 1-39, and 40-66. Because of this split, critics during the last century have seen fit to decide that two separate authors are responsible for the prophecy and that the second one was written some hundred years after the first one. Unfortunately, there is nothing in the prophecy itself by the way of names and such like to establish the truth or the falsehood of this statement. However the nature of the second part of the book seems to indicate that it was said to a nation at a time when they were in a completely different condition from that of the exile in Babylon, during which time some people maintain that it was written. As well as these two separate parts, the prophecy also divides into nine sections. The Book of Isaiah (Hebrew: × ¡Ã— ¤Ã— ¨ ×™× ©Ã— ¢Ã—™×”) is the first of the Latter Prophets in the Hebrew Bible, preceding Ezekiel, Jeremiah and the Book of the Twelve. (The order of the subsequent books differs somewhat in the Christian Old Testament). The first 39 chapters prophesy doom for a sinful Judah and for all the nations of the world that oppose God, while the last 27 prophesy the restoration of the nation of Israel and a new creation in Gods glorious future kingdom;[1] this section includes the Songs of the Suffering Servant, four separate passages referring to the nation of Israel, interpreted by Christians as prefiguring the coming of Jesus Christ.

Allocation of Resources in Cloud Server Using Lopsidedness

Allocation of Resources in Cloud Server Using Lopsidedness B. Selvi, C. Vinola, Dr. R. Ravi Abstract– Cloud computing plays a vital role in the organizations resource management. Cloud server allows dynamic resource usage based on the customer needs. Cloud server achieves efficient allocation of resources through virtualization technology. It addresses the system that uses the virtualization technology to allocate the resources dynamically based on the demands and saves energy by optimizing the number of server in use. It introduces the concept to measure the inequality in multi-dimensional resource utilization of a server. The aim is to enlarge the efficient resource utilization system that avoids overload and save energy in cloud by allocating the resources to the multiple clients in an efficient manner using virtual machine mapping on physical system and Idle PMs can be turned off to save energy. Index Terms-cloud computing, resource allocation, virtual machine, green computing. I. Introduction In cloud computing provides the service in an efficient manner. Dynamically allocate the resources to multiple cloud clients at the same time over the network. Now-a-Days many of the business organizations using the concept of cloud computing due to the advantage with resource management and security management. A cloud computing network is a composite system with a large number of shared multiple resources. These are focus to unpredictable needs and can be affected by outside events beyond the control. Cloud resource allocation management requires composite policies and decisions for multi-objective optimization. It is extremely difficult because of the convolution of the system, which makes it impracticable to have accurate universal state information. It is also subject to continual and unpredictable communications with the surroundings. The strategies for cloud resource allocation management associated with the three cloud delivery models, Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), differ from one another. In all cases, the cloud providers are faced with huge, sporadic loads that contest the claim of cloud flexibility. Virtualization is the single most efficient way to decrease IT expenses while boosting effectiveness and liveliness not only for large enterprise, but for small and mid budget organizations also. Virtualization technology has advantages over the following aspects. Run multi-operating systems and applications on a single computer. Combine hardware to get hugely higher productivity from smaller number of servers. Save 50 percent or more on general IT costs. Speed up and make things easier IT management, maintenance, and the consumption of new applications. The system aims to achieve two goals: The capability of a physical machine (PM) should be enough to satisfy the resource requirements of all virtual machines (VMs) running on it. Otherwise, the Physical machine is overload and degrades performance of its VMs. The number of PMs used should be minimized as long as they can still satisfy the demands of all VMs. Idle physical machine can be turned off to save energy. There is an intrinsic exchange between the two goals in the face of altering resource needs of VMs. For overload avoidance, the system should keep the utilization of PMs Low to reduce the possibility of overload in case the resource needs of VMs increase later. For green computing, the system should keep the utilization of PMs reasonably high to make efficient use of their energy. It presents the design and implementation of an efficient resource allocation system that