Update README.md

Author: MarcBaeuerle

README.md

@@ -1,8 +1,64 @@
-### Data
+# TCO₂: Total Cost of Ownership
+A tool for quantifying the total CO2 cost of ownership of database servers.
+
+## Paper
+[A Case for Ecological Efficiency in Database Server Lifecycles](https://hpi.de/oldsite/fileadmin/user_upload/fachgebiete/rabl/publications/2025/serverlifecycles_cidr2025.pdf)
+
+## Web Interface
+![tco2 screenshot (5)](https://github.com/user-attachments/assets/a933cf22-9561-4572-a8eb-c0199676a180)
+### Section 1 - Server Configurations
+Users can configure CPU, DRAM, SSD, and HDD of an existing server to compare 
+it with another setup and asses its CO₂ emissions relative to its own embodied carbon.
+
+### Section 2 - Benchmark Settings
+This section enables users to modify the type of workload, the percentage of 
+server utilization, and the intensity of carbon of the grid based on the 
+location of the server.
+
+Workload Types:
+- **SPECrate** – Measures multi-threaded performance, simulating
+environments such as databases and web servers
+- **SPECspeed** – Evaluates single-threaded performance for general purpose tasks such as
+data compression and text processing. We use publicly available measurements for both, SPECrate and SPECspeed.
+- **Sorting** – A common yet computationally challenging task that
+is difficult to fully parallelize. A vector of four billion random integer
+values (uint32_t, 16GB) is generated, then the time to sort the
+entire vector is measured.
+- **TPC-H** – Assesses analytical database performance by running
+TPC-H workloads with a scale factor of 10 and 25 read-only query
+streams on the open-source in-memory database system Hyrise [5].
+We collect measurements for Sorting and TPC-H experimentally in
+our lab
+
+Other Settings:
+- **Server Utilization** – Defined as the ratio of queries per second
+to the maximum possible queries per second. According to
+the findings of Barroso and Hölzle, who monitored thousands
+of Google servers over six months, servers typically operate at
+between 10% and 50% of their maximum theoretical capacity rather
+than being idle or running at peak levels.
+- **Grid Carbon Intensity (GCI)** – The GCI also plays a crucial role
+in predicting the ecological impact of upgrading components. The
+carbon intensity of a country’s power grid measures the CO2 emissions per kilowatt-hour of electricity produced.
+
+### Section 3 - Break-Even Analysis
+The break-even time is visualized on a line chart, allowing users to assess 
+the accumulated CO2 emissions across different configurations.
+
+### Section 4 - Detailed Breakdown
+Additional key data points, such as break-even time, grid carbon intensity,
+embodied carbon of new hardware, total carbon footprint until break-even,
+workload performance indicator, and breakdowns of the embodied and operational 
+carbon footprint are provided to give further insights into each comparison. 
+These data points along with the line chart are then dynamically updated to 
+reflect any changes made to the parameters.
+
+
+## Data
 
 |File|Description|
 |----|-----------|
 |cpu2006-results-20240723-164205.csv|SPEC CPU 2006|
 |cpu2017-results-20240723-171407.csv|SPEC CPU 2017|
 |tpc_cpu.csv|TPC-H/C most used CPU + TDP|
-|intel_cpus.csv|Incel CPU information crawled from https://ark.intel.com|
+|intel_cpus.csv|Intel CPU information crawled from https://ark.intel.com|