In the ongoing evolution of the OceanBase database system, it is essential to enhance its adaptability to small-scale enterprises. The OceanBase database system has demonstrated its stability and effectiveness within the Ant Group and other commercial organizations, besides through the TPC-C and TPC-H tests. In this paper, we have designed a stand-alone and distributed integrated architecture named Paetica to address the overhead caused by the distributed components in the stand-alone mode, with respect to the OceanBase system. Paetica enables adaptive configuration of the database that allows OceanBase to support both serial and parallel executions in stand-alone and distributed scenarios, thus providing efficiency and economy. This design has been implemented in version 4.0 of the OceanBase system, and the experiments show that Paetica exhibits notable scalability and outperforms alternative stand-alone or distributed databases. Furthermore, it enables the transition of OceanBase from primarily serving large enterprises to truly catering to small and medium enterprises, by employing a single OceanBase database for the successive stages of enterprise or business development, without the requirement for migration. Our experiments confirm that Paetica has achieved linear scalability with the increasing CPU core number within the stand-alone mode. It also outperforms MySQL and Greenplum in the Sysbench and TPC-H evaluations.

Group communication is a one-to-many communication pattern that distributes data from one sender to multiple receivers. Multicast as a group communication method is extensively employed in content distribution scenarios, such as IP-based cable TV, live streaming, video conference, data delivery, etc. Since application-layer multicast cannot touch network elements, it suffers from inefficient network utilization. Some existing network-assisted multicast are limited by scalability issues caused by the inability to maintain a sharply increased per-flow state in individual network elements. Moreover, existing network-assisted multicast is unable to meet the newly emerging need, such as load balancing and traffic engineering. This paper presents a novel multicast technique called Carrier-Grade Minimalism Multicast (CGM2). Through a string of bits, the bitmap, nodes are instructed to locally replicate packets and forward them over several interfaces without maintaining a per-flow state. Bitmaps of nodes along the multicast path are encapsulated in the recursive format as a binary in-packet tree for explicit forwarding path.

Group communication is a communication pattern where data is distributed from one sender to many receivers. It is widely applied in content distribution scenarios, such as IPTV, live streaming, video conference, data delivery, and others. Multicast is an efficient one-to-many data distribution method. However, application-layer multicast still has problems of inefficient network utilization as it is not allowed to control network elements. Existing network assisted multicast is unable to meet the newly emerging demand, such as multicast traffic engineering and load balancing. Some implementations of network assisted multicast are also limited to scalability issues caused by limitations of per-flow state maintained in network elements. In this paper, we introduce a novel multicast technology called Carrier-Grade Minimalism Multicast (CGMM) which leverages a string of bits, the bitmap, to instruct node to locally duplicate packets and forward them over several links without per-flow state and encapsulates bitmaps as binary in-packet tree for explicit forwarding path.