balance between the two goals. The following aids are, The development of an efficient resource allocation system that avoids overload in the system effectively while minimizing the number of servers use. To introduce the concept of â€Å"lopsidedness† to measure the uneven utilization of a server. By minimizing lopsidedness, the system improves the overall utilization of servers in the face of multidimensional resource constraints. To implement a load prediction algorithm that can capture the future resource usages of applications accurately without looking inside the VMs. Fig.1 System Architecture II. System Overview The architecture of the system is presents in Fig.1. The physical machine runs with VMware hypervisor (VMM) that supports VM0 and one or more VMs in cloud server. Each VM can contain one or more applications residing it. All physical machines can share the same storage space. The mapping of VMs to PMs is maintains by VMM. Information collector node (ICN) collects the information about VMs resource status that runs on VM0. The virtual machine monitor creates and monitors the virtual machine. The CPU scheduling and network usage monitoring is manage by VMM. Assume with available sampling technique can measure the working set size on each virtual machine. The information collects at each physical machine and passes the information to the admin controller (AC). AC connects with VM Allocator that activated periodically and gets information from the ICN resource needs history of VMs, and status of VMs. The allocator has several components. The Indicator Indicates the future demands of virtual machine and total load value for physical machine. The ICN at each node attempts to satisfy the input demands locally by adjusting the resource allocation of VMs sharing the same VMM. The hotspot remover in VM allocator spots if the resource exploitation of any PM is above the Hot Point. If so, then some VMs runs on the particular PM will be move away to another PM to reduce the selected PM load. The cold spot remover identifies the system that is below the average utilization (Cold point) of actively used PMs. If so, then it some PMs turned off to save energy. Finally, the exodus list passes to the admin controller. III. The Lopsidedness Algorithm The resource allocation system introduces the concept of lopsidedness to measure the unevenness in the utilization of multiple resources on a server. Let consider n be the number of resources and let consider ri be the exploitation of the ith resource. To define the resource lopsidedness of a server p by considering r is the average utilization of resources in server p. In practice, not all types of resources are performance critical and then consider bottleneck resources in the above calculation. By minimizing the lopsidedness, the system can combine different types of workloads nicely and improve the overall utilization of server resources. A. Hot and Cold Points The system executes periodically to evaluate the resource allocation status based on the predicted future resource demands of VMs. The system defines a server as a hot spot if the utilization of any of its resources is above a hot threshold. This indicates that the server is overloaded and hence some VMs running on it should be migrated away. The system defines the temperature of a hot spot p as the square sum of its resource utilization beyond the hot threshold. Consider R is the set of overloaded resources in server p and rt is the hot threshold for resource r. (Note that only overloaded resources are considered in the calculation.) The temperature of a hot spot reflects its degree of overload. If a server is not a hot spot, its temperature is zero. The system defines a server as a cold spot if the utilizations of all its resources are below a cold threshold. This indicates that the server is mostly idle and a potential candidate to turn off to save energy. However, the system does so only when the average resource utilization of all actively used servers (i.e., APMs) in the system is below a green computing threshold. A server is actively used if it has at least one VM running. Otherwise, it is inactive. Finally, The system define the warm threshold to be a level of resource utilization that is sufficiently high to justify having the server running but not so high as to risk becoming a hot spot in the face of temporary fluctuation of application resource demands. Different types of resources can have different thresholds. For example, the system can define the hot thresholds for CPU and memory resources to be 90 and 80 percent, respectively. Thus a server is a hot spot if either its CPU usage is above 90 percent or its memory usage is above 80 percent. B. Hot Spot Reduction The system sort the list of hot spots in the system in descending temperature (i.e., the system handle the hottest one first). Our goal is to eliminate all hot spots if possible. Otherwise, keep their temperature as low as possible. For each server p, the system first decides which of its VMs should be