WORKFLOW OF THE PROCESS IN SPM
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The document outlines the various workflows that make up the software development process, including management, environment, requirements, design, implementation, assessment, and deployment workflows. It describes the key activities for each workflow, such as controlling the process, evolving requirements and design artifacts, programming components, assessing product quality, and transitioning the product to users. The document also notes that iterations consist of sequential activities that vary depending on where an iteration falls in the development cycle.
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Vm migration techniques
Vm migration techniquesgarishma bhatia This document discusses different techniques for virtual machine migration. It begins with an introduction to virtualization and how virtual machine migration involves copying a VM from one physical machine to another. There are three main categories of migration techniques: fault tolerant techniques which migrate VMs to prevent failures, load balancing techniques which distribute load across servers, and energy efficient techniques which optimize resource utilization to conserve energy. Live VM migration is described as migrating the entire OS and applications between physical machines without disrupting applications. The document also covers background details on virtual machine migration methods being either hot/live where the VM continues running, or cold/non-live where the VM status is lost during migration.
Denial of service
Denial of servicegarishma bhatia This document discusses denial of service (DoS) and distributed denial of service (DDoS) attacks. It defines DoS attacks as attempts to render a system unusable or slow it down for legitimate users by overloading its resources. DDoS attacks multiply the effectiveness of DoS by using multiple compromised computers to launch attacks simultaneously. Common DoS attack types like SYN floods, Smurf attacks, and ping of death are described. The rise of botnets, which are networks of compromised computers controlled remotely, enabled more powerful DDoS attacks. Mitigation strategies include load balancing, throttling traffic, and using honeypots to gather attacker information.
Iot + cloud
Iot + cloudgarishma bhatia This document discusses Internet of Things (IoT) and cloud computing. It defines IoT as connecting physical objects to the internet and collecting data from sensors. The cloud provides shared computing resources over the internet. The document outlines an IoT architecture with things, gateways, and a network/cloud. Gateways interface devices like sensors to the cloud using protocols like RS-485 and WiFi. The cloud provides services like software, platforms and infrastructure on a pay-per-use basis.
MULTILEVEL QUEUE SCHEDULING
MULTILEVEL QUEUE SCHEDULINGgarishma bhatia Multilevel queue scheduling divides processes into groups based on properties like type and resource usage. These groups are placed into multiple queues, each with a different priority level. Higher priority queues like the system process queue use scheduling algorithms like FCFS, while lower priority queues like the student process queue use priority scheduling. This approach allows different scheduling optimizations based on the process type compared to a single queue approach. A disadvantage is the potential for lower priority processes to starve if higher priority processes monopolize resources.
Constructor overloading & method overloading
Constructor overloading & method overloadinggarishma bhatia This document discusses constructor overloading in Java. It defines constructors as special methods that initialize objects. There are two types of constructors: default (no-argument) constructors and parameterized constructors. Constructor overloading allows a class to have multiple constructors that differ in their parameter lists. This allows constructors to perform different initialization tasks depending on the arguments passed. The document provides examples of default, parameterized, and overloaded constructors.
MULTIPLE ACCESS PROTOCOL COMPUTER NETWORKS 
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BLOCKCHAIN TECHNOLOGY
BLOCKCHAIN TECHNOLOGYgarishma bhatia Blockchain is a decentralized database that maintains a continuously growing list of records called blocks. Each block contains transaction data and a link to the previous block. The first block is special as it has no preceding block. Blocks are linked through cryptography, forming a chain. Miners process transactions by solving complex math problems to find new blocks and receive rewards. The first application was Bitcoin, solving the double spending problem without a central authority. Other applications include Ethereum, Litecoin, Ripple, and SolarCoin. Key variables that impact the blockchain include block size, header size, and transaction size.
Knapsack problem
Knapsack problemgarishma bhatia The document discusses different types of knapsack problems. It provides an example of a 0/1 knapsack problem where items must either be fully included or excluded from a knapsack with limited capacity. Brute force and greedy algorithms are presented as approaches to solve such problems. The document also briefly introduces fractional knapsack problems and provides pseudocode for a greedy algorithm solution.
PRIM'S ALGORITHM
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Data Algorithms And Analysisgarishma bhatia Prim's algorithm is a greedy algorithm that finds a minimum spanning tree for a weighted undirected graph. It works by starting with a single vertex, and at each step adding the edge with the minimum weight that connects the growing spanning tree to another vertex not yet included in the tree, as long as this does not create a cycle. The time complexity of Prim's algorithm is O(V log V + E).
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WIFI TECH
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MATCHING GRAPH THEORY
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Firstly from Michael Dooley we have a feature article about ammonia ion selective electrodes and their online applications
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Using the Artificial Neural Network to Predict the Axial Strength and Strain ...Journal of Soft Computing in Civil Engineering The main purpose of the current study was to formulate an empirical expression for predicting the axial compression capacity and axial strain of concrete-filled plastic tubular specimens (CFPT) using the artificial neural network (ANN). A total of seventy-two experimental test data of CFPT and unconfined concrete were used for training, testing, and validating the ANN models. The ANN axial strength and strain predictions were compared with the experimental data and predictions from several existing strength models for fiber-reinforced polymer (FRP)-confined concrete. Five statistical indices were used to determine the performance of all models considered in the present study. The statistical evaluation showed that the ANN model was more effective and precise than the other models in predicting the compressive strength, with 2.8% AA error, and strain at peak stress, with 6.58% AA error, of concrete-filled plastic tube tested under axial compression load. Similar lower values were obtained for the NRMSE index.
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This webinar overviews proven methods for collaborating with USDOT University Transportation Centers (UTCs), emphasizing state departments of transportation and other stakeholders. It will cover partnerships at all UTC stages, from the Notice of Funding Opportunity (NOFO) release through proposal development, research and implementation. Successful USDOT UTC research, education, workforce development, and technology transfer best practices will be highlighted. Dr. Larry Rilett, Director of the Auburn University Transportation Research Institute will moderate.
For more information, visit: https://aub.ie/trbwebinars
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WORKFLOW OF THE PROCESS IN SPM
- 1. Work Flow of the Process By : Garishma Bhatia
- 2. Content • Software Process Workflows • Iteration Workflows
- 3. Software Process Workflows 1. Management workflow 2. Environment workflow 3. Requirements workflow 4. Design workflow 5. Implementation workflow 6. Assessment workflow 7. Deployment workflow
- 4. Management workflow • Controlling the process • Ensuring win-win conditions for the stakeholders.
- 5. Environment workflow • Automating the process. • Evolving the maintenance Environment.
- 6. Requirements workflow • Analyzing the problem space. • Evolving the requirement artifact.
- 7. Design workflow • Modeling the Solution. • Evolving the Architecture and design aritfacts.
- 8. Implementation workflow • Programming the components. • Evolving the implementation and deployment Artifacts.
- 9. Assessment workflow • Assessing the trends in process. • product quality.
- 10. Deployment workflow • Transitioning the end product to the user.
- 12. Iteration Workflows • An iteration consist of sequential set of activities in various proportions, depending on where the iteration is located in the development cycle.
- 15. Thank you