Abstract:
Methods and apparatus for datacenter power management optimization are disclosed. Metrics, including workload data, thermal measurements and the like are collected from numerous endpoints within a datacenter. System profiles of a plurality of servers, and application workload profiles for various workloads, are stored. Based on analysis of collected metrics, power optimization operations comprising either workload scheduling operations, power configuration change operations, or both, are initiated.
Abstract:
Techniques are described for allocating resources to a task from a shared hardware structure. A plurality of tasks may execute on a processor, wherein the processor may include one or more processing cores and each task may include a plurality of computer executable instructions. In accordance with one technique for allocating resources to a task from a shared hardware structure amongst multiple tasks, aspects of the disclosure describe assigning a first identifier to a first task from the plurality of tasks, associating a portion of the shared hardware resource with the first identifier, and restricting access and/or observability for computer executable instructions executed from any other task than the first task to the portion of the hardware resource associated with the first identifier.
Abstract:
Data payloads that may not be accessible to customer computing devices may be utilized to verify network address ownership. In some examples, a first payload may be provided to a computing device having an address. Additionally, a second payload may be received from the computing device. Based at least in part on a relationship between the first payload and the second payload, an action associated with the address may be performed.
Abstract:
A trusted computing host is described that provides various security computations and other functions in a distributed multitenant and/or virtualized computing environment. The trusted host computing device can communicate with one or more host computing devices that host virtual machines to provide a number of security-related functions, including but not limited to boot firmware measurement, cryptographic key management, remote attestation, as well as security and forensics management. The trusted computing host maintains an isolated partition for each host computing device in the environment and communicates with peripheral cards on host computing devices in order to provide one or more security functions.
Abstract:
A trusted peripheral device can be utilized with an electronic resource, such as a host machine, in order to enable the secured performance of security and remote management in the electronic environment, where various users might be provisioned on, or otherwise have access to, the electronic resource. The peripheral can have a secure channel for communicating with a centralized management system or service, whereby the management service can remotely connect to this trusted peripheral, using a secure and authenticated network connection, in order to run the above-described functionality on the host to which the peripheral is attached.
Abstract:
Methods and apparatus for a configurable-quality random data service are disclosed. A method includes implementing programmatic interfaces enabling a determination of respective characteristics of random data to be delivered to one or more clients of a random data service of a provider network. The method includes implementing security protocols for transmission of random data to the clients, including a protocol for transmission of random data to trusted clients at devices within the provider network. The method further includes obtaining, on behalf of a particular client and in accordance with the determined characteristics, random data from one or more servers of the provider network, and initiating a transmission of the random data directed to a destination associated with the particular client.
Abstract:
A privileged cryptographic service is described, such as a service running in system management mode (SMM). The privileged service is operable to store and manage cryptographic keys and/or other security resources in a multitenant remote program execution environment. The privileged service can receive requests to use the cryptographic keys and issue responses to these requests. In addition, the privileged service can measure the hypervisor at runtime (e.g., either periodically or in response to the requests) in an attempt to detect evidence of tampering with the hypervisor. Because the privileged service is operating in system management mode that is more privileged than the hypervisor, the privileged service can be robust against virtual machine escape and other hypervisor attacks.
Abstract:
A processor on a host machine can concurrently operate a standard virtual machine manager (VMM) and a security VMM (SVMM), where the SVMM has a higher privilege level and manages access to a hardware TPM or other trusted source on the host machine. Such a configuration prevents a compromised VMM from gaining access to secrets stored in the hardware TPM. The SVMM can create a virtual TPM (vTPM) for each guest VM, and can seal information in each vTPM to the hardware TPM. A guest VM or the standard VMM can access information in the corresponding vTPM only through the corresponding SVMM. Such an approach enables the host to securely implement critical security functionality that can be exposed to customers, and provides protection against leakage of customer secrets in case of a security compromise.
Abstract:
A device is provisioned and authorized for use on a network. The device may generate a cryptographic key and provide a digital certificate the cryptographic key, a hardware identifier, and attribute information and provide such information to an authorization host as part of the provisioning process. The authorization host may use attribute information to determine whether to authorize the device for use on the network, and whether the generated cryptographic key should be trusted for use on the network.
Abstract:
A graph of a plurality of resources in a computing environment is generated, with the graph associating a first resource of the plurality with a second resource of the plurality. Based at least in part on measurements obtained at a point in a test computing environment that corresponds to a point in the computing environment, a graph representing the relationship between the first resource and the second resource is generated. A threat model identifying potential risks to the computing environment is created from the graph.