Software Based Approach : Hardware

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RQ3: Cost. Can SEEDS provide decision-making support to the software engineer with regard to energy consumption implications at a reasonable cost?

Q1: Briefly explain designing requirements that’s are required when designing the hardware and software infrastructure:

The energy is more consumed by datacentre, information system and all computers so we should reduce the use or use it as per need.

Miller Inc. requires a transaction processing system since the volume of transaction has increase beyond the normal capacity for performing server and disk bound tasks which are associated with querying and reporting. Miller Inc.'s system utilizes servers and disks that are not used by the transaction processing system. Therefore a data warehouse will provide the quickest way to process transactions within a reasonable amount of time. It also allows for less server and disk resources to be utilized which is expected to reduce the transaction processing time considerably and thus help in speeding up the system overall. It is also expected that running queries and reports which normally use up a lot of the limited system resources will be speeded up since the data warehousing architecture uses separate servers and disks for querying and reporting.

Application software, also known as an application or an "app", is computer software designed to help the user to perform specific tasks. Application software is contrasted with system software and middleware, which manage and integrate a computer's capabilities, but typically do not directly apply them in the performance of tasks that benefit the user. The system software serves the application, which in turn serves the user.()Application software is usually designed for end users and most are user friendly. Application software applies the power of a particular computing platform or system software to a particular purpose. There are many ways to obtain application software: “Commercial software, Public-domain

Within a Streamlined Data Refinery storage, data transformations, and query serving can be called into action by using products that are a match to existing skills and infrastructure. Since PDI jobs and transformations are flexible, this allows IT developers to run workloads in Hadoop in a

The element such as circuit technology, approaches, architectures, and algorithms greatly impact the total power dissipated in the system. Optimizing technology will require choosing suitable hardware components such as peripheral devices, processors, memory, power sources. The power optimization method are related to hardware as well as software implementation.

Algorithm Efficiency:- To measure an algorithm performance ,we calculate the ‘complexity of an algorithm’ which is a function in terms of data that an algorithm must solve and analyze, when input values are of definite size. A technique for the improvement of memory and space of an algorithm is called ‘time and space trade off.’ Efficiency of algorithm is measured by its

with both a Zip drive and a Disk drive. We will use Zip disks to store

. These days, there are numerous processors available which can satisfy all type of requirements for whichever budget. For instance, one of the more affordable but less performing is Cortex A7 (sold by ARM)[15]. The Cortex A59, the most common one with a frequency of 1.2 Ghz, is interesting in terms of power without being too claimant of energy. Still, they are both dethroning by the upscale Cortex A15 or A57. Consequently, developers have to anticipate the efficiency of their apps, once initiated, determined by different processor types, adding it as another variable non inconsequential. Another challenge related is the RAM which is more efficient with its capacity. It also plays an important role in improving reactivity when browsing. However, the more the processor is productive, the more it will reduce the electric load on the battery quickly, as Cortex A16. This raise a new issue: battery.

Question 1: What is Architecture? Why It is Important to Create an Architecture for a Software Product?

D. Horie et al. (2008)[26] Modern day's queries are posed on database spread across the globe, this may impose a challenge on processing queries efficiently, and a strategy is required to generate optimal query plans. In distributed relational database systems, due to partitioning or replication on relations at multiple sites, the relations required by a query to answer, may be stored at multiple sites. This leads to an exponential increase in the number of possible equivalent alternatives or query plans for a user query. Though it is not computationally reasonable to explore exhaustively all possible query plans in a large search space, the query plan with most cost-effective option for query processing is measured necessary and must be

When studying multi-platform solutions it becomes very clear that fundamental goal is striving to achieved by all. The seamless delivery of rich media, information and applications to any device, regardless of transport, distribution system or user interface, providing the consumer with seamless, integrated and interactive access and management of their entertainment and communication services. A sound platform management solution needs to be integrated out-of-the-box, provide simplicity to solve a customer 's cost, and skill problems. As business move to incorporate more Storage Area Network (SAN) solutions, huge data centers, mobile devices ,and increasing cost. The need for such comprehensive platform management solutions are growing ever so important as managing the resources within your enterprise become increasingly critical and more complex. Many factors play a role in this increase, including the prevalence of networks, the increased dependency on IS resources, and the growing complexity of IS environments. The need for multi-platform solutions not only apply to the corporate communities but extend to the military and medical communities as well.

S. Nikolaidis, N. Kavvadias, T. Laopoulos, L. Bisdounis, S. Blionas [7]Author created a new proposed work for instruction level energy models for pipelined processors is introduced. This work is based on measuring the instantaneous current drawn by the processor during the execution of the instructions. An appropriate instrumentation set up was established for this purpose. According to the proposed method the energy costs (base and inter-instruction costs) are modeled in relation to a reference instruction (e.g. NOP). These costs incorporate inter-cycle energy components, which cancel each other when they are summed to produce the energy consumption of a program resulting in estimates with high accuracy. This is confirmed by the results. Also the dependencies of the energy consumption on the instruction parameters (e.g. operands, addresses) are studied and modeled in an efficient way.The proposed method has been applied to the ARM7TDMI processor providing an error in estimating of energy consumption of real software kernels less than