migrated away. The system sort its list of VMs based on the resulting temperature of the server if that VM is migrated away. The system aims to migrate away the VM that can reduce the server’s temperature the most. In case of ties, the system selects the VM whose removal can reduce the lopsidedness of the server the most. For each VM in the list, the system sees if the system can find a destination server to accommodate it. The server must not become a hot spot after accepting this VM. Among all such servers, the system select one whose lopsidedness can be reduced the most by accepting this VM. Note that this reduction can be negative which means the system selects the server wh ose lopsidedness increases the least. If a destination server is found, the system records the migration of the VM to that server and updates the predicted load of related servers. Otherwise, the system moves onto the next VM in the list and try to find a destination server for it. As long as the system can find a destination server for any of its VMs the system consider this run of the algorithm a success and then move onto the next hot spot. Note that each run of the algorithm migrates away at most one VM from the overloaded server. This does not necessarily eliminate the hot spot, but at least reduces its temperature. If it remains a hot spot in the next decision run, the algorithm will repeat this process. It is possible to design the algorithm so that it can migrate away multiple VMs during each run. But this can add more load on the related servers during a period when they are already overloaded. The system decides to use this more conservative approach and leave the system s ome time to react before initiating additional migrations. IV. System Analysis In Cloud Environment, the user has to give request to download the file. This request will be store and process by the server to respond the user. It checks the appropriate sub server to assign the task. A job scheduler is a computer application for controlling unattended background program execution; job scheduler is create and connects with all servers to perform the user requested tasks using this module. In User Request Analysis, the requests are analyze by the scheduler before the task is give to the servers. This module helps to avoid the task overloading by analyzing the nature of the users request. Fist it checks the type of the file going to be download. The users request can be the downloading request of text, image or video file. In Server Load value, the server load value is identifies for job allocation. To reduce the over load, the different load values are assign to the server according to the type of the processing file. If the requested file is text, then the minimum load value will be assign by the server. If it is video file, the server will assign high load value. If it is image file, then it will take medium load value. In Server Allocation, the server allocation task will take place. To manage the mixed workloads, the job-scheduling algorithm is follow. In this the scheduling, depends upon the nature of the request the load values are assign dynamically. Minimum load value server will take high load value job for the next time. High load value server will take minimum load value job for next time. The aim is to enlarge the efficient resource utilization system that avoids overload and save energy in cloud by allocating the resources to the multiple clients in an efficient manner using virtual machine mapping on physical system and Idle PMs can be turned off to save energy. Fig. 2 Comparison graph IV. Conclusion It presented by the design, implementation and evaluation of efficient resource allocation system for cloud computing services. Allocation system multiplexes by mapping virtual to physical resources based on the demand of users. The contest here is to reduce the number of dynamic servers during low load without sacrificing performance. Then it achieves overload avoidance and saves energy for systems with multi resource constraints to satisfy the new demands locally by adjusting the resource allocation of VMs sharing the same VMM and some of not used PMs could potentially be turn off to save energy. Future work can on prediction algorithm to improve the stability of resource allocation decisions and plan to explore using AI or control theoretic approach to find near optimal values automatically. References [1] Anton Beloglazov and Rajkumar Buyya (2013), ‘Managing Overloaded Hosts For Dynamic Consolidation of Virtual Machines In Cloud Data Centers Under Quality of Service Constraints’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 7, pp. 1366-1379. [2] Ayad Barsoum and Anwar Hasan (2013), ’Enabling Dynamic Data And Indirect Mutual Trust For Cloud Computing Storage Systems’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 12, pp. 2375-2385. [3] Daniel Warneke, and Odej Kao (2011), ‘Exploiting Dynamic Resource Allocation For Efficient Parallel Data Processing In The Cloud’, IEEE Transactions on Parallel and