☁Cloud-Computing

Cloud Computing: An Overview Cloud shifted the paradigm from owning hardware to renting computing resources on-demand. Hardware became a service. Key Players in the Cloud Industry The cloud computing market is dominated by several major providers, often referred to as the “Big Seven”, also called hyper-scalers. They are usually not interested in making it interoperable (they prefer the lock-in). Amazon Web Services (AWS): The largest provider, offering a comprehensive suite of cloud services. Microsoft Azure: Known for deep integration with enterprise systems and hybrid cloud solutions. Google Cloud Platform (GCP): Excels in data analytics, AI/ML, and Kubernetes-based solutions. IBM Cloud: Focuses on hybrid cloud and enterprise-grade AI. Oracle Cloud: Specializes in database solutions and enterprise applications. Alibaba Cloud: The leading provider in Asia, offering services similar to AWS. Salesforce: A major player in SaaS, particularly for CRM and business applications. These providers collectively control the majority of the global cloud infrastructure market, enabling scalable and on-demand computing resources for businesses worldwide. Capital and Operational Expenses in the Cloud Definition for CapEx and OpEx Cloud computing transforms traditional IT cost structures by shifting expenses from capital expenditures (CapEx), such as purchasing servers and data centers, to operational expenditures (OpEx), where users pay only for the resources they consume. ...

Reliability is the ability of a system to remain operational over time, i.e., to offer the service it was designed for. Cloud Hardware and software fails. In this note, we will try to find methods to analyze and predict when components fail, and how we can prevent this problem. Defining the vocabulary Reliability and Factors of Influence Reliability is the probability that a system will perform its intended function without failure over a specified period of time. There are many factors that influence this value: ...

Object Stores Characteristics of Cloud Systems Object storage design principles We don’t want the hierarchy that is common in Filesystems, so we need to simplify that and have these four principles: Black-box objects Flat and global key-value model (trivial model, easy to access, without the need to trasverse a file hierarchy). Flexible metadata Commodity hardware (the battery idea of Tesla until 2017). Object storage usages Object storage are useful to store things that are usually read-intensive. Some examples are ...

We have resources, but need to know how to assign these to the jobs that need them. This note presents some of the most common resource management policies for cloud clusters. Introduction to cluster management How can we allocate the resources in a cluster in an efficient manner? How can we allocate resources fairly? Two step allocations There are two main kinds of allocation: first you need to allocate resources to a process, then allocate the process physically in the cluster. We have seen an example of a working infrastructure in Cluster Resource Management. ...

We need to find an efficient and effective manner to allocate the resources around. This is what the resource management layer does. Introduction to the problem What is Cluster Resource Management? Most of the time, the user specifies an amount of resources, and then the cluster decides how much to allocate (but approaches like (Delimitrou & Kozyrakis 2014), do it differently). There are mainly two parts in cluster resource management: Allocation: deciding how many resources an application (techniques for this is presented in Cluster Management Policies. Assignment: from which physical machine you can effectively put the application. Types of management architectures We mainly divide the management architectures in three ways: ...

How can we coordinate services to actually understand what they are doing, or what the user wants them to do? How to manage networks errors? This note will mainly focus on high level communication protocols to coordinate this kind of communication. Remote Procedure Calls History: the Stub This has been the main idea, introduced in 1984, using the idea of stubs, see (Birrell & Nelson 1984). The system basically calls the remote procedure as if it was local on the high level, but on a lower level a network request is sent. The architecture has remained the same in these years. It hides all the complexity in the stub (marshaling, binding and sending, without caring about the sockets and communication matters). One problem is that it might be hiding the complexity too well. The programmer has surely an ease of programming, but design consideration should consider overloads generated by the network communication. ...

This allows us to extend the memory hierarchy (see Memoria) that we have today. The problem is that we have heterogeneous access patterns specifications and hardware. One of the main trends is disaggregation: we want to be able to scale different resources independently. Introduction to CXL (Compute Express Link) This is a new part of the memory hierarchy. NVM is a kind of non volatile memory that is used as a storage device that is close to the device (others are network attached or slower than network part anyways. It is persistent and has low latency. It is used in the memory hierarchy to extend the memory capacity. ...

pWith confidential computing we want to guarantee confidentiality and integrity of a user’s computation running on a remote (cloud) system, including: The program Its inputs and outputs Intermediate state, control flow, etc. Even if do not trust the cloud provider! Usually it is easy to guarantee that kind of privacy if you are storing or communicating using encryption methods (see Asymmetric Cryptography, Block Ciphers), but it’s difficult to do so if the program is running. ...

Containers In this note, we introduce the famous docker containers. We also explore how #Linux Containers are implemented, and some parts of how #Docker works. What is a Container We have explored Virtual Machines in some past section. Containers do not virtualize everything, but just the environment where the application is run. This includes: Libraries Binaries We can see it as a lightweight VM, even if they do not offer the full level of isolation of traditional virtual machines. ...

CDNs are intermediary servers that replicate read intensive data to provide better performance when user requests them. A close relative of CDNs is edge computing (e.g. gaming stations) where lots of computation is done directly close to the user. Types of CDNs Mainly three types of CDNs: Highly distributed ones. -> Akamai Database based ones. Ad-hoc CDNs. Advantages and disadvantages The main reason we use CDNs is to lower the value of latency: we are in fact bringing the data closer to the user. We have much less data in length to be transmitted. Yet we have some disadvantages too: ...