Distributed Systems, Vol. 22, No. 6, pp. 985-997. [4] Fung Po Tso and Dimitrios P. Pezaros (2013), ‘Improving Data Center Network Utilization Using Near-Optimal Traffic Engineering’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 6, pp. 1139-1147. [5] Hong Xu, and Baochun Li (2013), ‘Anchor: A Versatile and Efficient Framework for Resource Management in The Cloud’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 6, pp. 1066-1076. [6] Jia Rao, Yudi Wei, Jiayu Gong, and Cheng-Zhong Xu (2013), ‘Qos Guarantees And Service Differentiation For Dynamic Cloud Applications’, IEEE Transactions on Network and Service Management, Vol. 10, No. 1, pp. 43-54. [7] Junwei Cao, Keqin Li,and Ivan Stojmenovic (2013), ‘Optimal Power Allocation and Load Distribution For Multiple Heterogeneous Multicore Server Processors Across Clouds and Data Centers’, IEEE Transactions on Computers, Vol. 32, No. 99, pp.145-159. [8] Kuo-Yi Chen, Morris Chang. J, and Ting-Wei Hou (2011), ‘Multithreading In Java: Performance and Scalability on Multicore Systems’, IEEE Transactions On Computers, Vol. 60, No. 11, pp. 1521-1534. [9] Olivier Beaumont, Lionel Eyraud-Dubois, Christopher Thraves Caro, and Hejer Rejeb (2013), ‘Heterogeneous Resource Allocation Under Degree Constraints’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 5, pp. 926-937. [10] Rafael Moreno-Vozmediano, Ruben S. Montero, and Ignacio M. Llorente (2011), ‘Multicloud Deployment Of Computing Clusters For Loosely Coupled MTC Applications’, IEEE Transactions on Parallel and Distributed Systems, Vol. 22, No. 6, pp. 924-930. [11] Sangho Yi, Artur Andrzejak, and Derrick Kondo (2012), ‘Monetary Cost-Aware Checkpointing And Migration on Amazon Cloud Spot Instances’, IEEE Transactions on Services Computing, Vol. 5, No. 4, pp. 512-524. [12] Sheng Di and Cho-Li Wang (2013), ‘Dynamic Optimization of Multiattribute Resource Allocation In Self-Organizing Clouds’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 3, pp. 464-478. [13] Xiangping Bu, Jia Rao, and Cheng-Zhong Xu (2013), ‘Coordinated Self-Configuration of Virtual Machines And Appliances Using A Model-Free Learning Approach’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 4, pp.681-690. [14] Xiaocheng Liu, Chen Wang, Bing Bing Zhou, Junliang Chen, Ting Yang, and Albert Y. Zomaya (2013), ‘Priority-Based Consolidation Of Parallel Workloads In The Cloud’, IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 9, pp. 1874-1883. [15] Ying Song, Yuzhong Sun, and Weisong Shi(2013), ‘A Two-Tiered On-Demand Resource Allocation Mechanism For VM-Based Data Centers’, IEEE Transactions on Services Computing, Vol. 6, No. 1, pp. 116-129.  ­Ã‚ ­Ã‚ ­

England Changed My Life :: Personal Narrative essay about myself

England Changed My Life    Question Answered: Recall a multicultural experience that has positively impacted your educational career. Discuss your experience and describe the ways in which you have benefited from this experience.    It all started with an unfortunate and disheartening circumstance. The father of my oldest and dearest friend, Caitlin, had been transferred. Caitlin would no longer be living down the street from me. In fact, she would be over 4,000 miles away just south of London, England. To a pair of twelve year old girls, England was an unimaginable land of tea-drinking fops living on an island almost an eternity away. Needless to say, the day of her departure was an unhappy one. However, three years older and a world wiser, we girls have come to appreciate and even enjoy the influence this situation has upon our lives.    Six months after Caitlin and her family moved away from Pittsburgh, I found myself in plane destined for Heathrow airport. Not only did I arrive with an unnecessary amount of luggage, but also a head full of pre-conceived notions. First and foremost, I believed that everywhere in the world would be exactly like the United States. This idea was proven false five minutes after stepping off the plane. Walking into the parking lot, I took notice of a petty detail I would have otherwise been oblivious to. The license plates were strikingly different! This simple aspect was enough to make me realize that I was no longer at home. Throughout that first day, many stereotypes of the English that I had long believed were each erased from my mind. As it turns out, not everyone likes to drink tea, there isn't a garden party every evening, and the Queen most definitely does not ride around in a horse-drawn carriage with a magnificent entourage all day greeting the simple peasant folk. Luckily, I r ealized these things before I had an opportunity to make a fool of myself and severely offend the people I met.    Not only did my experience in England increase my social aptitude, but also greatly improved my understanding of the world as a whole. When I returned to school in the following months, I could grasp the concept of different cultures and countries. They were no longer simply spots on a map, but real places filled with interesting people leading fascinating lives.

Internet Scams Essay -- Computer Fraud Fraudulent

Internet Scams From the comfort of an internet user’s own home they truly have the world at their finger tips. They have access to a Global Market place through the internet. Cyberspace offers unlimited options for quick and easy ways to shop, find investment opportunities, communicate, and much more. Unfortunately however, in today’s world fraudsters also find the internet to be a quick and easy way to fool and rob unsuspecting surfers with false advertising and false promises. The fraudsters target those who do not know how to determine the validity of online offers and sales. According to the National Fraud Information Center (NFC) there were 36,802 complaints of internet fraud in 2002, and the complaints increased to 37,183 in 2003 (Internet Scams). This growing problem affects internet users everywhere, who can lose hundreds of dollars to these cunning, ruthless scam artists. According to the NFC undelivered or misrepresented goods or services from auction websites made up 89% of scam complaints in 2003 (Internet Scams). In his article entitled â€Å"Sleaze Bay,† David Freedman explains why auction websites are so appealing for fraudsters: â€Å"As is true of much of the Web, the characteristics that make auction sites so appealing—anonymity, speed, low overhead, access to millions of people, lack of outside regulation, an ability to interact from a great distance—are the very same characteristics that make rip-offs so easy† (1). According to Freedman, sites such as E-bay may be subject to shill bidding; a practice against E-bay rules that is often illegal. Shill bidding involves a seller, their friends, family, or other sellers bidding to entice other bidders to join and raise their profits. This is based on the idea that â€Å"†¦bi... ...ainst internet fraud. Works Cited Fleitas, Amy. Internet Spam Spawns Scams. Bankrate, Inc. 22, Apr. 2004 http://www.bankrate.com/brm/news/advice/20021025b.asp Freedman, David. â€Å"Sleaze Bay.† Forbes. (2000) : 5 pgs. 22 Apr. 2004 http://www.forbes.com/asap/2000/1127/134.html FTC Names Its Dirty Dozen. Federal Trade Commission. 22 Apr. 2004 http://www.ftc.gov/bcp/conline/pubs/alerts/doznalrt.htm Hendersen, Les. Pyramid Schemes. 22 Apr. 2004 http://www.crimes-of-persuasion.com/Crimes/Delivered/pyramids.htm Internet Scams. National Fraud Information Center. 22 Apr. 2004 http://www.fraud.org/2003internetscams.pdf Lanford, Jim and Audri. Internet ScamBusters. 22 Apr. 2004 http://www.scambusters.org/index.html Online Shopping. Office of Fair Trading. 22 Apr. 2004 http://www.oft.gov.uk/Consumer/Your+Rights+When+Shopping+From+Home/Online+shopping.htm

Unequal Distribution of Power

Marxist speaks about the unequal distribution of power and wealth and resources in a society. They believe the ones with the resources in a society. They believe that the ones with the resources are the ones oppressing those without those resources. Marxist links their theory to deviance by saying because some have access to fewer resources in the Capitalist society they are seen as more likely to commit crime. Marxist speaks about the upper classes using their power influence and their wealth to hide their crimes and deviant behaviours.They buy their way out of trouble by hiring attorneys and using bribes. Marxist thought to argue that deviance is deliberately chosen and often political in nature. They rejected the idea that deviance is ‘determined’ by factors such as biology, personality, anomie, social disorganization or labels. Rather they argued, individuals actively choose to engage in deviant behaviour respond to the inequalities of the capitalist system. Because this is so, they set up a system where there is something such as social control agents these are they who administer the response to deviance such as police and the army.Although the oppressed groups in society (proletariat) may behave or act deviant, whether or not they do they are more likely to be labelled deviant. For instance in Trinidad there is some communities that are seen as or labelled as deviant places because of its crime rate. Although, not everyone living there are criminals are categorized or group together with that so called deviant community. For instance someone who lives in Lavantille may go to an interview has all the qualifications but because he/ she resides there they may not be ‘‘qualified’’ for the job.The other social classes are not crime-free, the ruling groups in society develop means and mechanisms to protect their interest according to conflict theorist who argue that laws are created protect and sustain the capitalist. Alt hough the public seems to think that the lower classes are more likely commit crime, white-collar workers also commit many crimes. White collar criminal activity in Trinidad and Tobago, though hardly ever reported is not un-noticed. It exists at various levels of society both in the public and private sector.However, the merits or demerits of any allegation of wrongdoings made are hardly ever thoroughly investigated, and almost never comes before a criminal court. It is instead ascribed to poor corporate governance rather than deliberate criminal acts. The police or some rather of this small Caribbean island of Trinidad are very corrupt they will commit wrongful doings of all kind and yet still walk freely like it is normal. It is indeed true that they are protected by their own kind.